What's changed: Created Professional Cloud DevOps Engineer Chapter 4 (Domain 4 "Observability": Ops Agent/OpenTelemetry/Managed Service for Prometheus/Cloud Audit Logs/VPC Flow Logs, log optimization, synthetic monitors, log-based metrics, Logs Explorer, BigQuery/Pub/Sub/Cloud Storage export, PII/PHI redaction; Metrics Explorer/PromQL dashboards/alerting policies/PagerDuty, distributed tracing Cloud Trace/OpenTelemetry, trace-log correlation, troubleshooting).
4.2Metrics, dashboards, alerts, and distributed tracing
Understand metric analysis via the Metrics Explorer, dashboards (PromQL, sharing, playbooks), alerting policies (SLI/SLO, cost) with third-party integration (e.g., PagerDuty), distributed tracing (OpenTelemetry, Cloud Trace, trace-log correlation), and troubleshooting infrastructure/CI-CD/app/performance/latency issues.
Collected telemetry only pays off when turned into visibility, awareness, and root-cause tracing. Visualize metrics, alert smartly, and follow latency causes via distributed tracing.
4.2.1Metrics, dashboards, and alerts
Explore metrics with the Metrics Explorer and collect them into dashboards (query with PromQL, share, attach playbooks). Set alerting policies on symptoms (SLI/SLO breaches, cost overruns) to avoid noise. Route notifications via webhooks to third-party tools like PagerDuty. Map "chart overview = dashboards" and "notify on SLO breach = alerting policies."
4.2.2Distributed tracing and troubleshooting
Trace microservice latency with distributed tracing (instrument with Cloud Trace/OpenTelemetry). Visualize a request as a waterfall of spans to find the slow call. Correlate the trace ID with structured logs to jump from a slow request to its detailed logs. Troubleshoot across layers—infrastructure/CI-CD/app/observability/performance-latency—by cross-referencing logs, metrics, and traces. Map "microservice latency cause = distributed tracing."
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