Implementing Observability in Java-Based Projects
summary
Step-by-step Java Spring Boot demo shows logs aggregated with Loki + Grafana via a Logback appender and label markers, metrics exposed with Prometheus scrape endpoint using Spring Actuator and Micrometer (percentiles enabled), and distributed traces exported with OpenTelemetry→Tempo; Redis client and custom Observation spans are instrumented so a single action produces correlated log, metric and trace. Small setup glitches occur but the pipeline ends up visualizing requests, timings and a Redis span successfully.
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chapters (18)
- 0:00Introduction to observability
- 5:04Core observability concepts
- 7:38Why observability matters now
- 8:02Demo setup overview
- 10:10Implementing structured logging
- 12:01Centralized log collection
- 17:56Adding dynamic log metadata
- 20:06Collecting application metrics
- 23:10Metrics with Prometheus
- 26:33Distributed tracing introduction
- 28:23Tracing configuration and sampling
- 30:09Correlating logs and traces
- 34:09Instrumenting Redis calls
- 36:44Custom tracing with observations
- 41:24Observation API benefits
- 42:31Grafana dashboards overview
- 43:33Observability tooling landscape
- 44:40Beyond the basics
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