DevOps & Engineering
Reliability & Observability
A SaaS product team had frequent outages and poor visibility into what was failing; they needed monitoring, alerting, and basic SLOs.
Monitoring, alerting, and SLOs so you know when something breaks.
They had logs and some metrics but no unified view, no clear alerting, and no defined reliability targets. We implemented an observability stack: metrics (including RED and USE where relevant), structured logs, and tracing for key paths. We defined SLOs (availability, latency, error rate) and set up alerting with runbooks so on-call could respond. We also ran a few blameless post-mortems to tune alerts and reduce noise.
Within a few months, they had a clear picture of system health and could detect and resolve issues faster. They’ve since refined SLOs and added one more critical path to tracing.
Key Outcomes
- ·Unified metrics, logs, and tracing; SLOs and alerting in place
- ·Faster detection and resolution of issues
- ·Refined SLOs and extended tracing to more paths