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Kubernetes Observability Stack
MTTD
Significantly reduced
Alert noise
Cut down
Historical data
Months retained
Problem
Teams lacked visibility into cluster health, application latency, and log correlation, leading to slow incident response and prolonged outages.
Solution
Deployed a unified observability stack with Prometheus for metrics, Loki for logs, and Grafana for dashboards, with SLO-based alerting.
Architecture
Prometheus + kube-prometheus-stack → Loki + Promtail → Grafana dashboards → Alertmanager → PagerDuty/Slack routing → Long-term storage via S3.
Outcome
Reduced mean time to detection and gave on-call engineers correlated metrics and logs in a single pane for faster root-cause analysis.
Key Highlights
- Unified metrics + logs in a single Grafana pane
- SLO-based alerting on error budget burn rate, not raw thresholds
- Long-term storage via Thanos + S3 for months of history
- Golden-signals dashboard for on-call incident response
Technologies
PrometheusGrafanaLokiAlertmanagerKubernetesS3
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