$ slo --define
Reliability & Observability
Move from deploy-time confidence to runtime confidence — health checks that tell the truth, then metrics, alerting and service objectives that reflect user experience.
Most teams know their deploy succeeded and very little else. Deployment success is a build-time signal; reliability is a runtime one, and the gap between them is where incidents live.
Where we start
- Dependency-aware health checks, so readiness reflects whether the service can actually serve
- A metrics baseline covering the signals that map to user experience — error rate, latency, saturation
- Alerting on symptoms rather than causes, to keep the on-call signal-to-noise workable
- Deployment frequency, lead time, change failure rate and recovery time as delivery measures
We are explicit about sequencing here: health checks and rollback paths come first because they change incident outcomes immediately. A full metrics and alerting stack is the phase that follows, and we scope it as such rather than presenting it as something you get on day one.
Ready to talk reliability & observability?
Bring your current setup — we'll bring a migration path.