What's changed: Created Professional Cloud Developer Chapter 6 (Domain 4 "Integration" part 2: observability = Google Cloud Observability/metrics (Monitoring)/logs (Logging)/traces (Trace)/trace-ID correlation/Gemini Cloud Assist; troubleshooting = Error Reporting aggregation, isolate metrics→traces→logs, fix/rollback).
6.1Observability (metrics, logs, traces)
Understand instrumenting code with Google Cloud Observability, collecting metrics/logs/traces, investigating with Cloud Logging, distributed tracing and correlating spans by trace ID with Cloud Trace, and AI-assisted observability.
To know what happens in production, make apps observable. With Google Cloud Observability, instrument the three pillars: metrics, logs, and traces.
6.1.1Instrumenting the three pillars
The three pillars are metrics (numeric trends; Cloud Monitoring), logs (recorded events; Cloud Logging), and traces (request paths; Cloud Trace). Instrument code to emit these and monitor via dashboards and alerts. Distinguish "numeric monitoring/alerts = metrics (Monitoring)," "recorded events/search = logs (Logging)," and "request paths = traces (Trace)."
6.1.2Investigation and correlation
Investigate failure causes by searching logs in Cloud Logging. In distributed systems, visualize the spans of services a request traversed with Cloud Trace, and correlate logs and traces by trace ID to pinpoint which service is slow or failing. Gemini Cloud Assist accelerates interpreting logs/metrics and root-cause analysis. Map "follow cross-service paths = Cloud Trace spans" and "join logs and traces = trace ID."
Common: symptom → tool. E.g., "monitor numeric trends and alert" = metrics (Cloud Monitoring); "search events for root cause" = Cloud Logging; "follow cross-service latency" = Cloud Trace; "join logs and traces" = correlate by trace ID; "accelerate root-cause with AI" = Gemini Cloud Assist.
Watch the mix-ups: (1) Do not confuse the three pillars metrics (numbers)/logs (events)/traces (paths). (2) For distributed latency, correlation by trace ID is key. (3) Without instrumentation there is no observability (hard to add later).
6.1.3Section summary
- Three pillars = metrics (Monitoring)/logs (Logging)/traces (Trace), instrumented
- Root cause = Cloud Logging; cross-service paths = Cloud Trace spans; correlate via trace ID
- Gemini Cloud Assist for AI-assisted observability
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Quick check
(just a quick review)Q1. To investigate failure causes by searching logs, which service best fits?
Q2. In a distributed system, to follow per-service latency along a request path, what do you use?
Q3. To join logs and traces across multiple services, what do you use?
Q4. To monitor numeric trends and alert on threshold breaches, what do you use?
Q5. Which is the correct set of the three observability pillars?
Q6. To accelerate interpreting logs/metrics and root-cause analysis with AI, what do you use?
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