logging-observability

You enable structured JSON logging in Spring Boot by configuring a logback encoder to format log output, enabling production-grade parsing and aggregation. This approach replaces standard logging with structured JSON output for better observability.

MDC-based tracing works by injecting correlation IDs into the diagnostic context of each request, passing them across microservices. This simplifies debugging by linking distributed log entries to specific request flows.

The best way to add health checks and metrics is by integrating Micrometer with Spring Boot actuator. This combination exposes health, metrics, and observability endpoints across services for production monitoring.

You can use Micrometer and SLF4J together for Spring observability by combining metrics collection with structured logging. SLF4J handles the log output while Micrometer provides the actuator metrics integration.

You need structured logs and correlation IDs when debugging and analyzing performance across Spring Boot microservices. They provide observable performance improvements by linking distributed request flows.