See what your services are doing—before customers tell you

Design instrumentation and feedback loops that expose the health, performance, and behavior of distributed systems.

Observability stack

Capture the signals you rely on—logs, metrics, traces, events—and how they flow through your tooling. Clarify ownership and alert routing.

Observability stack illustrating signal collection, storage, visualization, and response — Highlight platform capabilities and the seams where teams plug in instrumentation.

Golden signals

Service health

Latency, traffic, error rate, saturation.
Business KPIs that indicate customer impact.
Dependencies and external SLA monitoring.

Actionable alerts

Route to the teams that can fix the issue.
Include runbook links, recent deployments, and suspected dependencies.
Auto-silence noisy alerts and track MTTR trends.

Incident review

Close the loop with structured reviews that focus on learning instead of blame.

Incident review timeline covering detection, response, mitigation, learnings, and actions — Annotate key events, hypotheses, and follow-up experiments.

Feed these learnings into your Resilience Engineering playbook to harden recovery patterns.