Downtime costs more than money - it costs customer trust.
For SREs, every second of downtime means lost transactions, SLA breaches, and reputational damage. The key to resilience isn’t avoiding failure (impossible) - it’s detecting, diagnosing, and remediating fast.
This is the SRE Playbook for turning downtime into uptime.
1. Detect Fast - The Right Alerts
• Use Prometheus alerting rules that focus on symptoms, not noise.
• Example: alert when user-facing latency spikes, not just CPU usage.
- alert: HighLatency
expr: histogram_quantile(0.99, rate(http_request_duration_seconds_bucket[5m])) > 0.5
for: 2m
labels:
severity: critical
annotations:
summary: "p99 latency > 500ms"
Why: Customers feel latency before you see CPU graphs.
2. Diagnose Fast - Unified Observability
• Metrics show what broke.
• Logs explain why.
• Traces show where.
• Without correlation, incidents become detective work.
Solution: Centralize telemetry with OpenTelemetry + Prometheus + Loki + Tempo, then let KubeHA correlate in real time.
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Read More: https://kubeha.com/from-downtime-to-uptime-sre-playbook/
Follow KubeHA Linkedin Page: https://lnkd.in/gV4Q2d4m
KubeHA's introduction: 👉 https://www.youtube.com/watch?v=PyzTQPLGaD0
Top comments (2)
Great article
Thanks