Key takeaways
- Cover the four golden signals plus business-critical paths
- Alert on symptoms users feel - not every CPU blip
- Tie errors to releases so rollback is obvious
Feature velocity without observability is gambling. Day-one monitoring doesn’t need a full platform engineering org - it needs a minimum set that answers: is it broken, for whom, and since when?
Minimum viable monitoring
- Uptime check on the real production URL
- Error tracking with source maps and release versions
- Latency for critical API routes (p95, not just average)
- Saturation signals: queue depth, DB connections, rate limits
- One business metric: signups, checkouts, or jobs completed
4
Golden signals: latency, traffic, errors, saturation
p95
Latency percentile that catches pain
1
Business KPI on the same dashboard
Alerts people will actually answer
“If every alert pages someone, eventually no alert will.”
- 01
Instrument critical paths
Auth, payment, and the core job-to-be-done get explicit spans or logs.
- 02
Tag releases
Every deploy marks a version so regressions are obvious in the timeline.
- 03
Write the first runbook
For each page-worthy alert: what to check, how to mitigate, when to roll back.
Good enough to grow
You can deepen tracing later. On day one, aim for a team that knows within minutes whether launch is healthy - and can roll back without archaeology.
