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Lumin docs

One container, your whole stack. Logs, metrics, and the user sessions that cause them — in a single dashboard.

Lumin is a small monitoring stack for indie SaaS teams of one to five. The whole instrumentation story is one container next to your services plus one snippet in your browser app — no OpenTelemetry collector, no eleven product tabs, no per-GB roulette.

Quickstart

Get an account, mint an API key, drop the agent into your docker-compose.yml, see logs and metrics flowing within ten minutes.

Read the quickstart →

Install the agent

The full agent reference: compose service, environment variables, Docker socket proxy, networking model.

Agent install →

Stacks

Per-stack snippets for Gin, Spring Boot, Express, FastAPI, and the browser SDK. Use the canonical http.* metric names so different services chart side by side.

Stack guides →

Concepts

The mental model: how projects + API keys scope ingest, how logs are stored and live-tailed, how metric labels and cardinality work, how uptime checks probe from outside.

Concepts →

  1. Is my site up? — HTTP checks probed from Lumin’s servers every 30 s to 15 min, with a per-check degraded threshold. The dashboard opens on them.
  2. Is my service healthy? — Host and container metrics from the agent, plus request rate, error rate, and latency from your own /metrics endpoint.
  3. What’s in the error log? — Structured logs with {timestamp, level, service, message, attributes, trace_id}, live-tailable via SSE.
  4. What are users doing? — Per-session timelines from @lumin-monitor/browser (page / track / identify).
  5. Who tells me when it breaks? — Threshold rules over one metric or a log pattern, delivered to Slack when they fire and again when they recover.

Tag your server logs with the browser’s session id and you can filter them by it — see Linking browser events to server logs. It is a filter you apply, not a link you click.

Signup is open at app.getlumin.dev/signup. Every account starts on the free Hobby tier; the plans page lists the paid tiers.

Logs, host + container metrics, container log tailing, Prometheus /metrics scraping, session timelines, uptime checks, and Slack alerting all work end-to-end.

Not built yet: session replay, any clickable pivot between a session and its logs, and alerts that fire from a failed uptime check — alert rules watch metrics and log patterns only. Funnels exist but are gated to instance admins while they are finished.