Start by wiring Temperstack into the telemetry you already trust. Connect Prometheus, Datadog, CloudWatch, New Relic, Loki, or OpenTelemetry, and let Temperstack auto-discover services, dependencies, and ownership. Create SLOs for key user journeys, pick the signals (latency, availability, saturation, quality), and set burn-rate windows that fit your on-call model. Map services to teams and on-call rotations (PagerDuty, Opsgenie), define routing rules by severity and business impact, and dry-run alerts to validate noise levels before go-live. In under an hour, you have a live service map, clean alert policies, and clear accountability.
When a page hits, open the incident console to get a single, prioritized feed. Alerts are deduplicated and scored by user impact and error-budget burn, so you focus on what matters first. Each incident shows a timeline that merges metrics, logs, traces, recent deploys, config changes, and upstream/downstream health. Guided triage cards propose ready-to-run queries and checks; pin evidence as you go. With one click, execute a vetted runbook, toggle a feature flag, roll back a canary, flush a cache, or restart a pod—actions are gated by role and logged. Update Slack and the status page directly from the console, spin up a bridge, and file a Jira ticket with context embedded. After stabilization, generate a post-incident report with the full timeline, contributing factors, and follow-ups; owners and due dates sync to your tracker automatically. more
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