Good choice — observability first.

You're focusing on the right area: solid observability gives you faster detection, diagnosis, and recovery when distributed systems misbehave. Below I’ll give a very concise checklist of high-impact items for Java services on Azure, then ask a quick check question to tailor the depth.

Concise checklist (key points only)

Implement these in priority order for the best ROI:

Structured logging — JSON logs with stable fields (request_id, trace_id, service, env, level, latency_ms). Use a logging framework (Logback/Log4j2) with an appender that forwards to Azure Monitor or a log aggregator.
Distributed tracing — propagate trace context (W3C Trace-Context). Use OpenTelemetry instrumentation for Java, export to Azure Monitor / Application Insights or an OpenTelemetry collector wired to your tracing backend.
Metrics — expose Prometheus-style metrics (latency histograms, error rates, request throughput, queue lengths). Use Micrometer (Java) and push to Azure Monitor or Prometheus + Grafana.
Correlation IDs — generate/propagate a request_id and trace_id through all service calls and async flows (HTTP headers, message metadata).
Centralized logs & traces — aggregate logs, metrics, and traces in a single pane (Application Insights, Azure Monitor, or ELK + Jaeger). Ensure retention and searchable fields.
Alerting & SLOs — define SLOs (latency, availability). Create alerts on symptom-level signals (error budget burn, p95/p99 latency, queue growth).
Context-rich logs — include user id, order id, payload summary, and relevant config values; avoid logging sensitive data.
Sampling strategy — use adaptive sampling to control costs while retaining representative traces (higher sampling on errors).
Runbook links in alerts — every alert should link to a short playbook: how to triage, typical fixes, and key dashboards/queries.
Automated correlation — surface related logs, traces, and metrics together (link by trace_id/request_id) in your UI.

All concise. Would you like a short example config/snippet for any of these (structured log layout, OpenTelemetry Java setup, Micrometer + Azure integration, or an alerting rule)?

Pick one example you'd like (or type another):

Learning: Software Architecture