Temperstack

Skip the guesswork and start from the telemetry you already own. Connect metrics, traces, and logs from Prometheus, Datadog, New Relic, CloudWatch, OpenTelemetry, and your CI/CD in a few clicks. Temperstack builds a live map of services, namespaces, and dependencies across Kubernetes and VMs, then highlights the paths users touch most. Use the guided SLO builder to define availability and latency targets from existing queries or templates. Set burn-rate policies, align paging thresholds to business impact, and route alerts to Slack or Microsoft Teams with on-call schedules. Link Jira or Linear so alerts create tickets that already include graphs, tags, owners, and recent deploys. From the first hour, the overview ranks risk by error-budget burn, change velocity, and saturation, so you know exactly what needs attention next.

On call, pivot to the incident console to triage fast. See a unified timeline of alerts, deploys, config changes, and scaling events. Move from a hot service to its upstream/downstream peers with a click to assess blast radius. Jump from a trace to related logs without retyping filters, or open the exact Grafana panel from the alert payload. Use cause candidates suggested from change proximity, regression fingerprints, and common failure themes. Trigger runbook steps inline—flush queues, recycle a pod, drain a node, or toggle a feature flag—while Temperstack documents actions and results. If a rollout is implicated, compare canary vs. baseline and hit rollback via your pipeline integration. When traffic stabilizes, capture contributing factors, link the fix commit, and let MTTR and reliability KPIs update automatically.

Before a release, run the readiness checklist. Temperstack annotates pipelines with change risk scores based on ownership, recent incidents, and dependency health. Use the canary judge to compare golden signals and SLO impact before promoting. Spin up synthetic probes to catch regional or DNS issues early, and run chaos drills in staging to validate fallbacks and timeouts. Capacity forecasts project headroom by CPU, memory, and critical indices so you can right-size before peak events. Cost burn overlays on reliability dashboards, helping you weigh performance gains against spend. Schedule freeze windows and error-budget guardrails that pause risky deploys when protection thresholds are crossed.

After the fire, improve the system. The post-incident workspace pulls the full timeline, graphs, traces, and chat transcripts into a single report. Assign follow-ups directly to engineering backlogs with owners and due dates, and track action completion against recurrence. Promote effective fixes into reusable playbooks that auto-suggest next time. Automate routine remediation with run tasks, webhooks, or Functions-as-a-Service triggers. Manage configuration as code via the API and Terraform provider so SLOs, alerts, and routing are versioned and peer-reviewed. Enforce least-privilege access with fine-grained roles and capture every change in the audit log. The weekly planning view surfaces the top reliability opportunities—flaky tests, noisy alerts, slow endpoints—so the team can ship improvements without waiting for the next outage.