Product metrics for developers
summary
Shows how to instrument a feature end-to-end: log success and failure events to amplitude to calculate a success rate, push counters to prometheus and render dashboards in Grafana, and build a Redash query that alerts when the percentage of unknown errors rises. Gives code-level hooks, dashboard screenshots, and the workflow: measure, deploy a retry or classification fix, then see the unknown-error percentage drop and alerts quiet down.
AI-written summary · about
chapters (9)
- 0:00Introduction
- 2:47Product approach
- 5:05Product metrics
- 8:54Amplitude
- 13:21Visualizing the data
- 14:21Redash tool
- 16:30Social network analytics
- 17:44How it works
- 20:22Conclusion
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