Spring Boot Logging & Monitoring
12 lessons in this section of the Spring Boot tutorial. Work through them in order, or jump to the one you need.
- 1.Logging Basics
Spring Boot configures logging automatically through spring-boot-starter-logging, which bundles Logback as the default implementation behind the SLF4J facade.
- 2.SLF4J
SLF4J (Simple Logging Facade for Java) is the logging abstraction that Spring Boot uses throughout its codebase.
- 3.Logback
Logback is Spring Boot's default logging backend, and for many apps a few application.yml properties are all the configuration you need.
- 4.Log4j2
Log4j2 is a high-performance logging implementation that can replace Logback in Spring Boot.
- 5.Custom Logging
Extend Spring Boot logging the safe way: AOP method logging, correlation IDs, HTTP request logging, a non-blocking custom Logback appender, metrics from logs, and audit…
- 6.Spring Boot Actuator
Spring Boot Actuator adds production-ready management endpoints to any Spring Boot application.
- 7.Health Checks
Health checks report whether a service is capable of handling requests.
- 8.Metrics Monitoring
Metrics are cheap, aggregated numbers (request rates, latency distributions, pool usage, business counters) that tell you when something is wrong and roughly where.
- 9.Prometheus Integration
Prometheus is a pull-based time-series metrics database.
- 10.Grafana Integration
Grafana is the visualisation layer for Prometheus metrics.
- 11.Distributed Logging
Distributed logging in Spring Boot: trace IDs, Micrometer Tracing, OpenTelemetry, correlation IDs, Kafka and async propagation, with config for Boot 3 and 4.
- 12.ELK Stack
The ELK Stack — Elasticsearch, Logstash, and Kibana — is the most widely used log aggregation and search platform for microservices.