Monitoring avec Prometheus et Grafana

Dans ce chapitre, nous allons explorer la mise en place d'un système de monitoring complet avec Prometheus et Grafana. Nous verrons comment collecter, stocker et visualiser les métriques de nos microservices.

1. Configuration de Prometheus

Démarrage de Prometheus

docker run -d -p 9090:9090 \
  -v /path/to/prometheus.yml:/etc/prometheus/prometheus.yml \
  prom/prometheus

Configuration de base

# prometheus.yml
global:
  scrape_interval: 15s
  evaluation_interval: 15s

scrape_configs:
  - job_name: 'spring-boot-app'
    metrics_path: '/actuator/prometheus'
    static_configs:
      - targets: ['localhost:8080']

2. Configuration des Applications

Dépendances

<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter-actuator</artifactId>
</dependency>
<dependency>
    <groupId>io.micrometer</groupId>
    <artifactId>micrometer-registry-prometheus</artifactId>
</dependency>

Configuration Actuator

# application.yml
management:
  endpoints:
    web:
      exposure:
        include: health,info,metrics,prometheus
  endpoint:
    health:
      show-details: always
  metrics:
    tags:
      application: ${spring.application.name}
    distribution:
      percentiles-histogram:
        http.server.requests: true
      sla:
        http.server.requests: 10ms, 50ms, 100ms, 200ms, 500ms