spring boot 3 observability with grafana stack

observability in spring boot 3 with grafana stack

observability is crucial for monitoring, troubleshooting, and understanding the behavior of applications in production. spring boot 3 provides built-in support for observability features through spring boot actuator and integration with tools like prometheus and grafana.

this tutorial will guide you through setting up observability for a spring boot 3 application and visualizing metrics using the grafana stack.

prerequisites

1. **java jdk 17 or later**: ensure you have java installed. you can check by running `java -version`.
2. **maven**: ensure you have maven installed. you can check by running `mvn -version`.
3. **docker**: for running prometheus and grafana easily, docker is recommended.

step 1: create a spring boot application

- spring web
- spring boot actuator
- micrometer (for metrics)
- spring boot devtools (optional for development)

2. **project structure**: your project structure should look like this:

step 2: implement a simple rest controller

create a simple rest controller to provide some endpoints for monitoring.

step 5: run the application

you can run the application using maven:

step 6: set up prometheus and grafana with docker

step 7: start prometheus and grafana

step 8: configure grafana

1. open grafana in ...

#SpringBoot3 #Observability #python
Spring Boot 3
Observability
Grafana
Monitoring
Metrics
Distributed Tracing
Logging
Prometheus
Application Performance Management
Health Checks
Visualization
Alerting
Microservices
OpenTelemetry
Performance Tuning