The Observability Stack We Install on Every Engagement
Jun 2026
Most production incidents aren't caused by bad code — they're caused by not knowing what the system is doing until a customer calls. Observability isn't a nice-to-have; it's the difference between a 5-minute fix and a 5-hour outage.
The three pillars, wired together
Metrics tell you something is wrong. Logs tell you what happened. Traces tell you where. On their own each is useful; correlated together they let you go from alert to root cause in minutes. We wire all three to a shared set of service and trace identifiers from the start.
What we set up on day one
- RED metrics (rate, errors, duration) on every service boundary.
- Distributed tracing across synchronous and async flows.
- Structured, searchable logs with consistent correlation IDs.
- Alerts on symptoms (user-facing), not just causes (CPU, memory).
- Dashboards that answer "is the system healthy?" at a glance.
Alert on symptoms, page on impact
A alert that fires when CPU is high but users are fine trains your team to ignore alerts. We alert on what users experience — elevated error rates, slow checkouts, failed payments — and route lower-level signals to dashboards, not pagers. The result: when the phone buzzes, it matters.
Install this stack before launch and launch day becomes a non-event. Incidents, when they come, resolve in minutes instead of hours.