← Site Reliability Engineering
Observability
Turn opaque systems into ones you can ask questions of — and get answers.
When something's slow or broken, the only question that matters is 'why?' — and dashboards full of CPU graphs rarely answer it. I instrument your systems with metrics, structured logs and distributed tracing so you can ask new questions of production without shipping new code.
Done well, observability turns a multi-hour, multi-team incident hunt into a few minutes of following the evidence to the root cause.
What's included
- Metrics pipelines (Prometheus, Datadog)
- Structured, queryable logging
- Distributed tracing across services
- Dashboards that surface what matters
- Correlation IDs & end-to-end visibility
Related articles
SLOs that don't lie: measuring what users actually feel
Most SLOs are green while users suffer — they measure the system, not the person. How to build SLIs from real user journeys, give each journey the target it deserves, turn the gap into a team-owned error budget, and wire alerts that drill straight to the cause.
Designing alerts nobody ignores
Noisy alerts train your team to ignore the real one. A deep, practical guide to symptom-based, multi-window multi-burn-rate SLO alerting — the burn-rate maths, copy-pasteable PromQL, and the on-call process that makes pages trustworthy again.
Site Reliability Engineering
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