Deploying CyberSec Dashboard with Kubernetes and Observability
How cybersec_dashboard packages API and UI deployment with Kubernetes manifests, ServiceMonitor integration, and OTEL/Loki-ready telemetry.
Why This Deployment Story Is Useful
cybersec_dashboard is not only a local script set. It now includes a full deployment scaffold:
- Dockerfiles for API and UI (
deploy/docker/) - compose stack (
deploy/compose/docker-compose.yaml) - Kubernetes base manifests (
deploy/kubernetes/base/)
That gives a realistic path from local development to clustered operation.
Observability Is Built In
The stack exposes and documents:
- Prometheus scrape target (
/metrics) - OTLP tracing configuration
- optional Loki export path
- ServiceMonitor manifest in Kubernetes base
This aligns nicely with the broader observability direction used in rpi_kubernetes.
Why This Matters Operationally
Security analytics systems degrade quickly without visibility. A deployment model that includes metrics and trace plumbing from day one is much easier to support than retrofitting telemetry later.
The README also includes practical env controls for cache, inference, and exporter endpoints, which makes tuning safer in real environments.
Practical Rollout Path
A reliable rollout pattern here is:
- local compose smoke tests
- Kubernetes base apply in isolated namespace
- Prometheus target and WebSocket health checks
- dashboard-level validation with live event flow
That sequence catches most integration issues early.
Practical Takeaway
If you are shipping a security dashboard with ML components, include deployment and observability as first-class project features. It is the difference between a demo and an operable system.