Observability plan for a service

Plan for metrics, logs, traces, and alerts for a new service — what to instrument from day 1.

Stops "we don't know what broke" incidents.

DevOps & SREobservabilitysre

The prompt

Copy this into ChatGPT, Claude, Gemini or any assistant you already use — then paste your own service + stack underneath it.

Plan observability for the service. Output:

**Metrics** (RED: rate, errors, duration; USE for infra). For each: name, unit, dimensions, target.
**Logs** (what to log, log levels, structured format)
**Traces** (key spans, baggage)
**Alerts** (SLO-based, with thresholds + paging rules)
**Dashboards** (top-3 dashboards to build first)

Rules:
- SLOs not SLIs — define what users care about.
- Don't over-alert; page only on user-impacting.

Or run it here

Service + stack

0/8000

Output

Output will appear here after you click Run.

Or run in your favourite chatbot

Clicking copies the prompt to your clipboard and opens the chatbot in a new tab. Gemini doesn't accept URL params — paste manually with Ctrl/Cmd+V.

Incident runbook

Drafts an on-call runbook for a specific failure mode — detect, diagnose, mitigate, recover.

Production Dockerfile

Generates a multi-stage, small-image Dockerfile for a given stack.

CI pipeline (GitHub Actions)

A complete CI pipeline YAML — lint, test, build, scan, deploy — for a Node/Python/Go service.

Useful log query

Writes a log query (Datadog / Splunk / Loki / CloudWatch) to surface what you need.

Cron expression → English

Decodes any cron schedule string into when it actually runs.

Terraform module skeleton

Skeleton for a Terraform module — main, variables, outputs, README.

Browse the full free AI prompt library or see more devops & sre prompts.