Merge pull request 'develop' (#1) from develop into main

Reviewed-on: #1
2026-02-07 18:06:50 +03:00
parent d197d1e5e2 0a3c0ac54d
commit 7246f54263
53 changed files with 4959 additions and 2409 deletions
--- a/.dockerignore
+++ b/.dockerignore
@@ -12,7 +12,6 @@ env/
 .idea
 *.log
 *.sqlite3
-static/
 media/
 node_modules/
 npm-debug.log*
@@ -20,4 +19,12 @@ yarn-debug.log*
 yarn-error.log*
 Dockerfile
 docker-compose.yml
+docker-compose.dev.yml
 README.md
+*.md
+clouds.yaml
+.env.example
+tailwind.config.js
+package.json
+package-lock.json
+dashboard/tests/
--- a/.env.example
+++ b/.env.example
@@ -0,0 +1,9 @@
+# Optional: copy to .env and set for your environment.
+# For docker-compose, add to docker-compose.yml: env_file: [.env]
+
+# PYTHONUNBUFFERED=1
+# USE_MOCK_DATA=false
+# PROMETHEUS_URL=http://127.0.0.1:1234/
+# OPENSTACK_CLOUD=distlab
+# OPENSTACK_REGION_NAME=cl2k1distlab
+# SECRET_KEY=your-secret-key
--- a/.gitea/workflows/ci.yml
+++ b/.gitea/workflows/ci.yml
@@ -0,0 +1,36 @@
+name: CI
+
+on:
+  push:
+    branches: [main, develop]
+  pull_request:
+    branches: [main, develop]
+
+jobs:
+  ci:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout
+        uses: https://gitea.com/actions/checkout@v4
+
+      - name: Set up Python
+        uses: https://gitea.com/actions/setup-python@v5
+        with:
+          python-version: "3.12"
+
+      - name: Install dependencies
+        run: pip install -r requirements.txt
+
+      - name: Install lint and security tools
+        run: pip install ruff bandit
+
+      - name: Lint with Ruff
+        run: ruff check dashboard watcher_visio
+
+      - name: Run tests
+        env:
+          USE_MOCK_DATA: "true"
+        run: python manage.py test dashboard
+
+      - name: Security check with Bandit
+        run: bandit -r dashboard watcher_visio -ll
--- a/.gitea/workflows/docker-build.yml
+++ b/.gitea/workflows/docker-build.yml
@@ -0,0 +1,75 @@
+name: Docker build and release
+
+on:
+  push:
+    branches: [main]
+
+jobs:
+  build-and-push:
+    runs-on: ubuntu-latest
+    permissions:
+      contents: read
+      packages: write
+    outputs:
+      tag: ${{ steps.meta.outputs.tag }}
+    steps:
+      - name: Checkout
+        uses: https://gitea.com/actions/checkout@v4
+        with:
+          fetch-depth: 0
+
+      - name: Set release tag
+        id: meta
+        run: |
+          echo "tag=v$(date +%Y%m%d)-${GITHUB_SHA:0:7}" >> $GITHUB_OUTPUT
+
+      - name: Extract registry host
+        id: registry
+        run: |
+          echo "host=${GITHUB_SERVER_URL#https://}" >> $GITHUB_OUTPUT
+
+      - name: Log in to Gitea Container Registry
+        run: |
+          echo "${{ secrets.REGISTRY_TOKEN }}" | docker login ${{ steps.registry.outputs.host }} -u ${{ github.actor }} --password-stdin
+
+      - name: Build and push
+        run: |
+          IMAGE="${{ steps.registry.outputs.host }}/${{ github.repository }}"
+          TAG="${{ steps.meta.outputs.tag }}"
+          docker build -t "$IMAGE:$TAG" -t "$IMAGE:latest" .
+          docker push "$IMAGE:$TAG"
+          docker push "$IMAGE:latest"
+
+  release:
+    runs-on: ubuntu-latest
+    needs: build-and-push
+    permissions:
+      contents: write
+    steps:
+      - name: Checkout
+        uses: https://gitea.com/actions/checkout@v4
+        with:
+          fetch-depth: 0
+
+      - name: Generate release notes
+        id: notes
+        run: |
+          PREV=$(git describe --tags --abbrev=0 2>/dev/null || echo "")
+          if [ -z "$PREV" ]; then
+            echo "## Changes" > release_notes.md
+            echo "" >> release_notes.md
+            git log --pretty=format:"- %s (%h)" >> release_notes.md || echo "- Initial release" >> release_notes.md
+          else
+            echo "## Changes since $PREV" > release_notes.md
+            echo "" >> release_notes.md
+            git log "$PREV"..HEAD --pretty=format:"- %s (%h)" >> release_notes.md
+          fi
+
+      - name: Create release
+        uses: https://gitea.com/actions/gitea-release-action@v1
+        with:
+          token: ${{ secrets.REGISTRY_TOKEN }}
+          tag_name: ${{ needs.build-and-push.outputs.tag }}
+          body_path: release_notes.md
+          target_commitish: ${{ github.sha }}
+
--- a/.gitignore
+++ b/.gitignore
@@ -2,6 +2,8 @@
 *.pyc
 __pycache__/
 venv/
+.venv/
+.venv/
 .env
 db.sqlite3

@@ -24,3 +26,5 @@ static/css/tailwindcss

 # NodeJS
 node_modules
+
+clouds.yaml
--- a/36
+++ b/36
@@ -1,32 +1,42 @@
-FROM alpine:3 AS build
+FROM alpine:3.21 AS build

 RUN apk update && \
    apk add --no-cache --virtual .build-deps \
    ca-certificates gcc postgresql-dev linux-headers musl-dev \
    libffi-dev jpeg-dev zlib-dev \
-    git bash build-base python3-dev
+    build-base python3-dev dos2unix

 RUN python3 -m venv /venv
-ENV PATH "/venv/bin:$PATH"
+ENV PATH="/venv/bin:$PATH"
 COPY ./requirements.txt /
-RUN pip install -r /requirements.txt
+RUN --mount=type=cache,target=/root/.cache/pip \
+    pip install -r /requirements.txt
+
+COPY ./docker-entrypoint.sh /docker-entrypoint.sh
+RUN dos2unix /docker-entrypoint.sh && \
+    chmod +x /docker-entrypoint.sh


-FROM alpine:3
+FROM alpine:3.21

-ENV LANG C.UTF-8
-ENV LC_ALL C.UTF-8
+ENV LANG=C.UTF-8
+ENV LC_ALL=C.UTF-8

-ENV PYTHONUNBUFFERED 1
-ENV PATH "/venv/bin:$PATH"
+ENV PYTHONUNBUFFERED=1
+ENV PATH="/venv/bin:$PATH"

-RUN apk add --no-cache --update python3
+RUN apk add --no-cache --update python3 curl

 COPY --from=build /venv /venv
+COPY --from=build /docker-entrypoint.sh /docker-entrypoint.sh

-RUN mkdir /app
 WORKDIR /app
-COPY ./ /
+COPY . /app
+ENV DJANGO_SETTINGS_MODULE=watcher_visio.settings
+RUN python3 manage.py collectstatic --noinput
+
+RUN adduser -D -g "" app && chown -R app:app /app
+USER app

 ENTRYPOINT ["/docker-entrypoint.sh"]
-CMD [ "python", "manage.py", "runserver", "0.0.0.0:8000" ]
+CMD ["python3", "manage.py", "runserver", "0.0.0.0:8080"]
--- a/README.md
+++ b/README.md
@@ -0,0 +1,171 @@
+# watcher-visio
+
+Web dashboard (**SWatcher**) for monitoring an OpenStack cluster and visualising OpenStack Watcher audits: region and host counts, physical/virtual CPU and RAM usage, VM stats, top flavors, and audit recommendations (migrations) with CPU load charts per host.
+
+Data sources:
+
+- **OpenStack** (SDK, `clouds.yaml`): compute region, servers, flavors; Watcher API for audits, action plans, and actions.
+- **Prometheus**: node_exporter, libvirt, and placement metrics for pCPU/vCPU, pRAM/vRAM, and VM counts.
+
+---
+
+## Configuration
+
+### Environment variables
+
+Copy [.env.example](.env.example) to `.env` and set as needed. For Docker Compose you can use `env_file: [.env]` in `docker-compose.yml`.
+
+| Variable | Description |
+|----------|-------------|
+| `PROMETHEUS_URL` | Prometheus base URL (e.g. `http://10.0.0.1:9090/`). |
+| `OPENSTACK_CLOUD` | Cloud name from `clouds.yaml` (e.g. `distlab`). |
+| `OPENSTACK_REGION_NAME` | OpenStack region (e.g. `cl2k1distlab`). |
+| `USE_MOCK_DATA` | Set to `true`/`1`/`yes` to serve mock data (no OpenStack/Prometheus). Useful for local/dev. |
+| `SECRET_KEY` | Django secret key; override in production. |
+
+Defaults for Prometheus and OpenStack are in [watcher_visio/settings.py](watcher_visio/settings.py).
+
+### OpenStack (`clouds.yaml`)
+
+Authentication uses OpenStack’s standard `clouds.yaml`. The cloud name must match `OPENSTACK_CLOUD`. Place `clouds.yaml` in the project root (or standard OpenStack config location). **Do not commit real credentials;** use a local or CI-specific file and keep production secrets out of the repo.
+
+---
+
+## Running locally
+
+1. Create a virtualenv and install dependencies:
+
+   ```bash
+   python -m venv .venv
+   source .venv/bin/activate   # or .venv\Scripts\activate on Windows
+   pip install -r requirements.txt
+   ```
+
+2. Optionally build frontend CSS (see [Frontend build](#frontend-build)).
+
+3. Configure `clouds.yaml` and environment (e.g. `.env` or export `PROMETHEUS_URL`, `OPENSTACK_CLOUD`, `OPENSTACK_REGION_NAME`). For development without OpenStack/Prometheus, set `USE_MOCK_DATA=true`.
+
+4. Run migrations and start the server:
+
+   ```bash
+   python manage.py migrate
+   python manage.py runserver
+   ```
+
+   Open http://127.0.0.1:8000/ (or the port shown). With `USE_MOCK_DATA=true`, the dashboard is filled with mock data; otherwise the page loads a skeleton and fetches data from the API.
+
+---
+
+## Running with Docker
+
+**Production-like** (built image, no volume mount):
+
+```bash
+ docker compose up --build
+```
+
+App is available at http://localhost:8080. Healthcheck hits `GET /`.
+
+**Development** (mounted code, mock data, no OpenStack/Prometheus):
+
+```bash
+docker compose -f docker-compose.yml -f docker-compose.dev.yml up --build
+```
+
+Uses `USE_MOCK_DATA=true` and mounts the project directory for live code changes. Build CSS before building the image so `static/css/output.css` is present, or run `npm run build` locally before `docker compose ... up --build`.
+
+---
+
+## Frontend build
+
+CSS is built with Tailwind and DaisyUI ([package.json](package.json)).
+
+- Install: `npm install`
+- One-off build: `npm run build`
+- Watch: `npm run dev`
+
+Source: [static/css/main.css](static/css/main.css). Output: `static/css/output.css`. For Docker, run `npm run build` before building the image so the image includes `output.css`.
+
+---
+
+## API
+
+| Endpoint | Description |
+|----------|-------------|
+| `GET /` | Dashboard page. With `USE_MOCK_DATA=true`, rendered with mock context; otherwise skeleton, with data loaded via the API. |
+| `GET /api/stats/` | JSON: region, pCPU/vCPU, pRAM/vRAM, VM stats, top flavors. Cached for `DASHBOARD_CACHE_TTL` seconds (see settings). |
+| `GET /api/audits/` | JSON: `{ "audits": [ ... ] }` — list of Watcher audits with migrations and chart data (host labels, cpu_current, cpu_projected). Same cache TTL. |
+
+---
+
+## Repository structure
+
+| Path | Description |
+|------|-------------|
+| `watcher_visio/` | Django project: settings, root URL config, WSGI/ASGI. |
+| `dashboard/` | Main app: views (index, api_stats, api_audits), `openstack_utils` (connect, flavor, audits), `prometheus_utils` (query), `mock_data`, `templatetags` (mathfilters), tests. |
+| `templates/`, `static/` | HTML templates and static assets (Tailwind output, Chart.js, etc.). |
+| `clouds.yaml` | OpenStack config (do not commit production secrets). |
+| [Dockerfile](Dockerfile), [docker-entrypoint.sh](docker-entrypoint.sh) | Image build and entrypoint (migrate then run server). |
+| [docker-compose.yml](docker-compose.yml), [docker-compose.dev.yml](docker-compose.dev.yml) | Compose: base (prod-like) and dev override (mount + mock). |
+
+---
+
+## Architecture
+
+```mermaid
+flowchart LR
+  subgraph sources [Data sources]
+    OS[OpenStack SDK]
+    Prom[Prometheus]
+    Watcher[Watcher API]
+  end
+  subgraph app [Django]
+    Views[views]
+    Cache[(Cache)]
+  end
+  subgraph out [Output]
+    HTML[HTML]
+    API[JSON API]
+  end
+  subgraph frontend [Frontend]
+    Chart[Chart.js]
+  end
+  OS --> Views
+  Prom --> Views
+  Watcher --> Views
+  Views --> Cache
+  Cache --> Views
+  Views --> HTML
+  Views --> API
+  HTML --> Chart
+  API --> Chart
+```
+
+OpenStack (region, servers, flavors), Prometheus (metrics), and the Watcher API (audits, action plans, actions) are queried in Django views; results are cached. The dashboard page is either rendered with mock/skeleton data or loads stats and audits via `/api/stats/` and `/api/audits/`; Chart.js draws the CPU and other charts.
+
+---
+
+## Running tests
+
+From the project root (with Django and dependencies installed, e.g. in a virtualenv):
+
+```bash
+python manage.py test dashboard
+```
+
+Run a specific test module:
+
+```bash
+python manage.py test dashboard.tests.test_mathfilters
+```
+
+### Running tests in Docker
+
+Use the **dev** compose file so the project directory is mounted; the container will then run tests against your current code (no image rebuild needed):
+
+```bash
+docker compose -f docker-compose.yml -f docker-compose.dev.yml run --rm watcher-visio python3 manage.py test dashboard
+```
+
+If you run tests with only the base compose (`docker compose run --rm watcher-visio ...`), the container uses the code baked into the image at build time. After code or test changes, either rebuild the image or use the dev override above so tests see the latest files.
--- a/dashboard/_test.py
+++ b/dashboard/_test.py
--- a/dashboard/mock_data.py
+++ b/dashboard/mock_data.py
@@ -0,0 +1,122 @@
+"""Mock context for dashboard when USE_MOCK_DATA is enabled (no OpenStack/Prometheus)."""
+
+import json
+
+
+def get_mock_context():
+    """Return a context dict with the same structure as collect_context(), render-ready."""
+    hosts_total = 6
+    pcpu_total = 48
+    pcpu_usage = 12.5
+    vcpu_allocated = 96
+    vcpu_overcommit_max = 2.0
+    pram_total = 256 * 1024**3  # 256 GB in bytes
+    pram_usage = 120 * 1024**3
+    vram_allocated = 192 * 1024**3
+    vram_overcommit_max = 1.5
+    vm_count = 24
+    vm_active = 22
+
+    vcpu_total = pcpu_total * vcpu_overcommit_max
+    vram_total = pram_total * vram_overcommit_max
+
+    # Two sample audits with serialized fields for JS
+    host_labels = ["compute-0", "compute-1", "compute-2", "compute-3", "compute-4", "compute-5"]
+    cpu_current = [45.2, 38.1, 52.0, 41.3, 29.8, 48.5]
+    cpu_projected = [42.0, 40.0, 48.0, 44.0, 35.0, 46.0]
+
+    audits = [
+        {
+            "id": "mock-audit-uuid-1",
+            "name": "Mock audit (balanced)",
+            "created_at": "2025-02-01T10:00:00",
+            "strategy": "Balanced",
+            "goal": "BALANCED",
+            "type": "ONESHOT",
+            "scope": "Full Cluster",
+            "cpu_weight": "1.0",
+            "ram_weight": "1.0",
+            "migrations": json.dumps(
+                [
+                    {
+                        "instanceName": "instance-1",
+                        "source": "compute-0",
+                        "destination": "compute-3",
+                        "flavor": "m1.small",
+                        "impact": "Low",
+                    }
+                ]
+            ),
+            "host_labels": json.dumps(host_labels),
+            "cpu_current": json.dumps(cpu_current),
+            "cpu_projected": json.dumps(cpu_projected),
+        },
+        {
+            "id": "mock-audit-uuid-2",
+            "name": "Mock audit (workload consolidation)",
+            "created_at": "2025-02-02T14:30:00",
+            "strategy": "Workload consolidation",
+            "goal": "WORKLOAD_CONSOLIDATION",
+            "type": "ONESHOT",
+            "scope": "Full Cluster",
+            "cpu_weight": "1.0",
+            "ram_weight": "1.0",
+            "migrations": json.dumps([]),
+            "host_labels": json.dumps(host_labels),
+            "cpu_current": json.dumps(cpu_current),
+            "cpu_projected": json.dumps([40.0, 42.0, 50.0, 43.0, 36.0, 45.0]),
+        },
+    ]
+
+    return {
+        "region": {
+            "name": "mock-region",
+            "hosts_total": hosts_total,
+        },
+        "pcpu": {
+            "total": pcpu_total,
+            "usage": pcpu_usage,
+            "free": pcpu_total - pcpu_usage,
+            "used_percentage": pcpu_usage / pcpu_total * 100,
+        },
+        "vcpu": {
+            "total": int(vcpu_total),
+            "allocated": vcpu_allocated,
+            "free": int(vcpu_total) - vcpu_allocated,
+            "allocated_percentage": vcpu_allocated / vcpu_total * 100,
+            "overcommit_ratio": vcpu_allocated / pcpu_total,
+            "overcommit_max": vcpu_overcommit_max,
+        },
+        "pram": {
+            "total": pram_total,
+            "usage": pram_usage,
+            "free": pram_total - pram_usage,
+            "used_percentage": pram_usage / pram_total * 100,
+        },
+        "vram": {
+            "total": vram_total,
+            "allocated": vram_allocated,
+            "free": vram_total - vram_allocated,
+            "allocated_percentage": vram_allocated / vram_total * 100,
+            "overcommit_ratio": vram_allocated / pram_total,
+            "overcommit_max": vram_overcommit_max,
+        },
+        "vm": {
+            "count": vm_count,
+            "active": vm_active,
+            "stopped": vm_count - vm_active,
+            "avg_cpu": vcpu_allocated / vm_count if vm_count else 0,
+            "avg_ram": vram_allocated / vm_count if vm_count else 0,
+            "density": vm_count / hosts_total,
+        },
+        "flavors": {
+            "first_common_flavor": {"name": "m1.small", "count": 12},
+            "second_common_flavor": {"name": "m1.medium", "count": 8},
+            "third_common_flavor": {"name": "m1.large", "count": 4},
+        },
+        "audits": audits,
+        "current_cluster": {
+            "host_labels": json.dumps(host_labels),
+            "cpu_current": json.dumps(cpu_current),
+        },
+    }
--- a/dashboard/openstack_utils/audits.py
+++ b/dashboard/openstack_utils/audits.py
@@ -1,124 +1,146 @@
-import pandas
-
 from copy import copy

+import pandas
 from openstack.connection import Connection
-
-from watcher_visio.settings import WATCHER_ENDPOINT_NAME, WATCHER_INTERFACE_NAME, PROMETHEUS_METRICS
+from watcher_visio.settings import PROMETHEUS_METRICS, WATCHER_ENDPOINT_NAME, WATCHER_INTERFACE_NAME

 from dashboard.prometheus_utils.query import query_prometheus

+
 def convert_cpu_data(data: list):
    metrics = []

+    if not data:
+        return pandas.DataFrame(columns=["host", "cpu_usage"])
+
    for entry in data:
        for t, val in entry["values"]:
-            metrics.append({
+            metrics.append(
+                {
                    "timestamp": int(t),
                    "host": entry["metric"]["host"],
                    "cpu_usage": float(val),
-                "instance": entry["metric"]["instanceName"]
-            })
+                    "instance": entry["metric"]["instanceName"],
+                }
+            )

    df_cpu = pandas.DataFrame(metrics)
    df_cpu["timestamp"] = pandas.to_datetime(df_cpu["timestamp"], unit="s")

    # Aggregate CPU usage per host
    return (
-        df_cpu.groupby(["host", "timestamp"])["cpu_usage"].sum()
-        .groupby("host").mean()
+        df_cpu.groupby(["host", "timestamp"])["cpu_usage"]
+        .sum()
+        .groupby("host")
+        .mean()
        .reset_index()
    )

+
+def get_current_cluster_cpu(connection: Connection) -> dict:
+    """Return current per-host CPU state for the cluster (no Watcher dependency)."""
+    cpu_data = query_prometheus(PROMETHEUS_METRICS["cpu_usage"])
+    cpu_metrics = convert_cpu_data(data=cpu_data)
+    if cpu_metrics.empty:
+        return {"host_labels": [], "cpu_current": []}
+    return {
+        "host_labels": cpu_metrics["host"].to_list(),
+        "cpu_current": cpu_metrics["cpu_usage"].to_list(),
+    }
+
+
 def get_audits(connection: Connection) -> list[dict] | None:
    session = connection.session

    watcher_endpoint = connection.endpoint_for(
-        service_type=WATCHER_ENDPOINT_NAME,
-        interface=WATCHER_INTERFACE_NAME
+        service_type=WATCHER_ENDPOINT_NAME, interface=WATCHER_INTERFACE_NAME
    )

    # Collect instances prometheus metrics
-    cpu_data = query_prometheus(PROMETHEUS_METRICS['cpu_usage'])
+    cpu_data = query_prometheus(PROMETHEUS_METRICS["cpu_usage"])

    cpu_metrics = convert_cpu_data(data=cpu_data)

    # Fetch audit list
-    audits_resp = session.get(
-        f"{watcher_endpoint}/v1/audits"
-    )
+    audits_resp = session.get(f"{watcher_endpoint}/v1/audits")
    audits_resp.raise_for_status()
-    audits_resp.json().get('audits')
+    audits_resp = audits_resp.json().get("audits") or []

    # Fetch action plan list
-    actionplans_resp = session.get(
-        f"{watcher_endpoint}/v1/action_plans"
-    )
+    actionplans_resp = session.get(f"{watcher_endpoint}/v1/action_plans")
    actionplans_resp.raise_for_status()
-    actionplans_resp.json().get('action_plans')
+    actionplans_resp = actionplans_resp.json().get("action_plans") or []

    # Filtering audits by PENDING state
-    pending_audits = [audit for audit in audits_resp if audit['state'] == "PENDING"]
+    pending_audits = [plan for plan in actionplans_resp if plan["state"] == "RECOMMENDED"]

    result = []
    for item in pending_audits:
        projected_cpu_data = copy(cpu_data)

-        audit_resp = session.get(
-            f"{watcher_endpoint}/v1/audits/{item['uuid']}"
-        )
+        audit_resp = session.get(f"{watcher_endpoint}/v1/audits/{item['audit_uuid']}")
        audit_resp.raise_for_status()
        audit_resp = audit_resp.json()

-        actionplan = next(filter(lambda x: x.get("audit_uuid") == audit_resp['uuid'], actionplans_resp), None)
+        actionplan = next(
+            filter(lambda x: x.get("audit_uuid") == audit_resp["uuid"], actionplans_resp), None
+        )
+        if actionplan is None:
+            continue

        actions_resp = session.get(
            f"{watcher_endpoint}/v1/actions/?action_plan_uuid={actionplan['uuid']}"
        )
        actions_resp.raise_for_status()
-        actions_resp = actions_resp.json().get('actions')
+        actions_resp = actions_resp.json().get("actions") or []

        migrations = []
        mapping = {}
        for action in actions_resp:
-            action_resp = session.get(
-                f"{watcher_endpoint}/v1/actions/{action['uuid']}"
-            )
+            action_resp = session.get(f"{watcher_endpoint}/v1/actions/{action['uuid']}")
            action_resp.raise_for_status()
            action_resp = action_resp.json()

-            server = connection.get_server_by_id(action['input_parameters']['resource_id'])
-            params = action_resp['input_parameters']
-            mapping[params['resource_name']] = params['destination_node']
+            server = connection.get_server_by_id(action_resp["input_parameters"]["resource_id"])
+            params = action_resp["input_parameters"]
+            mapping[params["resource_name"]] = params["destination_node"]

-            migrations.append({
-                "instanceName": action['input_parameters']['resource_name'],
-                "source": action['input_parameters']['source_node'],
-                "destination": action['input_parameters']['destination_node'],
+            migrations.append(
+                {
+                    "instanceName": action_resp["input_parameters"]["resource_name"],
+                    "source": action_resp["input_parameters"]["source_node"],
+                    "destination": action_resp["input_parameters"]["destination_node"],
                    "flavor": server.flavor.name,
-                "impact": 'Low'
-            })
+                    "impact": "Low",
+                }
+            )

        for entry in projected_cpu_data:
-            if (instance := entry['metric']['instanceName']) in mapping:
-                entry['metric']['host'] = mapping[instance]
+            if (instance := entry["metric"]["instanceName"]) in mapping:
+                entry["metric"]["host"] = mapping[instance]

        projected_cpu_metrics = convert_cpu_data(projected_cpu_data)

-        result.append({
-            "id": audit_resp['uuid'],
-            "name": audit_resp['name'],
-            "created_at": audit_resp['created_at'],
-            "strategy": audit_resp['strategy_name'],
-            "goal": audit_resp['goal_name'],
-            "type": audit_resp['audit_type'],
-            "scope": audit_resp['scope'],
-            "cpu_weight": audit_resp['parameters'].get('weights', {}).get('instance_cpu_usage_weight', "none"),
-            "ram_weight": audit_resp['parameters'].get('weights', {}).get('instance_ram_usage_weight', "none"),
+        result.append(
+            {
+                "id": audit_resp["uuid"],
+                "name": audit_resp["name"],
+                "created_at": audit_resp["created_at"],
+                "strategy": audit_resp["strategy_name"],
+                "goal": audit_resp["goal_name"],
+                "type": audit_resp["audit_type"],
+                "scope": audit_resp["scope"],
+                "cpu_weight": audit_resp["parameters"]
+                .get("weights", {})
+                .get("instance_cpu_usage_weight", "none"),
+                "ram_weight": audit_resp["parameters"]
+                .get("weights", {})
+                .get("instance_ram_usage_weight", "none"),
                "migrations": migrations,
-            "host_labels": cpu_metrics['host'].to_list(),
-            "cpu_current": cpu_metrics['cpu_usage'].to_list(),
-            "cpu_projected": projected_cpu_metrics['cpu_usage'].to_list(),
-        })
+                "host_labels": cpu_metrics["host"].to_list(),
+                "cpu_current": cpu_metrics["cpu_usage"].to_list(),
+                "cpu_projected": projected_cpu_metrics["cpu_usage"].to_list(),
+            }
+        )

    return result
--- a/dashboard/openstack_utils/connect.py
+++ b/dashboard/openstack_utils/connect.py
@@ -1,8 +1,22 @@
 import openstack
 from openstack.connection import Connection
-
 from watcher_visio.settings import OPENSTACK_CLOUD, OPENSTACK_REGION_NAME

+
+def check_openstack() -> dict:
+    """
+    Lightweight check that OpenStack is reachable (connection only).
+    Returns {"status": "ok"} or {"status": "error", "message": "..."}.
+    """
+    try:
+        conn = openstack.connect(cloud=OPENSTACK_CLOUD, region_name=OPENSTACK_REGION_NAME)
+        if conn is None:
+            return {"status": "error", "message": "No connection"}
+        return {"status": "ok"}
+    except Exception as e:
+        return {"status": "error", "message": str(e) or "Connection failed"}
+
+
 def get_connection() -> Connection:
    connection = openstack.connect(cloud=OPENSTACK_CLOUD, region_name=OPENSTACK_REGION_NAME)
    return connection
--- a/dashboard/openstack_utils/flavor.py
+++ b/dashboard/openstack_utils/flavor.py
@@ -1,20 +1,21 @@
+from collections import Counter
+
 from openstack.connection import Connection

-from collections import Counter

 def get_flavor_list(connection: Connection) -> dict:
    servers = list(connection.compute.servers(all_projects=True))
-    flavor_ids = [s.flavor['id'] for s in servers if 'id' in s.flavor]
+    flavor_ids = [s.flavor["id"] for s in servers if "id" in s.flavor]
    flavor_count = Counter(flavor_ids).most_common()

    flavors = list(flavor_count)

    result = {}
+    placeholder = {"name": "—", "count": 0}
    for idx, prefix in [(0, "first"), (1, "second"), (2, "third")]:
        if len(flavors) > idx:
-            result[f"{prefix}_common_flavor"] = {
-                "name": flavors[idx][0],
-                "count": flavors[idx][1]
-            }
+            result[f"{prefix}_common_flavor"] = {"name": flavors[idx][0], "count": flavors[idx][1]}
+        else:
+            result[f"{prefix}_common_flavor"] = placeholder

    return result
--- a/dashboard/prometheus_utils/query.py
+++ b/dashboard/prometheus_utils/query.py
@@ -1,16 +1,38 @@
 import requests
-
 from watcher_visio.settings import PROMETHEUS_URL

+# Timeout for lightweight health check (seconds)
+CHECK_TIMEOUT = 5
+
+
+def check_prometheus() -> dict:
+    """
+    Lightweight check that Prometheus is reachable.
+    Returns {"status": "ok"} or {"status": "error", "message": "..."}.
+    """
+    url = f"{PROMETHEUS_URL.rstrip('/')}/api/v1/query"
+    try:
+        response = requests.get(url, params={"query": "1"}, timeout=CHECK_TIMEOUT)
+        response.raise_for_status()
+        data = response.json()
+        if "data" in data and "result" in data["data"]:
+            return {"status": "ok"}
+        return {"status": "error", "message": "Invalid response"}
+    except requests.RequestException as e:
+        return {"status": "error", "message": str(e) or "Connection failed"}
+    except (ValueError, KeyError) as e:
+        return {"status": "error", "message": str(e) or "Invalid response"}
+
+
 def query_prometheus(query: str) -> str | list[str]:
    url = f"{PROMETHEUS_URL}/api/v1/query"
    params = {
        "query": query,
    }
-    response = requests.get(url=url, params=params)
+    response = requests.get(url=url, params=params, timeout=CHECK_TIMEOUT)
    response.raise_for_status()
    result = response.json()["data"]["result"]
    if len(result) > 1:
-        return result[0]["value"][1]
+        return result
    else:
-        return result[0]["values"]
+        return result[0]["value"][1]
--- a/dashboard/templatetags/mathfilters.py
+++ b/dashboard/templatetags/mathfilters.py
@@ -2,29 +2,33 @@ from django import template

 register = template.Library()

+
@register.filter
 def div(a, b):
    try:
        return float(a) / float(b)
-    except:
+    except (TypeError, ValueError, ZeroDivisionError):
        return 0

+
@register.filter
 def mul(a, b):
    try:
        return float(a) * float(b)
-    except:
+    except (TypeError, ValueError):
        return 0

+
@register.filter
 def sub(a, b):
    try:
        return float(a) - float(b)
-    except:
+    except (TypeError, ValueError):
        return 0

+
@register.filter
-def convert_bytes(bytes_value, target_unit='GB'):
+def convert_bytes(bytes_value, target_unit="GB"):
    """
    Convert bytes to specific unit

@@ -41,16 +45,16 @@ def convert_bytes(bytes_value, target_unit='GB'):
    except (ValueError, TypeError):
        return 0.0
    conversion_factors = {
-        'B': 1,
-        'KB': 1024,
-        'MB': 1024 * 1024,
-        'GB': 1024 * 1024 * 1024,
-        'TB': 1024 * 1024 * 1024 * 1024,
+        "B": 1,
+        "KB": 1024,
+        "MB": 1024 * 1024,
+        "GB": 1024 * 1024 * 1024,
+        "TB": 1024 * 1024 * 1024 * 1024,
    }

    target_unit = target_unit.upper()
    if target_unit not in conversion_factors:
-        target_unit = 'MB'
+        target_unit = "MB"

    result = bytes_value / conversion_factors[target_unit]
    return round(result, 1)
--- a/dashboard/tests/init.py
+++ b/dashboard/tests/init.py
@@ -0,0 +1 @@
+# Dashboard test package
--- a/dashboard/tests/test_audits.py
+++ b/dashboard/tests/test_audits.py
@@ -0,0 +1,77 @@
+"""Tests for dashboard.openstack_utils.audits."""
+
+from unittest.mock import MagicMock, patch
+
+from django.test import TestCase
+
+from dashboard.openstack_utils.audits import convert_cpu_data, get_current_cluster_cpu
+
+
+class ConvertCpuDataTest(TestCase):
+    """Tests for convert_cpu_data."""
+
+    def test_aggregates_cpu_usage_per_host(self):
+        data = [
+            {
+                "metric": {"host": "compute-0", "instanceName": "inst1"},
+                "values": [[1000, "10.0"], [1001, "20.0"]],
+            },
+            {
+                "metric": {"host": "compute-0", "instanceName": "inst2"},
+                "values": [[1000, "5.0"]],
+            },
+            {
+                "metric": {"host": "compute-1", "instanceName": "inst3"},
+                "values": [[1000, "30.0"]],
+            },
+        ]
+        result = convert_cpu_data(data)
+        self.assertIn("host", result.columns)
+        self.assertIn("cpu_usage", result.columns)
+        hosts = result["host"].tolist()
+        self.assertEqual(len(hosts), 2)
+        self.assertIn("compute-0", hosts)
+        self.assertIn("compute-1", hosts)
+        # compute-0: (10+20)/2 for ts 1000 and 5 for ts 1000 -> groupby host,timestamp sum
+        # -> then groupby host mean
+        # For compute-0: two timestamps 1000 (10+5=15) and 1001 (20).
+        # Mean over timestamps = (15+20)/2 = 17.5
+        # For compute-1: one value 30
+        by_host = result.set_index("host")["cpu_usage"]
+        self.assertAlmostEqual(by_host["compute-0"], 17.5)
+        self.assertAlmostEqual(by_host["compute-1"], 30.0)
+
+    def test_empty_data_returns_empty_dataframe_with_columns(self):
+        result = convert_cpu_data([])
+        self.assertIn("host", result.columns)
+        self.assertIn("cpu_usage", result.columns)
+        self.assertEqual(len(result), 0)
+
+
+class GetCurrentClusterCpuTest(TestCase):
+    """Tests for get_current_cluster_cpu."""
+
+    @patch("dashboard.openstack_utils.audits.query_prometheus")
+    def test_returns_empty_lists_when_no_data(self, mock_query):
+        mock_query.return_value = []
+        conn = MagicMock()
+        result = get_current_cluster_cpu(conn)
+        self.assertEqual(result["host_labels"], [])
+        self.assertEqual(result["cpu_current"], [])
+
+    @patch("dashboard.openstack_utils.audits.convert_cpu_data")
+    @patch("dashboard.openstack_utils.audits.query_prometheus")
+    def test_returns_host_labels_and_cpu_current(self, mock_query, mock_convert):
+        import pandas as pd
+
+        mock_query.return_value = [{"metric": {"host": "h0"}, "values": [[0, "1.0"]]}]
+        mock_convert.return_value = pd.DataFrame(
+            {
+                "host": ["compute-0", "compute-1"],
+                "cpu_usage": [25.0, 35.0],
+            }
+        )
+        conn = MagicMock()
+        result = get_current_cluster_cpu(conn)
+        self.assertEqual(result["host_labels"], ["compute-0", "compute-1"])
+        self.assertEqual(result["cpu_current"], [25.0, 35.0])
--- a/dashboard/tests/test_flavor.py
+++ b/dashboard/tests/test_flavor.py
@@ -0,0 +1,65 @@
+"""Tests for dashboard.openstack_utils.flavor."""
+
+from unittest.mock import MagicMock
+
+from django.test import TestCase
+
+from dashboard.openstack_utils.flavor import get_flavor_list
+
+
+def make_mock_server(flavor_id):
+    """Create a mock server object with flavor['id']."""
+    s = MagicMock()
+    s.flavor = {"id": flavor_id}
+    return s
+
+
+class GetFlavorListTest(TestCase):
+    """Tests for get_flavor_list."""
+
+    def test_returns_first_second_third_common_flavor_keys(self):
+        mock_conn = MagicMock()
+        mock_conn.compute.servers.return_value = [
+            make_mock_server("m1.small"),
+            make_mock_server("m1.small"),
+            make_mock_server("m1.medium"),
+        ]
+        result = get_flavor_list(connection=mock_conn)
+        self.assertIn("first_common_flavor", result)
+        self.assertIn("second_common_flavor", result)
+        self.assertIn("third_common_flavor", result)
+
+    def test_most_common_flavor_first(self):
+        mock_conn = MagicMock()
+        mock_conn.compute.servers.return_value = [
+            make_mock_server("m1.large"),
+            make_mock_server("m1.small"),
+            make_mock_server("m1.small"),
+            make_mock_server("m1.small"),
+        ]
+        result = get_flavor_list(connection=mock_conn)
+        self.assertEqual(result["first_common_flavor"]["name"], "m1.small")
+        self.assertEqual(result["first_common_flavor"]["count"], 3)
+        self.assertEqual(result["second_common_flavor"]["name"], "m1.large")
+        self.assertEqual(result["second_common_flavor"]["count"], 1)
+        self.assertEqual(result["third_common_flavor"]["name"], "—")
+        self.assertEqual(result["third_common_flavor"]["count"], 0)
+
+    def test_empty_servers_uses_placeholder_for_all(self):
+        mock_conn = MagicMock()
+        mock_conn.compute.servers.return_value = []
+        result = get_flavor_list(connection=mock_conn)
+        placeholder = {"name": "—", "count": 0}
+        self.assertEqual(result["first_common_flavor"], placeholder)
+        self.assertEqual(result["second_common_flavor"], placeholder)
+        self.assertEqual(result["third_common_flavor"], placeholder)
+
+    def test_skips_servers_without_flavor_id(self):
+        mock_conn = MagicMock()
+        s_with_id = make_mock_server("m1.small")
+        s_without = MagicMock()
+        s_without.flavor = {}  # no 'id'
+        mock_conn.compute.servers.return_value = [s_with_id, s_without]
+        result = get_flavor_list(connection=mock_conn)
+        self.assertEqual(result["first_common_flavor"]["name"], "m1.small")
+        self.assertEqual(result["first_common_flavor"]["count"], 1)
--- a/dashboard/tests/test_mathfilters.py
+++ b/dashboard/tests/test_mathfilters.py
@@ -0,0 +1,104 @@
+"""Tests for dashboard.templatetags.mathfilters."""
+
+from django.template import Context, Template
+from django.test import TestCase
+
+from dashboard.templatetags.mathfilters import convert_bytes, div, mul, sub
+
+
+class DivFilterTest(TestCase):
+    """Tests for the div template filter."""
+
+    def test_div_normal(self):
+        self.assertEqual(div(10, 2), 5.0)
+        self.assertEqual(div(10.0, 4), 2.5)
+
+    def test_div_by_zero(self):
+        self.assertEqual(div(10, 0), 0)
+
+    def test_div_non_numeric(self):
+        self.assertEqual(div("x", 2), 0)
+        self.assertEqual(div(10, "y"), 0)
+        self.assertEqual(div(None, 2), 0)
+
+
+class MulFilterTest(TestCase):
+    """Tests for the mul template filter."""
+
+    def test_mul_normal(self):
+        self.assertEqual(mul(3, 4), 12.0)
+        self.assertEqual(mul(2.5, 4), 10.0)
+
+    def test_mul_non_numeric(self):
+        self.assertEqual(mul("a", 2), 0)
+        self.assertEqual(mul(2, None), 0)
+
+
+class SubFilterTest(TestCase):
+    """Tests for the sub template filter."""
+
+    def test_sub_normal(self):
+        self.assertEqual(sub(10, 3), 7.0)
+        self.assertEqual(sub(5.5, 2), 3.5)
+
+    def test_sub_non_numeric(self):
+        self.assertEqual(sub("x", 1), 0)
+        self.assertEqual(sub(5, "y"), 0)
+
+
+class ConvertBytesFilterTest(TestCase):
+    """Tests for the convert_bytes template filter."""
+
+    def test_convert_to_b(self):
+        self.assertEqual(convert_bytes(1024, "B"), 1024.0)
+
+    def test_convert_to_kb(self):
+        self.assertEqual(convert_bytes(2048, "KB"), 2.0)
+
+    def test_convert_to_mb(self):
+        self.assertEqual(convert_bytes(1024 * 1024 * 3, "MB"), 3.0)
+
+    def test_convert_to_gb(self):
+        self.assertEqual(convert_bytes(1024**3 * 5, "GB"), 5.0)
+
+    def test_convert_to_tb(self):
+        self.assertEqual(convert_bytes(1024**4, "TB"), 1.0)
+
+    def test_convert_default_gb(self):
+        self.assertEqual(convert_bytes(1024**3 * 2), 2.0)
+
+    def test_convert_invalid_unit_fallback_to_mb(self):
+        self.assertEqual(convert_bytes(1024 * 1024, "invalid"), 1.0)
+        self.assertEqual(convert_bytes(1024 * 1024, "xyz"), 1.0)
+
+    def test_convert_non_numeric_returns_zero(self):
+        self.assertEqual(convert_bytes("abc"), 0.0)
+        self.assertEqual(convert_bytes(None), 0.0)
+
+    def test_convert_rounds_to_one_decimal(self):
+        self.assertEqual(convert_bytes(1500 * 1024 * 1024, "GB"), 1.5)
+        self.assertEqual(convert_bytes(1536 * 1024 * 1024, "GB"), 1.5)
+
+    def test_convert_case_insensitive_unit(self):
+        self.assertEqual(convert_bytes(1024**3, "gb"), 1.0)
+        self.assertEqual(convert_bytes(1024**3, "GB"), 1.0)
+
+
+class MathfiltersTemplateIntegrationTest(TestCase):
+    """Test filters via template rendering."""
+
+    def test_div_in_template(self):
+        t = Template("{% load mathfilters %}{{ a|div:b }}")
+        self.assertEqual(t.render(Context({"a": 10, "b": 2})), "5.0")
+
+    def test_mul_in_template(self):
+        t = Template("{% load mathfilters %}{{ a|mul:b }}")
+        self.assertEqual(t.render(Context({"a": 3, "b": 4})), "12.0")
+
+    def test_sub_in_template(self):
+        t = Template("{% load mathfilters %}{{ a|sub:b }}")
+        self.assertEqual(t.render(Context({"a": 10, "b": 3})), "7.0")
+
+    def test_convert_bytes_in_template(self):
+        t = Template("{% load mathfilters %}{{ bytes|convert_bytes:'GB' }}")
+        self.assertEqual(t.render(Context({"bytes": 1024**3 * 2})), "2.0")
--- a/dashboard/tests/test_mock_data.py
+++ b/dashboard/tests/test_mock_data.py
@@ -0,0 +1,118 @@
+"""Tests for dashboard.mock_data."""
+
+import json
+
+from django.test import TestCase
+
+from dashboard.mock_data import get_mock_context
+
+
+class GetMockContextTest(TestCase):
+    """Tests for get_mock_context()."""
+
+    def test_returns_all_top_level_keys(self):
+        ctx = get_mock_context()
+        expected_keys = {
+            "region",
+            "pcpu",
+            "vcpu",
+            "pram",
+            "vram",
+            "vm",
+            "flavors",
+            "audits",
+            "current_cluster",
+        }
+        self.assertEqual(set(ctx.keys()), expected_keys)
+
+    def test_region_structure(self):
+        ctx = get_mock_context()
+        region = ctx["region"]
+        self.assertIn("name", region)
+        self.assertIn("hosts_total", region)
+        self.assertEqual(region["name"], "mock-region")
+        self.assertEqual(region["hosts_total"], 6)
+
+    def test_pcpu_structure_and_types(self):
+        ctx = get_mock_context()
+        pcpu = ctx["pcpu"]
+        self.assertEqual(pcpu["total"], 48)
+        self.assertEqual(pcpu["usage"], 12.5)
+        self.assertEqual(pcpu["free"], 48 - 12.5)
+        self.assertIsInstance(pcpu["used_percentage"], (int, float))
+
+    def test_vcpu_structure(self):
+        ctx = get_mock_context()
+        vcpu = ctx["vcpu"]
+        self.assertIn("total", vcpu)
+        self.assertIn("allocated", vcpu)
+        self.assertIn("free", vcpu)
+        self.assertIn("allocated_percentage", vcpu)
+        self.assertIn("overcommit_ratio", vcpu)
+        self.assertIn("overcommit_max", vcpu)
+        self.assertEqual(vcpu["overcommit_max"], 2.0)
+
+    def test_pram_vram_structure(self):
+        ctx = get_mock_context()
+        pram = ctx["pram"]
+        vram = ctx["vram"]
+        self.assertIn("total", pram)
+        self.assertIn("usage", pram)
+        self.assertIn("free", pram)
+        self.assertIn("used_percentage", pram)
+        self.assertIn("total", vram)
+        self.assertIn("allocated", vram)
+        self.assertIn("overcommit_max", vram)
+
+    def test_vm_structure(self):
+        ctx = get_mock_context()
+        vm = ctx["vm"]
+        self.assertEqual(vm["count"], 24)
+        self.assertEqual(vm["active"], 22)
+        self.assertEqual(vm["stopped"], 2)
+        self.assertIn("avg_cpu", vm)
+        self.assertIn("avg_ram", vm)
+        self.assertIn("density", vm)
+
+    def test_flavors_structure(self):
+        ctx = get_mock_context()
+        flavors = ctx["flavors"]
+        for key in ("first_common_flavor", "second_common_flavor", "third_common_flavor"):
+            self.assertIn(key, flavors)
+            self.assertIn("name", flavors[key])
+            self.assertIn("count", flavors[key])
+        self.assertEqual(flavors["first_common_flavor"]["name"], "m1.small")
+        self.assertEqual(flavors["first_common_flavor"]["count"], 12)
+
+    def test_audits_serialized_fields(self):
+        ctx = get_mock_context()
+        self.assertIsInstance(ctx["audits"], list)
+        self.assertGreaterEqual(len(ctx["audits"]), 1)
+        for audit in ctx["audits"]:
+            self.assertIn("migrations", audit)
+            self.assertIn("host_labels", audit)
+            self.assertIn("cpu_current", audit)
+            self.assertIn("cpu_projected", audit)
+            # These must be JSON strings (render-ready for JS)
+            self.assertIsInstance(audit["migrations"], str)
+            self.assertIsInstance(audit["host_labels"], str)
+            self.assertIsInstance(audit["cpu_current"], str)
+            self.assertIsInstance(audit["cpu_projected"], str)
+            # Must be valid JSON
+            json.loads(audit["migrations"])
+            json.loads(audit["host_labels"])
+            json.loads(audit["cpu_current"])
+            json.loads(audit["cpu_projected"])
+
+    def test_audits_metadata_fields(self):
+        ctx = get_mock_context()
+        audit = ctx["audits"][0]
+        self.assertIn("id", audit)
+        self.assertIn("name", audit)
+        self.assertIn("created_at", audit)
+        self.assertIn("strategy", audit)
+        self.assertIn("goal", audit)
+        self.assertIn("type", audit)
+        self.assertIn("scope", audit)
+        self.assertIn("cpu_weight", audit)
+        self.assertIn("ram_weight", audit)
--- a/dashboard/tests/test_prometheus_query.py
+++ b/dashboard/tests/test_prometheus_query.py
@@ -0,0 +1,57 @@
+"""Tests for dashboard.prometheus_utils.query."""
+
+from unittest.mock import MagicMock, patch
+
+from django.test import TestCase
+
+from dashboard.prometheus_utils.query import query_prometheus
+
+
+class QueryPrometheusTest(TestCase):
+    """Tests for query_prometheus."""
+
+    @patch("dashboard.prometheus_utils.query.requests.get")
+    def test_single_result_returns_value_string(self, mock_get):
+        mock_response = MagicMock()
+        mock_response.json.return_value = {"data": {"result": [{"value": ["1234567890", "42"]}]}}
+        mock_response.raise_for_status = MagicMock()
+        mock_get.return_value = mock_response
+
+        result = query_prometheus("some_query")
+
+        self.assertEqual(result, "42")
+        mock_response.raise_for_status.assert_called_once()
+        mock_get.assert_called_once()
+        call_kw = mock_get.call_args
+        self.assertIn("params", call_kw.kwargs)
+        self.assertEqual(call_kw.kwargs["params"]["query"], "some_query")
+
+    @patch("dashboard.prometheus_utils.query.requests.get")
+    def test_multiple_results_returns_full_result_list(self, mock_get):
+        mock_response = MagicMock()
+        result_list = [
+            {"metric": {"host": "h1"}, "value": ["1", "10"]},
+            {"metric": {"host": "h2"}, "value": ["1", "20"]},
+        ]
+        mock_response.json.return_value = {"data": {"result": result_list}}
+        mock_response.raise_for_status = MagicMock()
+        mock_get.return_value = mock_response
+
+        result = query_prometheus("vector_query")
+
+        self.assertEqual(result, result_list)
+        self.assertEqual(len(result), 2)
+
+    @patch("dashboard.prometheus_utils.query.requests.get")
+    def test_uses_prometheus_url_from_settings(self, mock_get):
+        mock_response = MagicMock()
+        mock_response.json.return_value = {"data": {"result": [{"value": ["0", "1"]}]}}
+        mock_response.raise_for_status = MagicMock()
+        mock_get.return_value = mock_response
+
+        query_prometheus("test")
+
+        mock_get.assert_called_once()
+        args, kwargs = mock_get.call_args
+        url = args[0] if args else kwargs.get("url", "")
+        self.assertIn("/api/v1/query", url)
--- a/dashboard/tests/test_views.py
+++ b/dashboard/tests/test_views.py
@@ -0,0 +1,420 @@
+"""Tests for dashboard.views."""
+
+import json
+from unittest.mock import MagicMock, patch
+
+from django.core.cache import cache
+from django.test import RequestFactory, TestCase
+
+from dashboard.views import (
+    api_audits,
+    api_source_status,
+    api_stats,
+    collect_context,
+    index,
+)
+
+
+def _minimal_render_context(region_name="test", first_flavor_name="f1", vm_count=1):
+    """Context with all keys the index.html template expects."""
+    return {
+        "region": {"name": region_name, "hosts_total": 1},
+        "pcpu": {"total": 1, "usage": 0, "free": 1, "used_percentage": 0},
+        "vcpu": {
+            "total": 2,
+            "allocated": 1,
+            "free": 1,
+            "allocated_percentage": 50,
+            "overcommit_ratio": 1,
+            "overcommit_max": 2,
+        },
+        "pram": {"total": 1024**3, "usage": 0, "free": 1024**3, "used_percentage": 0},
+        "vram": {
+            "total": 1024**3,
+            "allocated": 0,
+            "free": 1024**3,
+            "allocated_percentage": 0,
+            "overcommit_ratio": 0,
+            "overcommit_max": 1,
+        },
+        "vm": {
+            "count": vm_count,
+            "active": vm_count,
+            "stopped": 0,
+            "avg_cpu": 1,
+            "avg_ram": 0,
+            "density": float(vm_count),
+        },
+        "flavors": {
+            "first_common_flavor": {"name": first_flavor_name, "count": vm_count},
+            "second_common_flavor": {"name": "—", "count": 0},
+            "third_common_flavor": {"name": "—", "count": 0},
+        },
+        "audits": [],
+    }
+
+
+class IndexViewTest(TestCase):
+    """Tests for the index view."""
+
+    def setUp(self):
+        self.factory = RequestFactory()
+
+    @patch("dashboard.views.settings")
+    def test_index_use_mock_data_returns_200_and_mock_context(self, mock_settings):
+        mock_settings.USE_MOCK_DATA = True
+        mock_settings.DASHBOARD_CACHE_TTL = 120
+        request = self.factory.get("/")
+        response = index(request)
+        self.assertEqual(response.status_code, 200)
+        # Mock context contains mock-region and flavors; render uses index.html
+        content = response.content.decode()
+        self.assertIn("mock-region", content)
+        self.assertIn("m1.small", content)
+
+    @patch("dashboard.views.collect_context")
+    @patch("dashboard.views.settings")
+    def test_index_without_mock_returns_skeleton_and_does_not_call_collect_context(
+        self, mock_settings, mock_collect_context
+    ):
+        mock_settings.USE_MOCK_DATA = False
+        request = self.factory.get("/")
+        response = index(request)
+        self.assertEqual(response.status_code, 200)
+        mock_collect_context.assert_not_called()
+        content = response.content.decode()
+        self.assertIn('data-dashboard="skeleton"', content)
+        self.assertIn("—", content)
+
+
+class CollectContextTest(TestCase):
+    """Tests for collect_context with mocked dependencies."""
+
+    def _make_mock_connection(self, region_name="test-region"):
+        conn = MagicMock()
+        conn._compute_region = region_name
+        return conn
+
+    @patch("dashboard.views.get_current_cluster_cpu")
+    @patch("dashboard.views._fetch_prometheus_metrics")
+    @patch("dashboard.views.get_audits")
+    @patch("dashboard.views.get_flavor_list")
+    @patch("dashboard.views.get_connection")
+    def test_collect_context_structure_and_calculation(
+        self,
+        mock_get_connection,
+        mock_get_flavor_list,
+        mock_get_audits,
+        mock_fetch_metrics,
+        mock_get_current_cluster_cpu,
+    ):
+        mock_get_connection.return_value = self._make_mock_connection("my-region")
+        mock_get_current_cluster_cpu.return_value = {
+            "host_labels": ["h0", "h1"],
+            "cpu_current": [30.0, 40.0],
+        }
+        mock_get_flavor_list.return_value = {
+            "first_common_flavor": {"name": "m1.small", "count": 5},
+            "second_common_flavor": {"name": "—", "count": 0},
+            "third_common_flavor": {"name": "—", "count": 0},
+        }
+        mock_get_audits.return_value = [
+            {
+                "migrations": [],
+                "host_labels": ["h0", "h1"],
+                "cpu_current": [30.0, 40.0],
+                "cpu_projected": [35.0, 35.0],
+            }
+        ]
+        mock_fetch_metrics.return_value = {
+            "hosts_total": 2,
+            "pcpu_total": 8,
+            "pcpu_usage": 2.5,
+            "vcpu_allocated": 16,
+            "vcpu_overcommit_max": 2.0,
+            "pram_total": 32 * 1024**3,
+            "pram_usage": 8 * 1024**3,
+            "vram_allocated": 24 * 1024**3,
+            "vram_overcommit_max": 1.5,
+            "vm_count": 4,
+            "vm_active": 4,
+        }
+
+        context = collect_context()
+
+        self.assertEqual(context["region"]["name"], "my-region")
+        self.assertEqual(context["region"]["hosts_total"], 2)
+        self.assertEqual(context["pcpu"]["total"], 8)
+        self.assertEqual(context["pcpu"]["usage"], 2.5)
+        self.assertEqual(context["vcpu"]["total"], 8 * 2.0)  # pcpu_total * vcpu_overcommit_max
+        self.assertEqual(context["vcpu"]["allocated"], 16)
+        self.assertEqual(context["vram"]["total"], 32 * 1024**3 * 1.5)
+        self.assertEqual(context["flavors"]["first_common_flavor"]["name"], "m1.small")
+        self.assertEqual(len(context["audits"]), 1)
+        # Serialized for JS
+        import json
+
+        self.assertIsInstance(context["audits"][0]["migrations"], str)
+        self.assertEqual(json.loads(context["audits"][0]["host_labels"]), ["h0", "h1"])
+        self.assertIn("current_cluster", context)
+        self.assertEqual(json.loads(context["current_cluster"]["host_labels"]), ["h0", "h1"])
+        self.assertEqual(json.loads(context["current_cluster"]["cpu_current"]), [30.0, 40.0])
+
+
+class ApiStatsTest(TestCase):
+    """Tests for api_stats view."""
+
+    def setUp(self):
+        self.factory = RequestFactory()
+
+    @patch("dashboard.views._fetch_prometheus_metrics")
+    @patch("dashboard.views.get_flavor_list")
+    @patch("dashboard.views.get_connection")
+    def test_api_stats_returns_json_with_expected_keys(
+        self, mock_get_connection, mock_get_flavor_list, mock_fetch_metrics
+    ):
+        conn = MagicMock()
+        conn._compute_region = "api-region"
+        mock_get_connection.return_value = conn
+        mock_get_flavor_list.return_value = {
+            "first_common_flavor": {"name": "m1.small", "count": 3},
+            "second_common_flavor": {"name": "—", "count": 0},
+            "third_common_flavor": {"name": "—", "count": 0},
+        }
+        mock_fetch_metrics.return_value = {
+            "hosts_total": 2,
+            "pcpu_total": 4,
+            "pcpu_usage": 1.0,
+            "vcpu_allocated": 8,
+            "vcpu_overcommit_max": 2.0,
+            "pram_total": 16 * 1024**3,
+            "pram_usage": 4 * 1024**3,
+            "vram_allocated": 12 * 1024**3,
+            "vram_overcommit_max": 1.5,
+            "vm_count": 2,
+            "vm_active": 2,
+        }
+        cache.clear()
+        request = self.factory.get("/api/stats/")
+        with patch("dashboard.views.settings") as mock_settings:
+            mock_settings.DASHBOARD_CACHE_TTL = 120
+            response = api_stats(request)
+        self.assertEqual(response.status_code, 200)
+        self.assertEqual(response["Content-Type"], "application/json")
+        data = json.loads(response.content)
+        self.assertEqual(data["region"]["name"], "api-region")
+        self.assertEqual(data["region"]["hosts_total"], 2)
+        self.assertIn("pcpu", data)
+        self.assertIn("pram", data)
+        self.assertIn("vcpu", data)
+        self.assertIn("vram", data)
+        self.assertIn("vm", data)
+        self.assertIn("flavors", data)
+        self.assertEqual(data["flavors"]["first_common_flavor"]["name"], "m1.small")
+
+    @patch("dashboard.views.collect_stats")
+    @patch("dashboard.views.settings")
+    def test_api_stats_uses_cache(self, mock_settings, mock_collect_stats):
+        mock_settings.DASHBOARD_CACHE_TTL = 120
+        cached = {
+            "region": {"name": "cached", "hosts_total": 1},
+            "pcpu": {},
+            "pram": {},
+            "vcpu": {},
+            "vram": {},
+            "vm": {},
+            "flavors": {},
+        }
+        cache.clear()
+        cache.set("dashboard_stats", cached, timeout=120)
+        request = self.factory.get("/api/stats/")
+        response = api_stats(request)
+        mock_collect_stats.assert_not_called()
+        self.assertEqual(json.loads(response.content)["region"]["name"], "cached")
+
+
+class ApiAuditsTest(TestCase):
+    """Tests for api_audits view."""
+
+    def setUp(self):
+        self.factory = RequestFactory()
+
+    @patch("dashboard.views.get_current_cluster_cpu")
+    @patch("dashboard.views.get_audits")
+    @patch("dashboard.views.get_connection")
+    def test_api_audits_returns_json_audits_list(
+        self, mock_get_connection, mock_get_audits, mock_get_current_cluster_cpu
+    ):
+        mock_get_connection.return_value = MagicMock()
+        mock_get_audits.return_value = [
+            {
+                "id": "audit-1",
+                "name": "Test Audit",
+                "created_at": "2025-02-01T10:00:00",
+                "strategy": "Balanced",
+                "goal": "BALANCED",
+                "scope": "Full Cluster",
+                "cpu_weight": "1.0",
+                "ram_weight": "1.0",
+                "migrations": [
+                    {
+                        "instanceName": "i1",
+                        "source": "h0",
+                        "destination": "h1",
+                        "flavor": "m1.small",
+                        "impact": "Low",
+                    }
+                ],
+                "host_labels": ["h0", "h1"],
+                "cpu_current": [30.0, 40.0],
+                "cpu_projected": [35.0, 35.0],
+            }
+        ]
+        mock_get_current_cluster_cpu.return_value = {
+            "host_labels": ["h0", "h1"],
+            "cpu_current": [30.0, 40.0],
+        }
+        cache.clear()
+        request = self.factory.get("/api/audits/")
+        with patch("dashboard.views.settings") as mock_settings:
+            mock_settings.DASHBOARD_CACHE_TTL = 120
+            response = api_audits(request)
+        self.assertEqual(response.status_code, 200)
+        self.assertEqual(response["Content-Type"], "application/json")
+        data = json.loads(response.content)
+        self.assertIn("audits", data)
+        self.assertEqual(len(data["audits"]), 1)
+        self.assertEqual(data["audits"][0]["name"], "Test Audit")
+        self.assertIsInstance(data["audits"][0]["migrations"], str)
+        self.assertIsInstance(data["audits"][0]["host_labels"], str)
+        self.assertIn("current_cluster", data)
+        self.assertEqual(data["current_cluster"]["host_labels"], ["h0", "h1"])
+        self.assertEqual(data["current_cluster"]["cpu_current"], [30.0, 40.0])
+
+    @patch("dashboard.views.get_current_cluster_cpu")
+    @patch("dashboard.views.collect_audits")
+    @patch("dashboard.views.settings")
+    def test_api_audits_uses_cache(
+        self, mock_settings, mock_collect_audits, mock_get_current_cluster_cpu
+    ):
+        mock_settings.DASHBOARD_CACHE_TTL = 120
+        cached_audits = [
+            {
+                "id": "cached-1",
+                "name": "Cached Audit",
+                "migrations": "[]",
+                "host_labels": "[]",
+                "cpu_current": "[]",
+                "cpu_projected": "[]",
+            }
+        ]
+        cached_cluster = {"host_labels": ["cached-h0"], "cpu_current": [10.0]}
+        cache.clear()
+        cache.set("dashboard_audits", cached_audits, timeout=120)
+        cache.set("dashboard_current_cluster", cached_cluster, timeout=120)
+        request = self.factory.get("/api/audits/")
+        response = api_audits(request)
+        mock_collect_audits.assert_not_called()
+        mock_get_current_cluster_cpu.assert_not_called()
+        data = json.loads(response.content)
+        self.assertEqual(data["audits"][0]["name"], "Cached Audit")
+        self.assertEqual(data["current_cluster"], cached_cluster)
+
+
+class ApiSourceStatusTest(TestCase):
+    """Tests for api_source_status view."""
+
+    def setUp(self):
+        self.factory = RequestFactory()
+
+    @patch("dashboard.views.settings")
+    def test_api_source_status_mock_returns_mock_status(self, mock_settings):
+        mock_settings.USE_MOCK_DATA = True
+        mock_settings.SOURCE_STATUS_CACHE_TTL = 30
+        request = self.factory.get("/api/source-status/")
+        response = api_source_status(request)
+        self.assertEqual(response.status_code, 200)
+        self.assertEqual(response["Content-Type"], "application/json")
+        data = json.loads(response.content)
+        self.assertEqual(data["prometheus"]["status"], "mock")
+        self.assertEqual(data["openstack"]["status"], "mock")
+
+    @patch("dashboard.views.check_openstack")
+    @patch("dashboard.views.check_prometheus")
+    @patch("dashboard.views.settings")
+    def test_api_source_status_both_ok_returns_ok(
+        self, mock_settings, mock_check_prometheus, mock_check_openstack
+    ):
+        mock_settings.USE_MOCK_DATA = False
+        mock_settings.SOURCE_STATUS_CACHE_TTL = 30
+        mock_check_prometheus.return_value = {"status": "ok"}
+        mock_check_openstack.return_value = {"status": "ok"}
+        cache.clear()
+        request = self.factory.get("/api/source-status/")
+        response = api_source_status(request)
+        self.assertEqual(response.status_code, 200)
+        data = json.loads(response.content)
+        self.assertEqual(data["prometheus"]["status"], "ok")
+        self.assertEqual(data["openstack"]["status"], "ok")
+        mock_check_prometheus.assert_called_once()
+        mock_check_openstack.assert_called_once()
+
+    @patch("dashboard.views.check_openstack")
+    @patch("dashboard.views.check_prometheus")
+    @patch("dashboard.views.settings")
+    def test_api_source_status_prometheus_error_returns_error_message(
+        self, mock_settings, mock_check_prometheus, mock_check_openstack
+    ):
+        mock_settings.USE_MOCK_DATA = False
+        mock_settings.SOURCE_STATUS_CACHE_TTL = 30
+        mock_check_prometheus.return_value = {"status": "error", "message": "Connection refused"}
+        mock_check_openstack.return_value = {"status": "ok"}
+        cache.clear()
+        request = self.factory.get("/api/source-status/")
+        response = api_source_status(request)
+        self.assertEqual(response.status_code, 200)
+        data = json.loads(response.content)
+        self.assertEqual(data["prometheus"]["status"], "error")
+        self.assertEqual(data["prometheus"]["message"], "Connection refused")
+        self.assertEqual(data["openstack"]["status"], "ok")
+
+    @patch("dashboard.views.check_openstack")
+    @patch("dashboard.views.check_prometheus")
+    @patch("dashboard.views.settings")
+    def test_api_source_status_openstack_error_returns_error_message(
+        self, mock_settings, mock_check_prometheus, mock_check_openstack
+    ):
+        mock_settings.USE_MOCK_DATA = False
+        mock_settings.SOURCE_STATUS_CACHE_TTL = 30
+        mock_check_prometheus.return_value = {"status": "ok"}
+        mock_check_openstack.return_value = {"status": "error", "message": "Auth failed"}
+        cache.clear()
+        request = self.factory.get("/api/source-status/")
+        response = api_source_status(request)
+        self.assertEqual(response.status_code, 200)
+        data = json.loads(response.content)
+        self.assertEqual(data["prometheus"]["status"], "ok")
+        self.assertEqual(data["openstack"]["status"], "error")
+        self.assertEqual(data["openstack"]["message"], "Auth failed")
+
+    @patch("dashboard.views.check_openstack")
+    @patch("dashboard.views.check_prometheus")
+    @patch("dashboard.views.settings")
+    def test_api_source_status_uses_cache(
+        self, mock_settings, mock_check_prometheus, mock_check_openstack
+    ):
+        mock_settings.USE_MOCK_DATA = False
+        mock_settings.SOURCE_STATUS_CACHE_TTL = 30
+        cache.clear()
+        cached = {
+            "prometheus": {"status": "ok"},
+            "openstack": {"status": "ok"},
+        }
+        cache.set("dashboard_source_status", cached, timeout=30)
+        request = self.factory.get("/api/source-status/")
+        response = api_source_status(request)
+        mock_check_prometheus.assert_not_called()
+        mock_check_openstack.assert_not_called()
+        data = json.loads(response.content)
+        self.assertEqual(data["prometheus"]["status"], "ok")
+        self.assertEqual(data["openstack"]["status"], "ok")
--- a/dashboard/urls.py
+++ b/dashboard/urls.py
@@ -1,6 +1,10 @@
 from django.urls import path
+
 from . import views

 urlpatterns = [
-    path('', views.index, name='index'),
+    path("", views.index, name="index"),
+    path("api/stats/", views.api_stats),
+    path("api/audits/", views.api_audits),
+    path("api/source-status/", views.api_source_status),
 ]
--- a/dashboard/views.py
+++ b/dashboard/views.py
@@ -1,71 +1,82 @@
 import json
+from concurrent.futures import ThreadPoolExecutor, as_completed

+from django.conf import settings
+from django.core.cache import cache
+from django.http import JsonResponse
 from django.shortcuts import render
-from dashboard.openstack_utils.connect import get_connection
+
+from dashboard.mock_data import get_mock_context
+from dashboard.openstack_utils.audits import get_audits, get_current_cluster_cpu
+from dashboard.openstack_utils.connect import check_openstack, get_connection
 from dashboard.openstack_utils.flavor import get_flavor_list
-from dashboard.prometheus_utils.query import query_prometheus
-from dashboard.openstack_utils.audits import get_audits
+from dashboard.prometheus_utils.query import check_prometheus, query_prometheus
+
+# Prometheus queries run in parallel (query_key -> query string)
+_PROMETHEUS_QUERIES = {
+    "hosts_total": "count(node_exporter_build_info{job='node_exporter_compute'})",
+    "pcpu_total": (
+        "sum(count(node_cpu_seconds_total{job='node_exporter_compute', mode='idle'}) "
+        "without (cpu,mode))"
+    ),
+    "pcpu_usage": "sum(node_load5{job='node_exporter_compute'})",
+    "vcpu_allocated": "sum(libvirt_domain_info_virtual_cpus)",
+    "vcpu_overcommit_max": (
+        "avg(openstack_placement_resource_allocation_ratio{resourcetype='VCPU'})"
+    ),
+    "pram_total": "sum(node_memory_MemTotal_bytes{job='node_exporter_compute'})",
+    "pram_usage": "sum(node_memory_Active_bytes{job='node_exporter_compute'})",
+    "vram_allocated": "sum(libvirt_domain_info_maximum_memory_bytes)",
+    "vram_overcommit_max": (
+        "avg(avg_over_time("
+        "openstack_placement_resource_allocation_ratio{resourcetype='MEMORY_MB'}[5m]))"
+    ),
+    "vm_count": "sum(libvirt_domain_state_code)",
+    "vm_active": "sum(libvirt_domain_state_code{stateDesc='the domain is running'})",
+}
+
+
+def _fetch_prometheus_metrics():
+    """Run all Prometheus queries in parallel and return a dict of name -> value."""
+    result = {}
+    with ThreadPoolExecutor(max_workers=len(_PROMETHEUS_QUERIES)) as executor:
+        future_to_key = {
+            executor.submit(query_prometheus, query=q): key
+            for key, q in _PROMETHEUS_QUERIES.items()
+        }
+        for future in as_completed(future_to_key):
+            key = future_to_key[future]
+            try:
+                raw = future.result()
+                if key in ("pcpu_usage", "vcpu_overcommit_max", "vram_overcommit_max"):
+                    result[key] = float(raw)
+                else:
+                    result[key] = int(raw)
+            except (ValueError, TypeError):
+                result[key] = (
+                    0 if key in ("pcpu_usage", "vcpu_overcommit_max", "vram_overcommit_max") else 0
+                )
+    return result
+

 def collect_context():
    connection = get_connection()
    region_name = connection._compute_region
    flavors = get_flavor_list(connection=connection)
    audits = get_audits(connection=connection)
-    hosts_total = int(
-        query_prometheus(
-            query="count(node_exporter_build_info{job='node_exporter_compute'})"
-        )
-    )
-    pcpu_total = int(
-        query_prometheus(
-            query="sum(count(node_cpu_seconds_total{job='node_exporter_compute', mode='idle'}) without (cpu,mode))"
-        )
-    )
-    pcpu_usage = float(
-        query_prometheus(
-            query="sum(node_load5{job='node_exporter_compute'})"
-        )
-    )
-    vcpu_allocated = int(
-        query_prometheus(
-            query="sum(libvirt_domain_info_virtual_cpus)"
-        )
-    )
-    vcpu_overcommit_max = float(
-        query_prometheus(
-            query="avg(openstack_placement_resource_allocation_ratio{resourcetype='VCPU'})"
-        )
-    )
-    pram_total = int(
-        query_prometheus(
-            query="sum(node_memory_MemTotal_bytes{job='node_exporter_compute'})" # memory in bytes
-        )
-    )
-    pram_usage = int (
-        query_prometheus(
-            query="sum(node_memory_Active_bytes{job='node_exporter_compute'})"
-        )
-    )
-    vram_allocated = int(
-        query_prometheus(
-            query="sum(libvirt_domain_info_maximum_memory_bytes)"
-        )
-    )
-    vram_overcommit_max = float(
-        query_prometheus(
-            query="avg(avg_over_time(openstack_placement_resource_allocation_ratio{resourcetype='MEMORY_MB'}[5m]))"
-        )
-    )
-    vm_count = int(
-        query_prometheus(
-            query="sum(libvirt_domain_state_code)"
-        )
-    )
-    vm_active = int(
-        query_prometheus(
-            query="sum(libvirt_domain_state_code{stateDesc='the domain is running'})"
-        )
-    )
+
+    metrics = _fetch_prometheus_metrics()
+    hosts_total = metrics.get("hosts_total") or 1
+    pcpu_total = metrics.get("pcpu_total", 0)
+    pcpu_usage = metrics.get("pcpu_usage", 0)
+    vcpu_allocated = metrics.get("vcpu_allocated", 0)
+    vcpu_overcommit_max = metrics.get("vcpu_overcommit_max", 0)
+    pram_total = metrics.get("pram_total", 0)
+    pram_usage = metrics.get("pram_usage", 0)
+    vram_allocated = metrics.get("vram_allocated", 0)
+    vram_overcommit_max = metrics.get("vram_overcommit_max", 0)
+    vm_count = metrics.get("vm_count", 0)
+    vm_active = metrics.get("vm_active", 0)

    vcpu_total = pcpu_total * vcpu_overcommit_max
    vram_total = pram_total * vram_overcommit_max
@@ -74,7 +85,7 @@ def collect_context():
        # <--- Region data --->
        "region": {
            "name": region_name,
-            "hosts_total": 6,
+            "hosts_total": hosts_total,
        },
        # <--- CPU data --->
        # pCPU data
@@ -82,15 +93,15 @@ def collect_context():
            "total": pcpu_total,
            "usage": pcpu_usage,
            "free": pcpu_total - pcpu_usage,
-            "used_percentage": pcpu_usage / pcpu_total * 100,
+            "used_percentage": (pcpu_usage / pcpu_total * 100) if pcpu_total else 0,
        },
        # vCPU data
        "vcpu": {
            "total": vcpu_total,
            "allocated": vcpu_allocated,
            "free": vcpu_total - vcpu_allocated,
-            "allocated_percentage": vcpu_allocated / vcpu_total * 100,
-            "overcommit_ratio": vcpu_allocated / pcpu_total,
+            "allocated_percentage": (vcpu_allocated / vcpu_total * 100) if vcpu_total else 0,
+            "overcommit_ratio": (vcpu_allocated / pcpu_total) if pcpu_total else 0,
            "overcommit_max": vcpu_overcommit_max,
        },
        # <--- RAM data --->
@@ -99,15 +110,15 @@ def collect_context():
            "total": pram_total,
            "usage": pram_usage,
            "free": pram_total - pram_usage,
-            "used_percentage": pram_usage / pram_total * 100,
+            "used_percentage": (pram_usage / pram_total * 100) if pram_total else 0,
        },
        # vRAM data
        "vram": {
            "total": vram_total,
            "allocated": vram_allocated,
            "free": vram_total - vram_allocated,
-            "allocated_percentage": vram_allocated / vram_total * 100,
-            "overcommit_ratio": vram_allocated / pram_total,
+            "allocated_percentage": (vram_allocated / vram_total * 100) if vram_total else 0,
+            "overcommit_ratio": (vram_allocated / pram_total) if pram_total else 0,
            "overcommit_max": vram_overcommit_max,
        },
        # <--- VM data --->
@@ -115,218 +126,189 @@ def collect_context():
            "count": vm_count,
            "active": vm_active,
            "stopped": vm_count - vm_active,
-            "avg_cpu": vcpu_allocated / vm_count,
-            "avg_ram": vram_allocated / vm_count,
-            "density": vm_count / hosts_total,
+            "avg_cpu": vcpu_allocated / vm_count if vm_count else 0,
+            "avg_ram": vram_allocated / vm_count if vm_count else 0,
+            "density": vm_count / hosts_total if hosts_total else 0,
        },
        "flavors": flavors,
        "audits": audits,
    }
+    current_cluster = get_current_cluster_cpu(connection)
+    context["current_cluster"] = {
+        "host_labels": json.dumps(current_cluster["host_labels"]),
+        "cpu_current": json.dumps(current_cluster["cpu_current"]),
+    }
+    # Serialize audit list fields for JavaScript so cached context is render-ready
+    for audit in context["audits"]:
+        audit["migrations"] = json.dumps(audit["migrations"])
+        audit["host_labels"] = json.dumps(audit["host_labels"])
+        audit["cpu_current"] = json.dumps(audit["cpu_current"])
+        audit["cpu_projected"] = json.dumps(audit["cpu_projected"])
    return context

-def index(request):
-    hosts_total = 6
-    pcpu_total = 672
-    pcpu_usage = 39.2
-    vcpu_total = 3360
-    vcpu_allocated = 98
-    vcpu_overcommit_max = 5
-    pram_total = 562500000000
-    pram_usage = 4325000000
-    vram_total = 489375000000
-    vram_allocated = 5625000000
-    vram_overcommit_max = 0.87
-    vm_count = 120
-    vm_active = 90
-    context = {
-        # <--- Region data --->
-        "region": {
-            "name": "ct3k1ldt",
-            "hosts_total": 6,
-        },
-        # <--- CPU data --->
-        # pCPU data
+
+def collect_stats():
+    """Build stats dict: region, pcpu, pram, vcpu, vram, vm, flavors (no audits)."""
+    connection = get_connection()
+    region_name = connection._compute_region
+    flavors = get_flavor_list(connection=connection)
+    metrics = _fetch_prometheus_metrics()
+    hosts_total = metrics.get("hosts_total") or 1
+    pcpu_total = metrics.get("pcpu_total", 0)
+    pcpu_usage = metrics.get("pcpu_usage", 0)
+    vcpu_allocated = metrics.get("vcpu_allocated", 0)
+    vcpu_overcommit_max = metrics.get("vcpu_overcommit_max", 0)
+    pram_total = metrics.get("pram_total", 0)
+    pram_usage = metrics.get("pram_usage", 0)
+    vram_allocated = metrics.get("vram_allocated", 0)
+    vram_overcommit_max = metrics.get("vram_overcommit_max", 0)
+    vm_count = metrics.get("vm_count", 0)
+    vm_active = metrics.get("vm_active", 0)
+    vcpu_total = pcpu_total * vcpu_overcommit_max
+    vram_total = pram_total * vram_overcommit_max
+    return {
+        "region": {"name": region_name, "hosts_total": hosts_total},
        "pcpu": {
            "total": pcpu_total,
            "usage": pcpu_usage,
            "free": pcpu_total - pcpu_usage,
-            "used_percentage": pcpu_usage / pcpu_total * 100,
+            "used_percentage": (pcpu_usage / pcpu_total * 100) if pcpu_total else 0,
        },
-        # vCPU data
        "vcpu": {
            "total": vcpu_total,
            "allocated": vcpu_allocated,
            "free": vcpu_total - vcpu_allocated,
-            "allocated_percentage": vcpu_allocated / vcpu_total * 100,
-            "overcommit_ratio": vcpu_allocated / pcpu_total,
+            "allocated_percentage": (vcpu_allocated / vcpu_total * 100) if vcpu_total else 0,
+            "overcommit_ratio": (vcpu_allocated / pcpu_total) if pcpu_total else 0,
            "overcommit_max": vcpu_overcommit_max,
        },
-        # <--- RAM data --->
-        # pRAM data
        "pram": {
            "total": pram_total,
            "usage": pram_usage,
            "free": pram_total - pram_usage,
-            "used_percentage": pram_usage / pram_total * 100,
+            "used_percentage": (pram_usage / pram_total * 100) if pram_total else 0,
        },
-        # vRAM data
        "vram": {
            "total": vram_total,
            "allocated": vram_allocated,
            "free": vram_total - vram_allocated,
-            "allocated_percentage": vram_allocated / vram_total * 100,
-            "overcommit_ratio": vram_allocated / pram_total,
+            "allocated_percentage": (vram_allocated / vram_total * 100) if vram_total else 0,
+            "overcommit_ratio": (vram_allocated / pram_total) if pram_total else 0,
            "overcommit_max": vram_overcommit_max,
        },
-        # <--- VM data --->
        "vm": {
            "count": vm_count,
            "active": vm_active,
            "stopped": vm_count - vm_active,
-            "avg_cpu": vcpu_allocated / vm_count,
-            "avg_ram": vram_allocated / vm_count,
-            "density": vm_count / hosts_total,
+            "avg_cpu": vcpu_allocated / vm_count if vm_count else 0,
+            "avg_ram": vram_allocated / vm_count if vm_count else 0,
+            "density": vm_count / hosts_total if hosts_total else 0,
        },
-        "flavors": {
-            'first_common_flavor': {
-                'name': 'm1.medium',
-                'count': 18
-            },
-            'second_common_flavor': {
-                'name': 'm1.small',
-                'count': 12
-            },
-            'third_common_flavor': {
-                'name': 'm1.large',
-                'count': 8
-            },
-        },
-        
-        # Audit data
-        'audits': [
-            {
-                'id': 'audit_001',
-                'name': 'Weekly Optimization',
-                'created_at': '2024-01-15',
-                'cpu_weight': 1.2,
-                'ram_weight': 0.6,
-                'scope': 'Full Cluster',
-                'strategy': 'Load Balancing',
-                'goal': 'Optimize CPU distribution across all hosts',
-                'migrations': [
-                    {
-                        'instanceName': 'web-server-01',
-                        'source': 'compute-02',
-                        'destination': 'compute-05',
-                        'flavor': 'm1.medium',
-                        'impact': 'Low'
-                    },
-                    {
-                        'instanceName': 'db-replica-03',
-                        'source': 'compute-01',
-                        'destination': 'compute-04',
-                        'flavor': 'm1.large',
-                        'impact': 'Medium'
-                    },
-                    {
-                        'instanceName': 'api-gateway',
-                        'source': 'compute-03',
-                        'destination': 'compute-06',
-                        'flavor': 'm1.small',
-                        'impact': 'Low'
-                    },
-                    {
-                        'instanceName': 'cache-node-02',
-                        'source': 'compute-01',
-                        'destination': 'compute-07',
-                        'flavor': 'm1.small',
-                        'impact': 'Low'
-                    },
-                    {
-                        'instanceName': 'monitoring-server',
-                        'source': 'compute-04',
-                        'destination': 'compute-02',
-                        'flavor': 'm1.medium',
-                        'impact': 'Low'
-                    }
-                ],
-                'host_labels': ['compute-01', 'compute-02', 'compute-03', 'compute-04', 'compute-05', 'compute-06', 'compute-07'],
-                'cpu_current': [78, 65, 42, 89, 34, 56, 71],
-                'cpu_projected': [65, 58, 45, 72, 48, 61, 68]
-            },
-            {
-                'id': 'audit_002',
-                'name': 'Emergency Rebalance',
-                'created_at': '2024-01-14',
-                'cpu_weight': 1.0,
-                'ram_weight': 1.0,
-                'scope': 'Overloaded Hosts',
-                'strategy': 'Hotspot Reduction',
-                'goal': 'Reduce load on compute-01 and compute-04',
-                'migrations': [
-                    {
-                        'instanceName': 'app-server-02',
-                        'source': 'compute-01',
-                        'destination': 'compute-06',
-                        'flavor': 'm1.medium',
-                        'impact': 'Medium'
-                    },
-                    {
-                        'instanceName': 'file-server-01',
-                        'source': 'compute-04',
-                        'destination': 'compute-07',
-                        'flavor': 'm1.large',
-                        'impact': 'High'
-                    }
-                ],
-                'host_labels': ['compute-01', 'compute-02', 'compute-03', 'compute-04', 'compute-05', 'compute-06', 'compute-07'],
-                'cpu_current': [92, 65, 42, 85, 34, 56, 71],
-                'cpu_projected': [72, 65, 42, 65, 34, 66, 81]
-            },
-            {
-                'id': 'audit_003',
-                'name': 'Pre-Maintenance Planning',
-                'created_at': '2024-01-10',
-                'cpu_weight': 0.8,
-                'ram_weight': 1.5,
-                'scope': 'Maintenance Zone',
-                'strategy': 'Evacuation',
-                'goal': 'Empty compute-03 for maintenance',
-                'migrations': [
-                    {
-                        'instanceName': 'test-vm-01',
-                        'source': 'compute-03',
-                        'destination': 'compute-02',
-                        'flavor': 'm1.small',
-                        'impact': 'Low'
-                    },
-                    {
-                        'instanceName': 'dev-server',
-                        'source': 'compute-03',
-                        'destination': 'compute-05',
-                        'flavor': 'm1.medium',
-                        'impact': 'Low'
-                    },
-                    {
-                        'instanceName': 'staging-db',
-                        'source': 'compute-03',
-                        'destination': 'compute-07',
-                        'flavor': 'm1.large',
-                        'impact': 'High'
-                    }
-                ],
-                'host_labels': ['compute-01', 'compute-02', 'compute-03', 'compute-04', 'compute-05', 'compute-06', 'compute-07'],
-                'cpu_current': [78, 65, 56, 89, 34, 56, 71],
-                'cpu_projected': [78, 75, 0, 89, 54, 56, 81]
-            }
-        ]
+        "flavors": flavors,
    }

-    # Serialize lists for JavaScript
-    for audit in context['audits']:
-        audit['migrations']     = json.dumps(audit['migrations'])
-        audit['host_labels']    = json.dumps(audit['host_labels'])
-        audit['cpu_current']    = json.dumps(audit['cpu_current'])
-        audit['cpu_projected']  = json.dumps(audit['cpu_projected'])

-    return render(request, 'index.html', context)
+def collect_audits():
+    """Build audits list with serialized fields for frontend."""
+    connection = get_connection()
+    audits = get_audits(connection=connection)
+    for audit in audits:
+        audit["migrations"] = json.dumps(audit["migrations"])
+        audit["host_labels"] = json.dumps(audit["host_labels"])
+        audit["cpu_current"] = json.dumps(audit["cpu_current"])
+        audit["cpu_projected"] = json.dumps(audit["cpu_projected"])
+    return audits
+
+
+def _skeleton_context():
+    """Minimal context for skeleton-only index render."""
+    empty_flavors = {
+        "first_common_flavor": {"name": "—", "count": 0},
+        "second_common_flavor": None,
+        "third_common_flavor": None,
+    }
+    return {
+        "skeleton": True,
+        "region": {"name": "—", "hosts_total": 0},
+        "pcpu": {"total": 0, "usage": 0, "free": 0, "used_percentage": 0},
+        "pram": {"total": 0, "usage": 0, "free": 0, "used_percentage": 0},
+        "vcpu": {
+            "total": 0,
+            "allocated": 0,
+            "free": 0,
+            "allocated_percentage": 0,
+            "overcommit_ratio": 0,
+            "overcommit_max": 0,
+        },
+        "vram": {
+            "total": 0,
+            "allocated": 0,
+            "free": 0,
+            "allocated_percentage": 0,
+            "overcommit_ratio": 0,
+            "overcommit_max": 0,
+        },
+        "vm": {"count": 0, "active": 0, "stopped": 0, "avg_cpu": 0, "avg_ram": 0, "density": 0},
+        "flavors": empty_flavors,
+        "audits": [],
+        "current_cluster": {
+            "host_labels": "[]",
+            "cpu_current": "[]",
+        },
+    }
+
+
+def index(request):
+    if getattr(settings, "USE_MOCK_DATA", False):
+        context = get_mock_context()
+        return render(request, "index.html", context)
+    context = _skeleton_context()
+    return render(request, "index.html", context)
+
+
+def api_stats(request):
+    cache_key = "dashboard_stats"
+    cache_ttl = getattr(settings, "DASHBOARD_CACHE_TTL", 120)
+    data = cache.get(cache_key)
+    if data is None:
+        data = collect_stats()
+        cache.set(cache_key, data, timeout=cache_ttl)
+    return JsonResponse(data)
+
+
+def api_audits(request):
+    cache_key_audits = "dashboard_audits"
+    cache_key_cluster = "dashboard_current_cluster"
+    cache_ttl = getattr(settings, "DASHBOARD_CACHE_TTL", 120)
+    audits = cache.get(cache_key_audits)
+    current_cluster = cache.get(cache_key_cluster)
+    if audits is None:
+        audits = collect_audits()
+        cache.set(cache_key_audits, audits, timeout=cache_ttl)
+    if current_cluster is None:
+        connection = get_connection()
+        current_cluster = get_current_cluster_cpu(connection)
+        cache.set(cache_key_cluster, current_cluster, timeout=cache_ttl)
+    return JsonResponse({"audits": audits, "current_cluster": current_cluster})
+
+
+def api_source_status(request):
+    """Return status of Prometheus and OpenStack data sources (ok / error / mock)."""
+    if getattr(settings, "USE_MOCK_DATA", False):
+        return JsonResponse(
+            {
+                "prometheus": {"status": "mock"},
+                "openstack": {"status": "mock"},
+            }
+        )
+
+    cache_key = "dashboard_source_status"
+    cache_ttl = getattr(settings, "SOURCE_STATUS_CACHE_TTL", 30)
+    data = cache.get(cache_key)
+    if data is None:
+        data = {
+            "prometheus": check_prometheus(),
+            "openstack": check_openstack(),
+        }
+        cache.set(cache_key, data, timeout=cache_ttl)
+    return JsonResponse(data)
--- a/docker-compose.dev.yml
+++ b/docker-compose.dev.yml
@@ -0,0 +1,22 @@
+# Development override: use with
+#   docker compose -f docker-compose.yml -f docker-compose.dev.yml up --build
+#
+# Uses mock data (no OpenStack/Prometheus), mounts code for live reload.
+
+services:
+  watcher-visio:
+    build:
+      context: .
+      dockerfile: Dockerfile
+    volumes:
+      - .:/app
+    environment:
+      - USE_MOCK_DATA=true
+      - DEBUG=true
+      - PYTHONUNBUFFERED=1
+    ports:
+      - "8080:8080"
+    # Optional: skip entrypoint migrations on every start for faster restart
+    # command: ["python3", "manage.py", "runserver", "0.0.0.0:8080"]
+    stdin_open: true
+    tty: true
--- a/docker-compose.yml
+++ b/docker-compose.yml
@@ -1,8 +1,24 @@
+# Base compose: production-like run.
+# For development with mock data and live reload use:
+#   docker compose -f docker-compose.yml -f docker-compose.dev.yml up --build
+
 services:
  watcher-visio:
-    build: .
+    image: watcher-visio:latest
+    build:
+      context: .
+      dockerfile: Dockerfile
+    container_name: watcher-visio
    ports:
-      - "8000:8000"
-    volumes:
-      - ./:/app
+      - "8080:8080"
+    environment:
+      - PYTHONUNBUFFERED=1
+      # Override via environment or env_file (e.g. env_file: .env):
+      # PROMETHEUS_URL, OPENSTACK_CLOUD, OPENSTACK_REGION_NAME, SECRET_KEY
+    healthcheck:
+      test: ["CMD", "curl", "-f", "http://127.0.0.1:8080/"]
+      interval: 30s
+      timeout: 10s
+      retries: 3
+      start_period: 15s
    restart: unless-stopped
--- a/docker-entrypoint.sh
+++ b/docker-entrypoint.sh
@@ -1,12 +1,8 @@
 #!/bin/sh
-
 set -e

 echo "Applying database migrations..."
-python manage.py migrate --noinput
-
-echo "Collecting static files..."
-python manage.py collectstatic --noinput
+python3 manage.py migrate --noinput

 echo "Starting Django application..."
 exec "$@"
--- a/manage.py
+++ b/manage.py
@@ -1,12 +1,13 @@
 #!/usr/bin/env python
 """Django's command-line utility for administrative tasks."""
+
 import os
 import sys


 def main():
    """Run administrative tasks."""
-    os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'watcher_visio.settings')
+    os.environ.setdefault("DJANGO_SETTINGS_MODULE", "watcher_visio.settings")
    try:
        from django.core.management import execute_from_command_line
    except ImportError as exc:
@@ -18,5 +19,5 @@ def main():
    execute_from_command_line(sys.argv)


-if __name__ == '__main__':
+if __name__ == "__main__":
    main()
--- a/package-lock.json
+++ b/package-lock.json
@@ -12,6 +12,7 @@
        "@tailwindcss/cli": "^4.1.17"
      },
      "devDependencies": {
+        "@fontsource/dm-sans": "^5.2.8",
        "@tailwindcss/typography": "^0.5.19",
        "autoprefixer": "^10.4.22",
        "daisyui": "^5.5.5",
@@ -19,6 +20,15 @@
        "tailwindcss": "^4.1.17"
      }
    },
+    "node_modules/@fontsource/dm-sans": {
+      "version": "5.2.8",
+      "resolved": "https://registry.npmjs.org/@fontsource/dm-sans/-/dm-sans-5.2.8.tgz",
+      "integrity": "sha512-tlovG42m9ESG28WiHpLq3F5umAlm64rv0RkqTbYowRn70e9OlRr5a3yTJhrhrY+k5lftR/OFJjPzOLQzk8EfCA==",
+      "dev": true,
+      "funding": {
+        "url": "https://github.com/sponsors/ayuhito"
+      }
+    },
    "node_modules/@jridgewell/gen-mapping": {
      "version": "0.3.13",
      "resolved": "https://registry.npmjs.org/@jridgewell/gen-mapping/-/gen-mapping-0.3.13.tgz",
@@ -713,7 +723,6 @@
        }
      ],
      "license": "MIT",
-      "peer": true,
      "dependencies": {
        "baseline-browser-mapping": "^2.8.25",
        "caniuse-lite": "^1.0.30001754",
@@ -1254,7 +1263,6 @@
        }
      ],
      "license": "MIT",
-      "peer": true,
      "dependencies": {
        "nanoid": "^3.3.11",
        "picocolors": "^1.1.1",
@@ -1298,8 +1306,7 @@
      "version": "4.1.17",
      "resolved": "https://registry.npmjs.org/tailwindcss/-/tailwindcss-4.1.17.tgz",
      "integrity": "sha512-j9Ee2YjuQqYT9bbRTfTZht9W/ytp5H+jJpZKiYdP/bpnXARAuELt9ofP0lPnmHjbga7SNQIxdTAXCmtKVYjN+Q==",
-      "license": "MIT",
-      "peer": true
+      "license": "MIT"
    },
    "node_modules/tapable": {
      "version": "2.3.0",
--- a/package.json
+++ b/package.json
@@ -16,6 +16,7 @@
  "license": "ISC",
  "type": "commonjs",
  "devDependencies": {
+    "@fontsource/dm-sans": "^5.2.8",
    "@tailwindcss/typography": "^0.5.19",
    "autoprefixer": "^10.4.22",
    "daisyui": "^5.5.5",
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -0,0 +1,15 @@
+[project]
+name = "watcher-visio"
+version = "0.1.0"
+description = "Watcher Visio dashboard"
+readme = "README.md"
+requires-python = ">=3.12"
+
+[tool.ruff]
+line-length = 100
+target-version = "py312"
+src = ["dashboard", "watcher_visio"]
+
+[tool.ruff.lint]
+select = ["E", "F", "I", "N", "W"]
+ignore = []
--- a/static/css/main.css
+++ b/static/css/main.css
@@ -1,21 +1,83 @@
+/* DM Sans – local webfonts (no external requests) */
+@font-face {
+  font-family: 'DM Sans';
+  font-style: normal;
+  font-display: swap;
+  font-weight: 400;
+  src: url('../fonts/dm-sans-latin-400-normal.woff2') format('woff2');
+}
+@font-face {
+  font-family: 'DM Sans';
+  font-style: normal;
+  font-display: swap;
+  font-weight: 500;
+  src: url('../fonts/dm-sans-latin-500-normal.woff2') format('woff2');
+}
+@font-face {
+  font-family: 'DM Sans';
+  font-style: normal;
+  font-display: swap;
+  font-weight: 600;
+  src: url('../fonts/dm-sans-latin-600-normal.woff2') format('woff2');
+}
+@font-face {
+  font-family: 'DM Sans';
+  font-style: normal;
+  font-display: swap;
+  font-weight: 700;
+  src: url('../fonts/dm-sans-latin-700-normal.woff2') format('woff2');
+}
+@font-face {
+  font-family: 'DM Sans';
+  font-style: italic;
+  font-display: swap;
+  font-weight: 400;
+  src: url('../fonts/dm-sans-latin-400-italic.woff2') format('woff2');
+}
+@font-face {
+  font-family: 'DM Sans';
+  font-style: italic;
+  font-display: swap;
+  font-weight: 500;
+  src: url('../fonts/dm-sans-latin-500-italic.woff2') format('woff2');
+}
+@font-face {
+  font-family: 'DM Sans';
+  font-style: italic;
+  font-display: swap;
+  font-weight: 600;
+  src: url('../fonts/dm-sans-latin-600-italic.woff2') format('woff2');
+}
+@font-face {
+  font-family: 'DM Sans';
+  font-style: italic;
+  font-display: swap;
+  font-weight: 700;
+  src: url('../fonts/dm-sans-latin-700-italic.woff2') format('woff2');
+}
+
@import "tailwindcss";
@plugin "daisyui";

+@theme {
+  --font-sans: "DM Sans", ui-sans-serif, system-ui, sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol", "Noto Color Emoji";
+}
+
@plugin "daisyui/theme" {
  name: "light";
  default: true;
  prefersdark: false;
  color-scheme: "light";
-  --color-base-100: oklch(100% 0 0);
-  --color-base-200: oklch(98% 0 0);
-  --color-base-300: oklch(95% 0 0);
-  --color-base-content: oklch(21% 0.006 285.885);
-  --color-primary: #09418E;
-  --color-primary-content: oklch(93% 0.034 272.788);
-  --color-secondary: #428BCA;
-  --color-secondary-content: oklch(100% 0 0);
-  --color-accent: #A492FF;
-  --color-accent-content: oklch(21% 0.006 285.885);
+  --color-base-100: oklch(100% 0.004 260);
+  --color-base-200: oklch(98% 0.004 260);
+  --color-base-300: oklch(95% 0.004 260);
+  --color-base-content: oklch(22% 0.02 260);
+  --color-primary: #0a2973;
+  --color-primary-content: #ffffff;
+  --color-secondary: #009fdf;
+  --color-secondary-content: #ffffff;
+  --color-accent: #009fdf;
+  --color-accent-content: #ffffff;
  --color-neutral: #333333;
  --color-neutral-content: oklch(92% 0.004 286.32);
  --color-info: oklch(74% 0.16 232.661);
@@ -34,6 +96,170 @@
  --border: 1px;
  --depth: 1;
  --noise: 0;
+  --chart-grid-color: color-mix(in oklch, var(--color-base-content) 22%, transparent);
+}
+
+@plugin "daisyui/theme" {
+  name: "dark";
+  default: false;
+  prefersdark: true;
+  color-scheme: "dark";
+  --color-base-100: oklch(22% 0.014 260);
+  --color-base-200: oklch(19% 0.012 260);
+  --color-base-300: oklch(16% 0.01 260);
+  --color-base-content: oklch(96% 0.01 260);
+  /* Lighter primary/secondary for readability on dark background (cards, progress, %) */
+  --color-primary: oklch(65% 0.2 260);
+  --color-primary-content: #ffffff;
+  --color-secondary: oklch(72% 0.16 230);
+  --color-secondary-content: #ffffff;
+  --color-accent: oklch(72% 0.16 230);
+  --color-accent-content: #ffffff;
+  --color-neutral: oklch(28% 0.02 260);
+  --color-neutral-content: oklch(92% 0.004 286.32);
+  --color-info: oklch(74% 0.16 232.661);
+  --color-info-content: oklch(29% 0.066 243.157);
+  --color-success: oklch(76% 0.177 163.223);
+  --color-success-content: oklch(37% 0.077 168.94);
+  --color-warning: oklch(82% 0.189 84.429);
+  --color-warning-content: oklch(41% 0.112 45.904);
+  --color-error: oklch(71% 0.194 13.428);
+  --color-error-content: oklch(27% 0.105 12.094);
+  --radius-selector: 0.5rem;
+  --radius-field: 0.25rem;
+  --radius-box: 0.5rem;
+  --size-selector: 0.25rem;
+  --size-field: 0.25rem;
+  --border: 1px;
+  --depth: 1;
+  --noise: 0;
+  --chart-grid-color: color-mix(in oklch, var(--color-base-content) 22%, transparent);
+}
+
+/* VTB gradient (both themes) */
+:root {
+  --gradient-vtb: linear-gradient(135deg, #0a2973 0%, #009fdf 100%);
+}
+
+/* Gradient top border for cards */
+.border-t-gradient-vtb {
+  position: relative;
+}
+.border-t-gradient-vtb::before {
+  content: "";
+  position: absolute;
+  top: 0;
+  left: 0;
+  right: 0;
+  height: 4px;
+  background: var(--gradient-vtb);
+  border-radius: var(--radius-box) var(--radius-box) 0 0;
+}
+
+/* Gradient button (e.g. Load Analysis) */
+.btn-gradient-vtb {
+  background: var(--gradient-vtb);
+  color: #ffffff;
+  border: none;
+}
+.btn-gradient-vtb:hover {
+  opacity: 0.9;
+  color: #ffffff;
+}
+
+/* Main content area: distinct background so cards (base-100) stand out */
+[data-theme=light] main {
+  background-color: var(--color-base-200);
+}
+[data-theme=dark] main {
+  background-color: var(--color-base-200);
+}
+
+/* Dark theme: improve contrast for muted text and controls */
+[data-theme=dark] .text-base-content\/60 {
+  color: color-mix(in oklch, var(--color-base-content) 88%, transparent);
+}
+[data-theme=dark] .text-base-content\/70 {
+  color: color-mix(in oklch, var(--color-base-content) 92%, transparent);
+}
+[data-theme=dark] .text-base-content\/30 {
+  color: color-mix(in oklch, var(--color-base-content) 55%, transparent);
+}
+[data-theme=dark] .badge-outline {
+  border-color: color-mix(in oklch, var(--color-base-content) 75%, transparent);
+  color: color-mix(in oklch, var(--color-base-content) 90%, transparent);
+}
+[data-theme=dark] .badge-neutral {
+  background-color: var(--color-base-300);
+  color: var(--color-base-content);
+  border-color: transparent;
+}
+[data-theme=dark] .btn-ghost {
+  color: color-mix(in oklch, var(--color-base-content) 90%, transparent);
+}
+[data-theme=dark] .btn-ghost:hover {
+  color: var(--color-base-content);
+  background-color: color-mix(in oklch, var(--color-base-content) 12%, transparent);
+}
+
+/* Dark theme: better contrast for CPU chart stats (Mean, ±0.5σ) */
+[data-theme=dark] section[aria-label="CPU distribution chart"] .text-success {
+  color: oklch(85% 0.16 163);
+}
+[data-theme=dark] section[aria-label="CPU distribution chart"] .text-error\/60 {
+  color: oklch(82% 0.18 13);
+}
+
+/* Accessibility: ensure focus ring is visible on key controls */
+.btn:focus-visible,
+.select:focus-within,
+label.swap:focus-within:not(.theme-toggle) {
+  outline: 2px solid var(--color-primary);
+  outline-offset: 2px;
+}
+
+/* Light theme: slightly stronger card shadow for depth */
+[data-theme=light] .card.shadow-sm {
+  box-shadow: 0 1px 3px 0 rgb(0 0 0 / 0.08), 0 1px 2px -1px rgb(0 0 0 / 0.06);
+}
+[data-theme=light] .card.shadow-sm:hover {
+  box-shadow: 0 4px 6px -1px rgb(0 0 0 / 0.08), 0 2px 4px -2px rgb(0 0 0 / 0.06);
 }

@source "../../templates";
+
+/* --- Print (Save as PDF) --- */
+@media print {
+  .no-print {
+    display: none !important;
+  }
+  .print-only {
+    display: block !important;
+  }
+  /* Keep card backgrounds and colors when printing */
+  .card,
+  main,
+  .badge,
+  .progress {
+    -webkit-print-color-adjust: exact;
+    print-color-adjust: exact;
+  }
+  /* Avoid breaking cards and sections across pages */
+  .card {
+    break-inside: avoid;
+    page-break-inside: avoid;
+  }
+  section {
+    break-inside: avoid;
+    page-break-inside: avoid;
+  }
+  /* Reduce top padding so content starts higher */
+  main {
+    padding-top: 0.5rem !important;
+  }
+}
+@media screen {
+  .print-only {
+    display: none !important;
+  }
+}
--- a/static/favicon.ico
+++ b/static/favicon.ico
--- a/static/fonts/dm-sans-latin-400-italic.woff2
+++ b/static/fonts/dm-sans-latin-400-italic.woff2
--- a/static/fonts/dm-sans-latin-400-normal.woff2
+++ b/static/fonts/dm-sans-latin-400-normal.woff2
--- a/static/fonts/dm-sans-latin-500-italic.woff2
+++ b/static/fonts/dm-sans-latin-500-italic.woff2
--- a/static/fonts/dm-sans-latin-500-normal.woff2
+++ b/static/fonts/dm-sans-latin-500-normal.woff2
--- a/static/fonts/dm-sans-latin-600-italic.woff2
+++ b/static/fonts/dm-sans-latin-600-italic.woff2
--- a/static/fonts/dm-sans-latin-600-normal.woff2
+++ b/static/fonts/dm-sans-latin-600-normal.woff2
--- a/static/fonts/dm-sans-latin-700-italic.woff2
+++ b/static/fonts/dm-sans-latin-700-italic.woff2
--- a/static/fonts/dm-sans-latin-700-normal.woff2
+++ b/static/fonts/dm-sans-latin-700-normal.woff2
--- a/static/js/chart.js
+++ b/static/js/chart.js
--- a/static/js/export-pdf.js
+++ b/static/js/export-pdf.js
@@ -0,0 +1,111 @@
+/**
+ * Export dashboard as PDF by capturing a screenshot of #dashboard-content
+ * and assembling it into a multi-page PDF (html2canvas + jsPDF).
+ */
+function exportDashboardToPdf() {
+  var el = document.getElementById('dashboard-content');
+  if (!el) {
+    if (typeof console !== 'undefined' && console.warn) {
+      console.warn('export-pdf: #dashboard-content not found');
+    }
+    return;
+  }
+
+  var btn = document.getElementById('pdf-export-btn');
+  var originalText = btn ? btn.innerHTML : '';
+  if (btn) {
+    btn.disabled = true;
+    btn.innerHTML = 'Generating PDF…';
+  }
+
+  var regionEl = document.getElementById('regionBadge');
+  var region = regionEl ? (regionEl.textContent || '').trim() : '';
+
+  if (typeof html2canvas === 'undefined' || typeof jspdf === 'undefined') {
+    if (btn) {
+      btn.disabled = false;
+      btn.innerHTML = originalText;
+    }
+    alert('PDF export requires html2canvas and jsPDF. Please refresh the page.');
+    return;
+  }
+
+  var JsPDFConstructor = (typeof jspdf !== 'undefined' && jspdf.jsPDF) ? jspdf.jsPDF : jspdf;
+
+  var auditSection = el.querySelector('section[aria-label="Audit analysis"]');
+  var auditSectionDisplay = '';
+  if (auditSection) {
+    auditSectionDisplay = auditSection.style.display;
+    auditSection.style.display = 'none';
+  }
+
+  function restoreAuditSection() {
+    if (auditSection) {
+      auditSection.style.display = auditSectionDisplay;
+    }
+  }
+
+  html2canvas(el, {
+    scale: 2,
+    useCORS: true,
+    allowTaint: true,
+    logging: false
+  }).then(function(canvas) {
+    var imgW = canvas.width;
+    var imgH = canvas.height;
+    var dataUrl = canvas.toDataURL('image/png');
+
+    var doc = new JsPDFConstructor({ orientation: 'portrait', unit: 'mm', format: 'a4' });
+    var pageW = 210;
+    var pageH = 297;
+    var margin = 10;
+    var contentW = pageW - 2 * margin;
+    var headerH = 14;
+    var firstPageImgTop = margin + headerH;
+    var firstPageImgH = pageH - firstPageImgTop - margin;
+    var otherPageImgH = pageH - 2 * margin;
+
+    var imgWmm = contentW;
+    var imgHmm = contentW * (imgH / imgW);
+
+    doc.setFontSize(14);
+    doc.text('Dashboard report', margin, margin + 6);
+    doc.setFontSize(10);
+    doc.text(region ? 'Region: ' + region : '', margin, margin + 12);
+
+    var shown = 0;
+    var totalH = imgHmm;
+    var pageNum = 0;
+    var imgYmm = firstPageImgTop;
+
+    while (shown < totalH) {
+      if (pageNum > 0) {
+        doc.addPage();
+        imgYmm = margin;
+      }
+      var sliceH = pageNum === 0 ? firstPageImgH : otherPageImgH;
+      var yOffset = -shown;
+      doc.addImage(dataUrl, 'PNG', margin, imgYmm + yOffset, imgWmm, imgHmm);
+      shown += sliceH;
+      pageNum += 1;
+    }
+
+    doc.save('dashboard-report.pdf');
+
+    restoreAuditSection();
+    if (btn) {
+      btn.disabled = false;
+      btn.innerHTML = originalText;
+    }
+  }).catch(function (err) {
+    if (typeof console !== 'undefined' && console.error) {
+      console.error('export-pdf:', err);
+    }
+    restoreAuditSection();
+    if (btn) {
+      btn.disabled = false;
+      btn.innerHTML = originalText;
+    }
+    alert('Failed to generate PDF. Please try again.');
+  });
+}
--- a/static/js/html2canvas-pro.min.js
+++ b/static/js/html2canvas-pro.min.js
--- a/static/js/jspdf.umd.min.js
+++ b/static/js/jspdf.umd.min.js
--- a/static/js/utils.js
+++ b/static/js/utils.js
@@ -1,3 +1,13 @@
+// Format bytes to GB (matches Django convert_bytes filter default)
+function formatBytes(bytes, targetUnit = 'GB') {
+    if (bytes == null || isNaN(Number(bytes))) return '0';
+    const b = Number(bytes);
+    const factors = { B: 1, KB: 1024, MB: 1024 * 1024, GB: 1024 ** 3, TB: 1024 ** 4 };
+    const unit = (targetUnit || 'GB').toUpperCase();
+    const factor = factors[unit] || factors.GB;
+    return (b / factor).toFixed(1);
+}
+
 // Color utilities
 const getCSSVar = (varName) => {
    return getComputedStyle(document.documentElement).getPropertyValue(varName).trim();
--- a/templates/base.html
+++ b/templates/base.html
@@ -5,7 +5,10 @@
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>{% block title %}SWatcher{% endblock %}</title>
+    <link rel="icon" href="{% static 'favicon.ico' %}" type="image/x-icon">
    <link rel="stylesheet" href="{% static 'css/output.css' %}">
+    <script src="{% static 'js/html2canvas-pro.min.js' %}"></script>
+    <script src="{% static 'js/jspdf.umd.min.js' %}"></script>
    {% block imports %}
    {% endblock %}
    {% block css %}
@@ -13,16 +16,24 @@
 </head>
 <body>
    <!-- Navbar -->
-    <div class="navbar bg-base-100 shadow-lg">
+    <div class="navbar bg-base-100 shadow-lg border-b border-base-200 sticky top-0 z-10">
        <div class="navbar-start">
        <a class="btn btn-ghost text-xl" href="{% url 'index' %}">SWatcher</a>
        </div>
-        <div class="navbar-center hidden lg:flex">
-        </div>
        <div class="navbar-end">
-            <div class="px-1 flex gap-3 pr-10">
-                <span class="badge badge-primary badge-lg">{{ region.name }}</span>
-                <label class="swap swap-rotate">
+            <div class="px-1 flex items-center gap-3 pr-10">
+                <button type="button" id="pdf-export-btn" class="btn btn-ghost btn-sm no-print" onclick="exportDashboardToPdf()" title="Save as PDF" aria-label="Save as PDF">
+                    <svg class="w-5 h-5" fill="none" stroke="currentColor" viewBox="0 0 24 24" aria-hidden="true">
+                        <path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M12 10v6m0 0l-3-3m3 3l3-3m2 8H7a2 2 0 01-2-2V5a2 2 0 012-2h5.586a1 1 0 01.707.293l5.414 5.414a1 1 0 01.293.707V19a2 2 0 01-2 2z"/>
+                    </svg>
+                    Save as PDF
+                </button>
+                <span id="regionBadge" class="badge badge-primary badge-lg">{{ region.name }}</span>
+                <div id="source-status" class="flex items-center gap-2 no-print" aria-label="Data source status">
+                    <span id="source-status-prometheus" class="badge badge-ghost badge-sm" title="Prometheus">Prometheus: …</span>
+                    <span id="source-status-openstack" class="badge badge-ghost badge-sm" title="OpenStack">OpenStack: …</span>
+                </div>
+                <label class="swap swap-rotate theme-toggle no-print">
                    <input type="checkbox" class="theme-controller" value="dark" />
                    <svg class="swap-off fill-current w-6 h-6" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24">
                        <path d="M5.64,17l-.71.71a1,1,0,0,0,0,1.41,1,1,0,0,0,1.41,0l.71-.71A1,1,0,0,0,5.64,17ZM5,12a1,1,0,0,0-1-1H3a1,1,0,0,0,0,2H4A1,1,0,0,0,5,12Zm7-7a1,1,0,0,0,1-1V3a1,1,0,0,0-2,0V4A1,1,0,0,0,12,5ZM5.64,7.05a1,1,0,0,0,.7.29,1,1,0,0,0,.71-.29,1,1,0,0,0,0-1.41l-.71-.71A1,1,0,0,0,4.93,6.34Zm12,.29a1,1,0,0,0,.7-.29l.71-.71a1,1,0,1,0-1.41-1.41L17,5.64a1,1,0,0,0,0,1.41A1,1,0,0,0,17.66,7.34ZM21,11H20a1,1,0,0,0,0,2h1a1,1,0,0,0,0-2Zm-9,8a1,1,0,0,0-1,1v1a1,1,0,0,0,2,0V20A1,1,0,0,0,12,19ZM18.36,17A1,1,0,0,0,17,18.36l.71.71a1,1,0,0,0,1.41,0,1,1,0,0,0,0-1.41ZM12,6.5A5.5,5.5,0,1,0,17.5,12,5.51,5.51,0,0,0,12,6.5Zm0,9A3.5,3.5,0,1,1,15.5,12,3.5,3.5,0,0,1,12,15.5Z"/>
@@ -37,6 +48,7 @@

    <!-- Main Content -->
    <main class="container mx-auto px-4 py-8 min-h-screen">
+        <p class="print-only text-lg font-semibold mb-4">Dashboard report</p>
        {% block content %}
        {% endblock %}
    </main>
@@ -62,6 +74,47 @@
            localStorage.setItem('theme', newTheme);
        });
    </script>
+    <script src="{% static 'js/export-pdf.js' %}"></script>
+    <script>
+        (function() {
+            function updateSourceStatus(el, label, data) {
+                if (!el) return;
+                var status = data && data.status;
+                var msg = data && data.message;
+                var title = msg ? (label + ': ' + msg) : label;
+                el.setAttribute('title', title);
+                el.setAttribute('aria-label', title);
+                if (status === 'ok') {
+                    el.textContent = label + ': OK';
+                    el.classList.remove('badge-error', 'badge-warning');
+                    el.classList.add('badge-success');
+                } else if (status === 'error') {
+                    el.textContent = label + ': Error';
+                    el.classList.remove('badge-success', 'badge-warning');
+                    el.classList.add('badge-error');
+                } else if (status === 'mock') {
+                    el.textContent = label + ': Mock';
+                    el.classList.remove('badge-error', 'badge-success');
+                    el.classList.add('badge-warning');
+                } else {
+                    el.textContent = label + ': …';
+                    el.classList.remove('badge-success', 'badge-error', 'badge-warning');
+                }
+            }
+            document.addEventListener('DOMContentLoaded', function() {
+                var promEl = document.getElementById('source-status-prometheus');
+                var osEl = document.getElementById('source-status-openstack');
+                if (!promEl || !osEl) return;
+                fetch('/api/source-status/').then(function(r) { return r.ok ? r.json() : {}; }).then(function(data) {
+                    updateSourceStatus(promEl, 'Prometheus', data.prometheus);
+                    updateSourceStatus(osEl, 'OpenStack', data.openstack);
+                }).catch(function() {
+                    updateSourceStatus(promEl, 'Prometheus', { status: 'error', message: 'Failed to fetch status' });
+                    updateSourceStatus(osEl, 'OpenStack', { status: 'error', message: 'Failed to fetch status' });
+                });
+            });
+        })();
+    </script>
    {% block script %}
    {% endblock %}
 </body>
--- a/templates/index.html
+++ b/templates/index.html
@@ -5,27 +5,48 @@
 <script src="{% static 'js/utils.js' %}"></script>
 <script src="{% static 'js/chart.js' %}"></script>
 <script src="{% static 'js/chartjs-plugin-datalabels.min.js' %}"></script>
+<script src="{% static 'js/chartjs-plugin-annotation.min.js' %}"></script>
 {% endblock %}

 {% block content %}
 <!-- MAIN DASHBOARD -->
-<div class="p-4 space-y-4">
+<div id="dashboard-content" class="p-4 space-y-8" {% if skeleton %}data-dashboard="skeleton"{% endif %}>
    <!-- QUICK STATS ROW -->
-    <div class="grid grid-cols-1 lg:grid-cols-3 gap-4">
+    <section class="grid grid-cols-1 lg:grid-cols-3 gap-4" aria-label="Quick stats">
        <!-- CPU Utilization -->
-        <div class="card bg-base-100 shadow-sm hover:shadow transition-shadow">
-            <div class="card-body p-4">
+        <div class="card bg-base-100 shadow-sm hover:shadow transition-shadow" id="statsPcpuCard">
+            <div class="card-body p-5">
+                {% if skeleton %}
                <div class="flex items-center justify-between mb-3">
                    <div>
                        <h3 class="text-sm font-medium text-base-content/70">CPU Utilization</h3>
-                        <div class="text-xs text-base-content/40 mt-0.5">{{ pcpu.usage }} / {{ pcpu.total }} CPU</div>
+                        <div class="text-xs text-base-content/60 mt-0.5 animate-pulse"><span data-stats="pcpu.usage">—</span> / <span data-stats="pcpu.total">—</span> CPU</div>
                    </div>
-                    <div class="text-lg font-bold text-primary">{{ pcpu.used_percentage|floatformat:1 }}%</div>
+                    <div class="text-xl font-bold text-primary animate-pulse" data-stats="pcpu.used_percentage">—%</div>
                </div>
                <div class="space-y-2">
                    <div class="flex justify-between text-xs">
                        <span class="text-base-content/60">Used</span>
-                        <span class="font-medium">{{ pcpu.usage }} CPU</span>
+                        <span class="font-medium animate-pulse" data-stats="pcpu.usage_val">—</span>
+                    </div>
+                    <progress class="progress progress-primary w-full animate-pulse" data-stats="pcpu.progress" value="0" max="100"></progress>
+                    <div class="flex justify-between text-xs">
+                        <span class="text-base-content/60">Free</span>
+                        <span class="font-medium animate-pulse" data-stats="pcpu.free">—</span>
+                    </div>
+                </div>
+                {% else %}
+                <div class="flex items-center justify-between mb-3">
+                    <div>
+                        <h3 class="text-sm font-medium text-base-content/70">CPU Utilization</h3>
+                        <div class="text-xs text-base-content/60 mt-0.5">{{ pcpu.usage|floatformat:1 }} / {{ pcpu.total }} CPU</div>
+                    </div>
+                    <div class="text-xl font-bold text-primary">{{ pcpu.used_percentage|floatformat:1 }}%</div>
+                </div>
+                <div class="space-y-2">
+                    <div class="flex justify-between text-xs">
+                        <span class="text-base-content/60">Used</span>
+                        <span class="font-medium">{{ pcpu.usage|floatformat:1 }} CPU</span>
                    </div>
                    <progress class="progress progress-primary w-full" value="{{ pcpu.used_percentage }}" max="100"></progress>
                    <div class="flex justify-between text-xs">
@@ -33,18 +54,39 @@
                        <span class="font-medium">{{ pcpu.free }} CPU</span>
                    </div>
                </div>
+                {% endif %}
            </div>
        </div>

        <!-- RAM Utilization -->
-        <div class="card bg-base-100 shadow-sm hover:shadow transition-shadow">
-            <div class="card-body p-4">
+        <div class="card bg-base-100 shadow-sm hover:shadow transition-shadow" id="statsPramCard">
+            <div class="card-body p-5">
+                {% if skeleton %}
                <div class="flex items-center justify-between mb-3">
                    <div>
                        <h3 class="text-sm font-medium text-base-content/70">RAM Utilization</h3>
-                        <div class="text-xs text-base-content/40 mt-0.5">{{ pram.usage|convert_bytes }} / {{ pram.total|convert_bytes }} GB</div>
+                        <div class="text-xs text-base-content/60 mt-0.5 animate-pulse"><span data-stats="pram.usage_gb">—</span> / <span data-stats="pram.total_gb">—</span> GB</div>
                    </div>
-                    <div class="text-lg font-bold text-secondary">{{ pram.used_percentage|floatformat:1 }}%</div>
+                    <div class="text-xl font-bold text-secondary animate-pulse" data-stats="pram.used_percentage">—%</div>
+                </div>
+                <div class="space-y-2">
+                    <div class="flex justify-between text-xs">
+                        <span class="text-base-content/60">Used</span>
+                        <span class="font-medium animate-pulse" data-stats="pram.usage_gb_val">—</span>
+                    </div>
+                    <progress class="progress progress-secondary w-full animate-pulse" data-stats="pram.progress" value="0" max="100"></progress>
+                    <div class="flex justify-between text-xs">
+                        <span class="text-base-content/60">Free</span>
+                        <span class="font-medium animate-pulse" data-stats="pram.free_gb">—</span>
+                    </div>
+                </div>
+                {% else %}
+                <div class="flex items-center justify-between mb-3">
+                    <div>
+                        <h3 class="text-sm font-medium text-base-content/70">RAM Utilization</h3>
+                        <div class="text-xs text-base-content/60 mt-0.5">{{ pram.usage|convert_bytes }} / {{ pram.total|convert_bytes }} GB</div>
+                    </div>
+                    <div class="text-xl font-bold text-secondary">{{ pram.used_percentage|floatformat:1 }}%</div>
                </div>
                <div class="space-y-2">
                    <div class="flex justify-between text-xs">
@@ -57,18 +99,51 @@
                        <span class="font-medium">{{ pram.free|convert_bytes }} GB</span>
                    </div>
                </div>
+                {% endif %}
            </div>
        </div>

        <!-- Instance Summary -->
-        <div class="card bg-base-100 shadow-sm hover:shadow transition-shadow">
-            <div class="card-body p-4">
+        <div class="card bg-base-100 shadow-sm hover:shadow transition-shadow" id="statsVmCard">
+            <div class="card-body p-5">
+                {% if skeleton %}
                <div class="flex items-center justify-between mb-3">
                    <div>
                        <h3 class="text-sm font-medium text-base-content/70">Instances</h3>
-                        <div class="text-xs text-base-content/40 mt-0.5">{{ vm.active }} active / {{ vm.stopped }} stopped</div>
+                        <div class="text-xs text-base-content/60 mt-0.5 animate-pulse"><span data-stats="vm.active">—</span> active / <span data-stats="vm.stopped">—</span> stopped</div>
                    </div>
-                    <div class="text-lg font-bold text-accent">{{ vm.count }}</div>
+                    <div class="text-xl font-bold text-accent animate-pulse" data-stats="vm.count">—</div>
+                </div>
+                <div class="space-y-3">
+                    <div class="flex justify-between items-center text-xs">
+                        <div class="flex items-center gap-2">
+                            <div class="w-2 h-2 rounded-full bg-success"></div>
+                            <span>Most Used Flavor</span>
+                        </div>
+                        <span class="font-medium animate-pulse" data-stats="flavors.first_name">—</span>
+                    </div>
+                    <div class="flex justify-between items-center text-xs">
+                        <div class="flex items-center gap-2">
+                            <div class="w-2 h-2 rounded-full bg-info"></div>
+                            <span>Avg. vCPU/VM</span>
+                        </div>
+                        <span class="font-medium animate-pulse" data-stats="vm.avg_cpu">—</span>
+                    </div>
+                    <div class="flex justify-between items-center text-xs">
+                        <div class="flex items-center gap-2">
+                            <div class="w-2 h-2 rounded-full bg-warning"></div>
+                            <span>Density</span>
+                        </div>
+                        <span class="font-medium animate-pulse" data-stats="vm.density">—</span>
+                    </div>
+                </div>
+                {% else %}
+                <div class="flex items-center justify-between mb-3">
+                    <div>
+                        <h3 class="text-sm font-medium text-base-content/70">Instances</h3>
+                        <div class="text-xs text-base-content/60 mt-0.5">{{ vm.active }} active / {{ vm.stopped }} stopped</div>
+                    </div>
+                    <div class="text-xl font-bold text-accent">{{ vm.count }}</div>
                </div>
                <div class="space-y-3">
                    <div class="flex justify-between items-center text-xs">
@@ -93,22 +168,46 @@
                        <span class="font-medium">{{ vm.density|floatformat:1 }}/host</span>
                    </div>
                </div>
+                {% endif %}
            </div>
        </div>
-    </div>
+    </section>

    <!-- DETAILED OVERVIEW -->
-    <div class="grid grid-cols-1 lg:grid-cols-2 gap-4">
+    <section class="grid grid-cols-1 lg:grid-cols-2 gap-4" aria-label="Resource allocation and flavors">
        <!-- Resource Allocation -->
-        <div class="card bg-base-100 shadow-sm">
-            <div class="card-body p-4">
-                <h3 class="text-sm font-semibold mb-4 flex items-center gap-2">
+        <div class="card bg-base-100 shadow-sm border-t-gradient-vtb" id="statsAllocationCard">
+            <div class="card-body p-5">
+                <h2 class="text-lg font-semibold mb-4 flex items-center gap-2">
                    <svg class="w-4 h-4" fill="none" stroke="currentColor" viewBox="0 0 24 24">
                        <path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M9 19v-6a2 2 0 00-2-2H5a2 2 0 00-2 2v6a2 2 0 002 2h2a2 2 0 002-2zm0 0V9a2 2 0 012-2h2a2 2 0 012 2v10m-6 0a2 2 0 002 2h2a2 2 0 002-2m0 0V5a2 2 0 012-2h2a2 2 0 012 2v14a2 2 0 01-2 2h-2a2 2 0 01-2-2z"/>
                    </svg>
                    Resource Allocation
-                </h3>
-                
+                </h2>
+                {% if skeleton %}
+                <div class="mb-4">
+                    <div class="flex justify-between text-xs mb-1">
+                        <span class="text-base-content/70">CPU Allocation</span>
+                        <span class="font-medium animate-pulse" data-stats="vcpu.allocated_total">— / — vCPU</span>
+                    </div>
+                    <div class="flex items-center gap-2">
+                        <progress class="progress progress-primary flex-1 animate-pulse" data-stats="vcpu.progress" value="0" max="100"></progress>
+                        <span class="text-xs font-medium w-12 text-right animate-pulse" data-stats="vcpu.allocated_percentage">—%</span>
+                    </div>
+                    <div class="flex justify-between text-xs mt-1 animate-pulse" data-stats="vcpu.overcommit">—</div>
+                </div>
+                <div>
+                    <div class="flex justify-between text-xs mb-1">
+                        <span class="text-base-content/70">RAM Allocation</span>
+                        <span class="font-medium animate-pulse" data-stats="vram.allocated_total">— / — GB</span>
+                    </div>
+                    <div class="flex items-center gap-2">
+                        <progress class="progress progress-secondary flex-1 animate-pulse" data-stats="vram.progress" value="0" max="100"></progress>
+                        <span class="text-xs font-medium w-12 text-right animate-pulse" data-stats="vram.allocated_percentage">—%</span>
+                    </div>
+                    <div class="flex justify-between text-xs mt-1 animate-pulse" data-stats="vram.overcommit">—</div>
+                </div>
+                {% else %}
                <!-- CPU Allocation -->
                <div class="mb-4">
                    <div class="flex justify-between text-xs mb-1">
@@ -120,8 +219,8 @@
                        <span class="text-xs font-medium w-12 text-right">{{ vcpu.allocated_percentage|floatformat:1 }}%</span>
                    </div>
                    <div class="flex justify-between text-xs mt-1">
-                        <span class="text-base-content/50">overcommit: {{ vcpu.overcommit_ratio|floatformat:1 }} / {{ vcpu.overcommit_max }}</span>
-                        <span class="text-base-content/50">{{ vcpu.allocated_percentage|floatformat:1 }}% allocated</span>
+                        <span class="text-base-content/60">overcommit: {{ vcpu.overcommit_ratio|floatformat:1 }} / {{ vcpu.overcommit_max|floatformat:1 }}</span>
+                        <span class="text-base-content/60">{{ vcpu.allocated_percentage|floatformat:1 }}% allocated</span>
                    </div>
                </div>

@@ -136,24 +235,54 @@
                        <span class="text-xs font-medium w-12 text-right">{{ vram.allocated_percentage|floatformat:1 }}%</span>
                    </div>
                    <div class="flex justify-between text-xs mt-1">
-                        <span class="text-base-content/50">overcommit: {{ vram.overcommit_ratio|floatformat:1 }} / {{ vram.overcommit_max }}</span>
-                        <span class="text-base-content/50">{{ vram.allocated_percentage|floatformat:1 }}% allocated</span>
+                        <span class="text-base-content/60">overcommit: {{ vram.overcommit_ratio|floatformat:1 }} / {{ vram.overcommit_max|floatformat:1 }}</span>
+                        <span class="text-base-content/60">{{ vram.allocated_percentage|floatformat:1 }}% allocated</span>
                    </div>
                </div>
+                {% endif %}
            </div>
        </div>

        <!-- Flavor Distribution -->
-        <div class="card bg-base-100 shadow-sm">
-            <div class="card-body p-4">
-                <h3 class="text-sm font-semibold mb-4 flex items-center gap-2">
+        <div class="card bg-base-100 shadow-sm border-t-gradient-vtb" id="statsFlavorsCard">
+            <div class="card-body p-5">
+                <h2 class="text-lg font-semibold mb-4 flex items-center gap-2">
                    <svg class="w-4 h-4" fill="none" stroke="currentColor" viewBox="0 0 24 24">
                        <path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M11 3.055A9.001 9.001 0 1020.945 13H11V3.055z"/>
                        <path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M20.488 9H15V3.512A9.025 9.025 0 0120.488 9z"/>
                    </svg>
                    Top Flavors
-                </h3>
-                
+                </h2>
+                {% if skeleton %}
+                <div class="space-y-3">
+                    <div class="bg-base-200/50 rounded-lg p-3">
+                        <div class="flex justify-between items-center mb-1">
+                            <span class="text-sm font-medium animate-pulse" data-stats="flavors.first_name">—</span>
+                            <span class="text-xs badge badge-primary animate-pulse" data-stats="flavors.first_count">— instances</span>
+                        </div>
+                        <div class="flex justify-between text-xs">
+                            <span class="text-base-content/60">Share</span>
+                            <span class="font-medium animate-pulse" data-stats="flavors.first_share">—%</span>
+                        </div>
+                    </div>
+                    <div class="space-y-2">
+                        <div class="flex justify-between items-center text-sm">
+                            <div class="flex items-center gap-2">
+                                <div class="w-1.5 h-1.5 rounded-full bg-base-content/30"></div>
+                                <span class="animate-pulse" data-stats="flavors.second_name">—</span>
+                            </div>
+                            <span class="text-xs badge badge-outline animate-pulse" data-stats="flavors.second_count">—</span>
+                        </div>
+                        <div class="flex justify-between items-center text-sm">
+                            <div class="flex items-center gap-2">
+                                <div class="w-1.5 h-1.5 rounded-full bg-base-content/30"></div>
+                                <span class="animate-pulse" data-stats="flavors.third_name">—</span>
+                            </div>
+                            <span class="text-xs badge badge-outline animate-pulse" data-stats="flavors.third_count">—</span>
+                        </div>
+                    </div>
+                </div>
+                {% else %}
                <div class="space-y-3">
                    <!-- Most Common -->
                    <div class="bg-base-200/50 rounded-lg p-3">
@@ -190,21 +319,23 @@
                        {% endif %}
                    </div>
                </div>
+                {% endif %}
            </div>
        </div>
-    </div>
+    </section>

    <!-- AUDIT CONTROL -->
-    <div class="card bg-base-100 shadow-sm">
-        <div class="card-body p-4">
+    <section aria-label="Audit analysis">
+    <div class="card bg-base-100 shadow-sm" id="auditSection">
+        <div class="card-body p-5">
            <div class="flex flex-col sm:flex-row sm:items-center justify-between gap-3 mb-4">
                <div>
-                    <h3 class="text-sm font-semibold">Audit Analysis</h3>
-                    <div class="text-xs text-base-content/50 mt-0.5">Select an audit to analyze resource distribution</div>
+                    <h2 class="text-lg font-semibold">Audit Analysis</h2>
+                    <div class="text-base text-base-content/60 mt-0.5">Select an audit to analyze resource distribution</div>
                </div>
                <div class="flex items-center gap-2">
-                    <span class="text-xs text-base-content/50">{{ audits|length }} available</span>
-                    <div class="dropdown dropdown-end">
+                    <span class="text-xs text-base-content/60" id="auditsCount">{% if skeleton %}Loading…{% else %}{{ audits|length }} available{% endif %}</span>
+                    <div class="dropdown dropdown-end no-print">
                        <label tabindex="0" class="btn btn-xs btn-ghost">
                            <svg class="w-4 h-4" fill="none" stroke="currentColor" viewBox="0 0 24 24">
                                <path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M13 16h-1v-4h-1m1-4h.01M21 12a9 9 0 11-18 0 9 9 0 0118 0z"/>
@@ -238,7 +369,10 @@
            </div>

            <div class="flex flex-col md:flex-row gap-3">
-                <select id="auditSelector" class="select select-bordered select-sm flex-1">
+                <select id="auditSelector" class="select select-bordered select-sm flex-1" {% if skeleton %}disabled{% endif %}>
+                    {% if skeleton %}
+                    <option value="">Loading…</option>
+                    {% else %}
                    {% for audit in audits %}
                    <option value="{{ audit.id }}"
                            data-cpu="{{ audit.cpu_weight }}"
@@ -249,58 +383,47 @@
                        {{ audit.name }} ({{ audit.created_at|date:"M d" }})
                    </option>
                    {% endfor %}
+                    {% endif %}
                </select>
-                <button onclick="loadSelectedAudit()" class="btn btn-primary btn-sm">
+                <button type="button" onclick="loadSelectedAudit()" class="btn btn-primary btn-sm gap-2 no-print">
+                    <svg class="w-4 h-4 shrink-0" fill="none" stroke="currentColor" viewBox="0 0 24 24" aria-hidden="true">
+                        <path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M13 7l5 5m0 0l-5 5m5-5H6"/>
+                    </svg>
                    Load Analysis
                </button>
            </div>
        </div>
    </div>
+    </section>

    <!-- ANALYSIS VISUALIZATION -->
-    <div class="grid grid-cols-1 lg:grid-cols-2 gap-4">
-        <!-- Current State -->
+    <section aria-label="CPU distribution chart">
        <div class="card bg-base-100 shadow-sm">
-            <div class="card-body p-4">
-                <h3 class="text-sm font-semibold mb-4">Current CPU Distribution</h3>
+            <div class="card-body p-5">
+                <h3 class="text-lg font-semibold mb-4">CPU Distribution (Current vs Projected)</h3>
                <div class="h-48">
-                    <canvas id="cpuHostChart"></canvas>
+                    <canvas id="cpuDistributionChart"></canvas>
                </div>
                <div class="flex items-center justify-center gap-3 mt-3">
                    <div class="flex items-center gap-1 text-xs">
                        <div class="w-3 h-0.5 bg-success"></div>
                        <span class="text-success">Mean: <span id="currentCpuMean">0</span>%</span>
                    </div>
-                </div>
-            </div>
-        </div>
-
-        <!-- Projected State -->
-        <div class="card bg-base-100 shadow-sm">
-            <div class="card-body p-4">
-                <h3 class="text-sm font-semibold mb-4">Projected CPU Distribution</h3>
-                <div class="h-48">
-                    <canvas id="cpuProjectedChart"></canvas>
-                </div>
-                <div class="flex items-center justify-center gap-4 mt-3">
-                    <div class="flex items-center gap-1 text-xs">
-                        <div class="w-3 h-0.5 bg-success"></div>
-                        <span class="text-success">Mean: <span id="projectedCpuMean">0</span>%</span>
-                    </div>
                    <div class="flex items-center gap-1 text-xs">
                        <div class="w-3 h-0.5 bg-error/60"></div>
-                        <span class="text-error/60">±1σ: <span id="projectedCpuStd">0</span>%</span>
-                    </div>
+                        <span class="text-error/60">±0.5σ: <span id="currentCpuStd">0</span>%</span>
                    </div>
                </div>
            </div>
        </div>
+    </section>

    <!-- MIGRATION ACTIONS -->
+    <section aria-label="Migration actions">
    <div class="card bg-base-100 shadow-sm">
-        <div class="card-body p-4">
+        <div class="card-body p-6">
            <div class="flex items-center justify-between mb-4">
-                <h3 class="text-sm font-semibold">Migration Actions</h3>
+                <h3 class="text-lg font-semibold">Migration Actions</h3>
                <div class="badge badge-neutral badge-sm" id="migrationCount">Select audit</div>
            </div>
            
@@ -316,7 +439,7 @@
                    </thead>
                    <tbody id="migrationTableBody" class="text-sm">
                        <tr>
-                            <td colspan="4" class="text-center py-6 text-base-content/40">
+                            <td colspan="4" class="text-center py-6 text-base-content/60">
                                No audit selected. Load an audit to view migration recommendations.
                            </td>
                        </tr>
@@ -325,22 +448,17 @@
            </div>
        </div>
    </div>
+    </section>
 </div>
 {% endblock %}

 {% block script %}
 <script>
-    // Update audit preview
-    document.getElementById('auditSelector').addEventListener('change', function(e) {
-        const option = this.options[this.selectedIndex];
-        document.getElementById('previewCpu').textContent = option.dataset.cpu || '1.0';
-        document.getElementById('previewRam').textContent = option.dataset.ram || '1.0';
-        document.getElementById('previewScope').textContent = option.dataset.scope || 'Full Cluster';
-        document.getElementById('previewStrategy').textContent = option.dataset.strategy || 'Balanced';
-    });
+    const SKELETON_MODE = {{ skeleton|yesno:"true,false" }};
+    const CURRENT_CLUSTER = {% if current_cluster %}{ "host_labels": {{ current_cluster.host_labels|safe }}, "cpu_current": {{ current_cluster.cpu_current|safe }} }{% else %}null{% endif %};

-    // Audit data
-    const auditData = {
+    let auditData = {
+        {% if not skeleton %}
        {% for audit in audits %}
        "{{ audit.id }}": {
            name: "{{ audit.name }}",
@@ -352,11 +470,134 @@
            }
        }{% if not forloop.last %},{% endif %}
        {% endfor %}
+        {% endif %}
    };

-    // Chart instances
-    let cpuHostChart = null;
-    let cpuProjectedChart = null;
+    document.getElementById('auditSelector').addEventListener('change', function(e) {
+        const option = this.options[this.selectedIndex];
+        if (!option) return;
+        document.getElementById('previewCpu').textContent = option.dataset.cpu || '1.0';
+        document.getElementById('previewRam').textContent = option.dataset.ram || '1.0';
+        document.getElementById('previewScope').textContent = option.dataset.scope || 'Full Cluster';
+        document.getElementById('previewStrategy').textContent = option.dataset.strategy || 'Balanced';
+    });
+
+    let cpuDistributionChart = null;
+
+    function setStat(key, text) {
+        document.querySelectorAll('[data-stats="' + key + '"]').forEach(function(el) {
+            el.textContent = text;
+            el.classList.remove('animate-pulse');
+        });
+    }
+    function setProgress(key, value) {
+        document.querySelectorAll('[data-stats="' + key + '"]').forEach(function(el) {
+            if (el.tagName === 'PROGRESS') {
+                el.value = value;
+                el.classList.remove('animate-pulse');
+            }
+        });
+    }
+
+    function renderStats(data) {
+        if (!data) return;
+        var el = function(k) { return document.querySelector('[data-stats="' + k + '"]'); };
+        var regionBadge = document.getElementById('regionBadge');
+        if (regionBadge) regionBadge.textContent = data.region && data.region.name ? data.region.name : '—';
+        setStat('pcpu.usage', Number((data.pcpu && data.pcpu.usage) || 0).toFixed(1));
+        setStat('pcpu.total', String((data.pcpu && data.pcpu.total) || 0));
+        setStat('pcpu.used_percentage', Number((data.pcpu && data.pcpu.used_percentage) || 0).toFixed(1) + '%');
+        setStat('pcpu.usage_val', Number((data.pcpu && data.pcpu.usage) || 0).toFixed(1) + ' CPU');
+        setProgress('pcpu.progress', (data.pcpu && data.pcpu.used_percentage) || 0);
+        setStat('pcpu.free', String((data.pcpu && data.pcpu.free) || 0));
+        var pramUsageGb = formatBytes(data.pram && data.pram.usage, 'GB');
+        var pramTotalGb = formatBytes(data.pram && data.pram.total, 'GB');
+        var pramFreeGb = formatBytes(data.pram && data.pram.free, 'GB');
+        setStat('pram.usage_gb', pramUsageGb);
+        setStat('pram.total_gb', pramTotalGb);
+        setStat('pram.used_percentage', Number((data.pram && data.pram.used_percentage) || 0).toFixed(1) + '%');
+        setStat('pram.usage_gb_val', pramUsageGb + ' GB');
+        setProgress('pram.progress', (data.pram && data.pram.used_percentage) || 0);
+        setStat('pram.free_gb', pramFreeGb + ' GB');
+        setStat('vm.active', String(data.vm && data.vm.active));
+        setStat('vm.stopped', String(data.vm && data.vm.stopped));
+        setStat('vm.count', String(data.vm && data.vm.count));
+        setStat('flavors.first_name', data.flavors && data.flavors.first_common_flavor ? data.flavors.first_common_flavor.name : '—');
+        setStat('vm.avg_cpu', Number((data.vm && data.vm.avg_cpu) || 0).toFixed(1));
+        setStat('vm.density', Number((data.vm && data.vm.density) || 0).toFixed(1) + '/host');
+        setStat('vcpu.allocated_total', ((data.vcpu && data.vcpu.allocated) || 0) + ' / ' + ((data.vcpu && data.vcpu.total) || 0) + ' vCPU');
+        setProgress('vcpu.progress', (data.vcpu && data.vcpu.allocated_percentage) || 0);
+        setStat('vcpu.allocated_percentage', Number((data.vcpu && data.vcpu.allocated_percentage) || 0).toFixed(1) + '%');
+        var vcpuOver = el('vcpu.overcommit');
+        if (vcpuOver) {
+            vcpuOver.textContent = 'overcommit: ' + Number((data.vcpu && data.vcpu.overcommit_ratio) || 0).toFixed(1) + ' / ' + Number((data.vcpu && data.vcpu.overcommit_max) || 0).toFixed(1) + ' — ' + Number((data.vcpu && data.vcpu.allocated_percentage) || 0).toFixed(1) + '% allocated';
+            vcpuOver.classList.remove('animate-pulse');
+        }
+        var vramAllocGb = formatBytes(data.vram && data.vram.allocated, 'GB');
+        var vramTotalGb = formatBytes(data.vram && data.vram.total, 'GB');
+        setStat('vram.allocated_total', vramAllocGb + ' / ' + vramTotalGb + ' GB');
+        setProgress('vram.progress', (data.vram && data.vram.allocated_percentage) || 0);
+        setStat('vram.allocated_percentage', Number((data.vram && data.vram.allocated_percentage) || 0).toFixed(1) + '%');
+        var vramOver = el('vram.overcommit');
+        if (vramOver) {
+            vramOver.textContent = 'overcommit: ' + Number((data.vram && data.vram.overcommit_ratio) || 0).toFixed(1) + ' / ' + Number((data.vram && data.vram.overcommit_max) || 0).toFixed(1) + ' — ' + Number((data.vram && data.vram.allocated_percentage) || 0).toFixed(1) + '% allocated';
+            vramOver.classList.remove('animate-pulse');
+        }
+        setStat('flavors.first_count', (data.flavors && data.flavors.first_common_flavor ? data.flavors.first_common_flavor.count : 0) + ' instances');
+        var vmCount = data.vm && data.vm.count ? data.vm.count : 0;
+        var firstCount = data.flavors && data.flavors.first_common_flavor ? data.flavors.first_common_flavor.count : 0;
+        setStat('flavors.first_share', (vmCount ? Math.round(firstCount / vmCount * 100) : 0) + '%');
+        setStat('flavors.second_name', data.flavors && data.flavors.second_common_flavor ? data.flavors.second_common_flavor.name : '—');
+        setStat('flavors.second_count', data.flavors && data.flavors.second_common_flavor ? String(data.flavors.second_common_flavor.count) : '—');
+        setStat('flavors.third_name', data.flavors && data.flavors.third_common_flavor ? data.flavors.third_common_flavor.name : '—');
+        setStat('flavors.third_count', data.flavors && data.flavors.third_common_flavor ? String(data.flavors.third_common_flavor.count) : '—');
+        document.querySelectorAll('[data-stats]').forEach(function(n) { n.classList.remove('animate-pulse'); });
+    }
+
+    function renderAudits(auditsList) {
+        if (!auditsList || !auditsList.length) {
+            var countEl = document.getElementById('auditsCount');
+            if (countEl) countEl.textContent = '0 available';
+            var sel = document.getElementById('auditSelector');
+            if (sel) { sel.disabled = false; sel.innerHTML = '<option value="">No audits</option>'; }
+            return;
+        }
+        auditData = {};
+        auditsList.forEach(function(a) {
+            auditData[a.id] = {
+                name: a.name,
+                migrations: typeof a.migrations === 'string' ? JSON.parse(a.migrations) : a.migrations,
+                hostData: {
+                    labels: typeof a.host_labels === 'string' ? JSON.parse(a.host_labels) : a.host_labels,
+                    current: typeof a.cpu_current === 'string' ? JSON.parse(a.cpu_current) : a.cpu_current,
+                    projected: typeof a.cpu_projected === 'string' ? JSON.parse(a.cpu_projected) : a.cpu_projected
+                }
+            };
+        });
+        var sel = document.getElementById('auditSelector');
+        if (sel) {
+            sel.disabled = false;
+            sel.innerHTML = '';
+            auditsList.forEach(function(audit) {
+                var opt = document.createElement('option');
+                opt.value = audit.id;
+                opt.setAttribute('data-cpu', audit.cpu_weight || '1.0');
+                opt.setAttribute('data-ram', audit.ram_weight || '1.0');
+                opt.setAttribute('data-scope', audit.scope || 'Full Cluster');
+                opt.setAttribute('data-strategy', audit.strategy || 'Balanced');
+                opt.setAttribute('data-goal', audit.goal || '');
+                var dateStr = audit.created_at ? new Date(audit.created_at).toLocaleDateString('en-US', { month: 'short', day: 'numeric' }) : '';
+                opt.textContent = audit.name + ' (' + dateStr + ')';
+                sel.appendChild(opt);
+            });
+        }
+        var countEl = document.getElementById('auditsCount');
+        if (countEl) countEl.textContent = auditsList.length + ' available';
+        if (auditsList.length > 0) {
+            document.getElementById('auditSelector').dispatchEvent(new Event('change'));
+            loadSelectedAudit();
+        }
+    }

    // Load selected audit
    function loadSelectedAudit() {
@@ -374,7 +615,7 @@
        if (!data || !data.migrations || data.migrations.length === 0) {
            tbody.innerHTML = `
                <tr>
-                    <td colspan="4" class="text-center py-6 text-base-content/40">
+                    <td colspan="4" class="text-center py-6 text-base-content/60">
                        No migration actions recommended
                    </td>
                </tr>
@@ -420,105 +661,148 @@
        migrationCount.textContent = `${data.migrations.length} action${data.migrations.length !== 1 ? 's' : ''}`;
    }

-    // Update CPU charts
+    // Update CPU chart (combined current vs projected)
    function updateCPUCharts(auditId) {
        const data = auditData[auditId];
        if (!data || !data.hostData) return;
        
-        const currentCtx = document.getElementById('cpuHostChart').getContext('2d');
-        const projectedCtx = document.getElementById('cpuProjectedChart').getContext('2d');
+        const ctx = document.getElementById('cpuDistributionChart').getContext('2d');
        
-        // Calculate statistics
        const currentStats = calculateStats(data.hostData.current);
-        const projectedStats = calculateStats(data.hostData.projected);
        
-        // Update stats displays
        document.getElementById('currentCpuMean').textContent = currentStats.mean.toFixed(1);
-        document.getElementById('projectedCpuMean').textContent = projectedStats.mean.toFixed(1);
-        document.getElementById('projectedCpuStd').textContent = projectedStats.std.toFixed(1);
+        document.getElementById('currentCpuStd').textContent = (currentStats.std * 0.5).toFixed(1);
        
-        // Destroy existing charts
-        if (cpuHostChart) cpuHostChart.destroy();
-        if (cpuProjectedChart) cpuProjectedChart.destroy();
+        if (cpuDistributionChart) cpuDistributionChart.destroy();
        
-        // Chart colors
        const colors = {
            primary: getCSSVar('--color-primary'),
            secondary: getCSSVar('--color-secondary'),
            accent: getCSSVar('--color-accent'),
-            neutral: getCSSVar('-color-neutral'),
+            neutral: getCSSVar('--color-neutral'),
            info: getCSSVar('--color-info'),
            success: getCSSVar('--color-success'),
            warning: getCSSVar('--color-warning'),
            error: getCSSVar('--color-error')
        };
+        const textColor = getCSSVar('--color-base-content');
+        const gridColor = getCSSVar('--chart-grid-color') || textColor;
        
-        // Create current CPU chart
-        cpuHostChart = new Chart(currentCtx, {
+        cpuDistributionChart = new Chart(ctx, {
            type: 'bar',
            data: {
                labels: data.hostData.labels,
-                datasets: [{
-                    label: 'CPU %',
-                    data: data.hostData.current,
+                datasets: [
+                    {
+                        label: 'Current',
+                        data: data.hostData.current.slice(),
                        backgroundColor: colors.info + '40',
                        borderColor: colors.info,
                        borderWidth: 1,
                        borderRadius: 3
-                }]
                    },
-            options: {
-                responsive: true,
-                maintainAspectRatio: false,
-                plugins: {
-                    legend: { display: false },
-                    tooltip: {
-                        callbacks: {
-                            label: (ctx) => `${ctx.parsed.y}% CPU`
-                        }
-                    }
-                },
-                scales: {
-                    y: {
-                        beginAtZero: true,
-                        max: 100,
-                        grid: { drawBorder: false },
-                        ticks: {
-                            callback: value => value + '%'
-                        }
-                    },
-                    x: {
-                        grid: { display: false },
-                        ticks: {
-                            maxRotation: 45
-                        }
-                    }
-                }
-            }
-        });
-        
-        // Create projected CPU chart
-        cpuProjectedChart = new Chart(projectedCtx, {
-            type: 'bar',
-            data: {
-                labels: data.hostData.labels,
-                datasets: [{
-                    label: 'Projected CPU %',
-                    data: data.hostData.projected,
+                    {
+                        label: 'Projected',
+                        data: data.hostData.projected.slice(),
                        backgroundColor: colors.warning + '40',
                        borderColor: colors.warning,
                        borderWidth: 1,
                        borderRadius: 3
-                }]
+                    }
+                ]
            },
            options: {
                responsive: true,
                maintainAspectRatio: false,
+                animation: {
+                    onComplete: function() {
+                        var chart = this;
+                        if (typeof chart.getDatasetMeta !== 'function') chart = chart.chart;
+                        if (!chart || chart._hidingDataset === undefined) return;
+                        var i = chart._hidingDataset;
+                        chart.getDatasetMeta(i).hidden = true;
+                        chart.data.datasets[i].data = chart._cpuOriginalData[i].slice();
+                        delete chart._hidingDataset;
+                        chart.update('none');
+                    }
+                },
                plugins: {
-                    legend: { display: false },
+                    legend: {
+                        display: true,
+                        position: 'top',
+                        align: 'center',
+                        onClick: function(e, legendItem, legend) {
+                            const i = legendItem.datasetIndex;
+                            const chart = legend.chart;
+                            const len = chart.data.labels.length;
+                            if (chart.isDatasetVisible(i)) {
+                                chart._hidingDataset = i;
+                                chart.data.datasets[i].data = Array(len).fill(0);
+                                chart.update();
+                            } else {
+                                chart.data.datasets[i].data = Array(len).fill(0);
+                                chart.show(i);
+                                chart.update('none');
+                                chart.data.datasets[i].data = chart._cpuOriginalData[i].slice();
+                                chart.update();
+                            }
+                        },
+                        labels: {
+                            usePointStyle: true,
+                            pointStyle: 'rect',
+                            boxWidth: 14,
+                            boxHeight: 14,
+                            padding: 12,
+                            color: textColor,
+                            generateLabels: function(chart) {
+                                const datasets = chart.data.datasets;
+                                const labelColor = getCSSVar('--color-base-content');
+                                return datasets.map(function(ds, i) {
+                                    return {
+                                        text: ds.label,
+                                        fillStyle: ds.borderColor,
+                                        strokeStyle: ds.borderColor,
+                                        lineWidth: 1,
+                                        fontColor: labelColor,
+                                        color: labelColor,
+                                        hidden: !chart.isDatasetVisible(i),
+                                        datasetIndex: i
+                                    };
+                                });
+                            }
+                        }
+                    },
                    tooltip: {
                        callbacks: {
-                            label: (ctx) => `${ctx.parsed.y}% CPU`
+                            label: (ctx) => `${ctx.dataset.label}: ${Number(ctx.parsed.y).toFixed(2)}% CPU`
+                        }
+                    },
+                    annotation: {
+                        annotations: {
+                            MeanLine: {
+                                type: 'line',
+                                yMin: currentStats.mean.toFixed(1),
+                                yMax: currentStats.mean.toFixed(1),
+                                borderColor: colors.success,
+                                borderWidth: 2,
+                                borderDash: []
+                            },
+                            upperStdLine: {
+                                type: 'line',
+                                yMin: (currentStats.mean + currentStats.std * 0.5).toFixed(1),
+                                yMax: (currentStats.mean + currentStats.std * 0.5).toFixed(1),
+                                borderColor: colors.error,
+                                borderWidth: 1,
+                                borderDash: [5, 5]
+                            },
+                            lowerStdLine: {
+                                type: 'line',
+                                yMin: currentStats.mean > currentStats.std * 0.5 ? (currentStats.mean - currentStats.std * 0.5).toFixed(1) : 0,
+                                yMax: currentStats.mean > currentStats.std * 0.5 ? (currentStats.mean - currentStats.std * 0.5).toFixed(1) : 0,
+                                borderColor: colors.error,
+                                borderWidth: 1,
+                                borderDash: [5, 5]
+                            }
                        }
                    }
                },
@@ -526,20 +810,27 @@
                    y: {
                        beginAtZero: true,
                        max: 100,
-                        grid: { drawBorder: false },
+                        grid: { drawBorder: false, color: gridColor },
                        ticks: {
+                            color: textColor,
                            callback: value => value + '%'
                        }
                    },
                    x: {
                        grid: { display: false },
                        ticks: {
-                            maxRotation: 45
-                        }
+                            display: false
+                        },
+                        barPercentage: 1,
+                        categoryPercentage: 0.85
                    }
                }
            }
        });
+        cpuDistributionChart._cpuOriginalData = [
+            data.hostData.current.slice(),
+            data.hostData.projected.slice()
+        ];
    }

    // Utility functions
@@ -550,12 +841,58 @@
        return { mean, std };
    }

-    // Initialize
-    document.addEventListener('DOMContentLoaded', () => {
-        const initialAudit = "{{ audits.0.id|default:'' }}";
+    document.addEventListener('DOMContentLoaded', function() {
+        if (SKELETON_MODE) {
+            Promise.all([
+                fetch('/api/stats/').then(function(r) { return r.ok ? r.json() : Promise.reject(r); }),
+                fetch('/api/audits/').then(function(r) { return r.ok ? r.json() : Promise.reject(r); })
+            ]).then(function(results) {
+                renderStats(results[0]);
+                renderAudits(results[1].audits);
+                if (!results[1].audits || results[1].audits.length === 0) {
+                    var cc = results[1].current_cluster;
+                    if (cc && cc.host_labels && cc.cpu_current && cc.host_labels.length) {
+                        auditData["current"] = {
+                            hostData: {
+                                labels: cc.host_labels,
+                                current: cc.cpu_current,
+                                projected: cc.cpu_current
+                            }
+                        };
+                        updateCPUCharts('current');
+                    }
+                }
+            }).catch(function(err) {
+                var msg = err.status ? 'Failed to load data (' + err.status + ')' : 'Failed to load data';
+                var countEl = document.getElementById('auditsCount');
+                if (countEl) countEl.textContent = msg;
+                fetch('/api/stats/').then(function(r) { return r.ok ? r.json() : null; }).then(function(d) { if (d) renderStats(d); });
+                fetch('/api/audits/').then(function(r) { return r.ok ? r.json() : null; }).then(function(d) { if (d && d.audits) renderAudits(d.audits); });
+            });
+        } else {
+            var initialAudit = "{% if audits %}{{ audits.0.id }}{% endif %}";
            if (initialAudit && auditData[initialAudit]) {
                document.getElementById('auditSelector').dispatchEvent(new Event('change'));
                loadSelectedAudit();
+            } else if (!initialAudit && CURRENT_CLUSTER && CURRENT_CLUSTER.host_labels && CURRENT_CLUSTER.host_labels.length) {
+                auditData["current"] = {
+                    hostData: {
+                        labels: CURRENT_CLUSTER.host_labels,
+                        current: CURRENT_CLUSTER.cpu_current,
+                        projected: CURRENT_CLUSTER.cpu_current
+                    }
+                };
+                updateCPUCharts('current');
+            }
+        }
+    });
+
+    document.addEventListener('themechange', function() {
+        if (cpuDistributionChart) {
+            const auditId = document.getElementById('auditSelector').value;
+            cpuDistributionChart.destroy();
+            cpuDistributionChart = null;
+            if (auditId) updateCPUCharts(auditId);
        }
    });
 </script>
@@ -564,10 +901,10 @@
 {% block css %}
 <style>
    .progress {
-    @apply h-1.5;
+    @apply h-2 rounded-full;
    }
    .table td, .table th {
-    @apply px-4 py-2;
+    @apply px-4 py-3;
    }
    .badge-xs {
    @apply px-1.5 py-0.5 text-xs;
--- a/watcher_visio/asgi.py
+++ b/watcher_visio/asgi.py
@@ -11,6 +11,6 @@ import os

 from django.core.asgi import get_asgi_application

-os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'watcher_visio.settings')
+os.environ.setdefault("DJANGO_SETTINGS_MODULE", "watcher_visio.settings")

 application = get_asgi_application()
--- a/watcher_visio/settings.py
+++ b/watcher_visio/settings.py
@@ -10,88 +10,95 @@ For the full list of settings and their values, see
 https://docs.djangoproject.com/en/5.2/ref/settings/
 """

+import os
 from pathlib import Path

 # Build paths inside the project like this: BASE_DIR / 'subdir'.
 BASE_DIR = Path(__file__).resolve().parent.parent

+# Use mock data when no OpenStack/Prometheus access (e.g. local dev)
+USE_MOCK_DATA = os.environ.get("USE_MOCK_DATA", "false").lower() in ("1", "true", "yes")
+

 # Quick-start development settings - unsuitable for production
 # See https://docs.djangoproject.com/en/5.2/howto/deployment/checklist/

 # SECURITY WARNING: keep the secret key used in production secret!
-SECRET_KEY = 'django-insecure-747*14ir*49hoo6c2225)kxr%4^am0ub_s-m^_7i4cctu)v$g8'
+SECRET_KEY = "django-insecure-747*14ir*49hoo6c2225)kxr%4^am0ub_s-m^_7i4cctu)v$g8"

 # SECURITY WARNING: don't run with debug turned on in production!
 DEBUG = True

-ALLOWED_HOSTS = []
+ALLOWED_HOSTS = ["*"]


 # Application definition

 INSTALLED_APPS = [
-    'django.contrib.admin',
-    'django.contrib.auth',
-    'django.contrib.contenttypes',
-    'django.contrib.sessions',
-    'django.contrib.messages',
-    'django.contrib.staticfiles',
-    'dashboard',
+    "django.contrib.admin",
+    "django.contrib.auth",
+    "django.contrib.contenttypes",
+    "django.contrib.sessions",
+    "django.contrib.messages",
+    "django.contrib.staticfiles",
+    "dashboard",
 ]

 # Prometheus settings (environment override recommended)
-PROMETHEUS_URL = "http://localhost:9090"
+PROMETHEUS_URL = "http://10.226.74.53:9090/"
 PROMETHEUS_METRICS = {
-    "cpu_usage": "",
-    "ram_usage": ""
+    "cpu_usage": "rate(libvirt_domain_info_cpu_time_seconds_total)[300s]",
+    "ram_usage": "avg_over_time(libvirt_domain_info_memory_usage_bytes[300s]",
 }

 # Openstack cloud settings
-OPENSTACK_REGION_NAME = "default"
-OPENSTACK_CLOUD = "default"
+OPENSTACK_REGION_NAME = "cl2k1distlab"
+OPENSTACK_CLOUD = "distlab"

 # Openstack watcher endoint settings
 WATCHER_ENDPOINT_NAME = "infra-optim"
 WATCHER_INTERFACE_NAME = "public"

 MIDDLEWARE = [
-    'django.middleware.security.SecurityMiddleware',
-    'django.contrib.sessions.middleware.SessionMiddleware',
-    'django.middleware.common.CommonMiddleware',
-    'django.middleware.csrf.CsrfViewMiddleware',
-    'django.contrib.auth.middleware.AuthenticationMiddleware',
-    'django.contrib.messages.middleware.MessageMiddleware',
-    'django.middleware.clickjacking.XFrameOptionsMiddleware',
+    "django.middleware.security.SecurityMiddleware",
+    "django.contrib.sessions.middleware.SessionMiddleware",
+    "django.middleware.common.CommonMiddleware",
+    "django.middleware.csrf.CsrfViewMiddleware",
+    "django.contrib.auth.middleware.AuthenticationMiddleware",
+    "django.contrib.messages.middleware.MessageMiddleware",
+    "django.middleware.clickjacking.XFrameOptionsMiddleware",
 ]

-ROOT_URLCONF = 'watcher_visio.urls'
+# COOP ignored on non-HTTPS / non-localhost; disable to avoid console warning
+SECURE_CROSS_ORIGIN_OPENER_POLICY = None
+
+ROOT_URLCONF = "watcher_visio.urls"

 TEMPLATES = [
    {
-        'BACKEND': 'django.template.backends.django.DjangoTemplates',
-        'DIRS': [BASE_DIR / 'templates'],
-        'APP_DIRS': True,
-        'OPTIONS': {
-            'context_processors': [
-                'django.template.context_processors.request',
-                'django.contrib.auth.context_processors.auth',
-                'django.contrib.messages.context_processors.messages',
+        "BACKEND": "django.template.backends.django.DjangoTemplates",
+        "DIRS": [BASE_DIR / "templates"],
+        "APP_DIRS": True,
+        "OPTIONS": {
+            "context_processors": [
+                "django.template.context_processors.request",
+                "django.contrib.auth.context_processors.auth",
+                "django.contrib.messages.context_processors.messages",
            ],
        },
    },
 ]

-WSGI_APPLICATION = 'watcher_visio.wsgi.application'
+WSGI_APPLICATION = "watcher_visio.wsgi.application"


 # Database
 # https://docs.djangoproject.com/en/5.2/ref/settings/#databases

 DATABASES = {
-    'default': {
-        'ENGINE': 'django.db.backends.sqlite3',
-        'NAME': BASE_DIR / 'db.sqlite3',
+    "default": {
+        "ENGINE": "django.db.backends.sqlite3",
+        "NAME": BASE_DIR / "db.sqlite3",
    }
 }

@@ -101,16 +108,16 @@ DATABASES = {

 AUTH_PASSWORD_VALIDATORS = [
    {
-        'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator',
+        "NAME": "django.contrib.auth.password_validation.UserAttributeSimilarityValidator",
    },
    {
-        'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator',
+        "NAME": "django.contrib.auth.password_validation.MinimumLengthValidator",
    },
    {
-        'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator',
+        "NAME": "django.contrib.auth.password_validation.CommonPasswordValidator",
    },
    {
-        'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator',
+        "NAME": "django.contrib.auth.password_validation.NumericPasswordValidator",
    },
 ]

@@ -118,9 +125,9 @@ AUTH_PASSWORD_VALIDATORS = [
 # Internationalization
 # https://docs.djangoproject.com/en/5.2/topics/i18n/

-LANGUAGE_CODE = 'en-us'
+LANGUAGE_CODE = "en-us"

-TIME_ZONE = 'UTC'
+TIME_ZONE = "UTC"

 USE_I18N = True

@@ -130,7 +137,7 @@ USE_TZ = True
 # Static files (CSS, JavaScript, Images)
 # https://docs.djangoproject.com/en/5.2/howto/static-files/

-STATIC_URL = '/static/'
+STATIC_URL = "/static/"

 STATICFILES_DIRS = [
    BASE_DIR / "static",
@@ -141,4 +148,14 @@ STATIC_ROOT = BASE_DIR / "staticfiles"
 # Default primary key field type
 # https://docs.djangoproject.com/en/5.2/ref/settings/#default-auto-field

-DEFAULT_AUTO_FIELD = 'django.db.models.BigAutoField'
+DEFAULT_AUTO_FIELD = "django.db.models.BigAutoField"
+
+# Dashboard cache (reduces load on OpenStack/Prometheus and allows concurrent users)
+CACHES = {
+    "default": {
+        "BACKEND": "django.core.cache.backends.locmem.LocMemCache",
+        "LOCATION": "watcher-visio-dashboard",
+    }
+}
+DASHBOARD_CACHE_TTL = 120  # seconds
+SOURCE_STATUS_CACHE_TTL = 30  # seconds (lightweight source-status checks)
--- a/watcher_visio/urls.py
+++ b/watcher_visio/urls.py
@@ -14,10 +14,17 @@ Including another URLconf
    1. Import the include() function: from django.urls import include, path
    2. Add a URL to urlpatterns:  path('blog/', include('blog.urls'))
 """
+
+from django.conf import settings
 from django.contrib import admin
-from django.urls import path, include
+from django.urls import include, path
+from django.views.generic import RedirectView

 urlpatterns = [
-    path('admin/', admin.site.urls),
-    path('', include('dashboard.urls')),
+    path("admin/", admin.site.urls),
+    path(
+        "favicon.ico",
+        RedirectView.as_view(url=settings.STATIC_URL + "favicon.ico", permanent=False),
+    ),
+    path("", include("dashboard.urls")),
 ]
--- a/watcher_visio/wsgi.py
+++ b/watcher_visio/wsgi.py
@@ -11,6 +11,6 @@ import os

 from django.core.wsgi import get_wsgi_application

-os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'watcher_visio.settings')
+os.environ.setdefault("DJANGO_SETTINGS_MODULE", "watcher_visio.settings")

 application = get_wsgi_application()