ODOCK.AI
Self Host

Monitoring Layer

Monitoring Layer

The observability layer is optional, but it becomes important when teams want platform-level visibility into the gateway itself, not only request-level reporting inside the Odock UI.

What It Adds

A self-hosted deployment can include:

  • Prometheus for metrics
  • Loki and Promtail for logs
  • Tempo for traces
  • Grafana for dashboards and investigation
  • Alertmanager for notifications
  • exporters and collectors for host, container, Redis, and Postgres telemetry

Why It Matters

This layer helps operators answer a different set of questions than the main Odock product UI:

  • is the gateway healthy
  • are infrastructure resources under pressure
  • where is latency accumulating
  • are background systems behaving normally
  • should alerts be triggered for the platform team

Odock UI Vs Platform Monitoring

The Odock UI focuses on request-level governance, usage, routing, and audit visibility.

The monitoring layer focuses on infrastructure health, telemetry pipelines, and operational investigation across the self-hosted stack.

Both are useful, but they serve different audiences:

  • platform operators usually care about logs, metrics, traces, and alerts
  • product, finance, and governance teams usually care about usage records, routing, and policy outcomes

Retention And Storage

Retention, storage, and archival choices depend on your own operating model. Some teams want a short troubleshooting window, while others need longer retention for audit or operational analysis.

Contact Us

If you want to explore the self-hosted monitoring model, contact us. We can explain what is included for testing users and how it maps to client environments.

On this page