Instrument services with structured logging, Prometheus metrics, and OpenTelemetry tracing. Build Grafana dashboards, write Prometheus alerting rules, run k6 load tests, and plan infrastructure capacity.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
Set up or improve observability for a service or platform component.
---
## Interactive Wizard (fires when no arguments are provided)
When invoked with no arguments, ask before proceeding:
**Q1 — Mode?**
```
What do you need?
1. instrument — add structured logs, Prometheus metrics, and OTel tracing to a service
2. dashboard — create a Grafana RED/USE dashboard for a service
3. alert — write Prometheus alerting rules for a service
4. slo — define SLIs, error budgets, and SLO burn-rate alerts
5. loadtest — write and run a k6 load test
6. capacity — estimate resource requirements and HPA configuration
Enter 1–6 or mode name:
```
**Q2 — Context** (after mode selected):
- **instrument**: `What language/framework and which metrics/tracing backend (Prometheus, Datadog, Jaeger, Tempo)?`
- **dashboard**: `Service name and which signal to lead with — request-based (RED) or resource-based (USE)?`
- **alert**: `Service name and what SLIs matter most — error rate, latency, availability?`
- **slo**: `Service name, expected availability target (e.g. 99.9%), and current p95 latency baseline:`
…
The line at the top of this page pins the label git:20261011.e8166a5, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
GET https://markdownregistry.com/api/v1/artifacts/art_zk7kydnzwytjysp2
GET https://markdownregistry.com/api/v1/resolve?ref=nitinjain999/platform-skills/observability
GET https://markdownregistry.com/api/v1/blob/f31d9b273e429cf68b8792ae7975842974a1b6192b6473c7d3064b21ea269e4c
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
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