Pro Tips — Server Metric Monitoring with Actuator, Prometheus, and Grafana

Just as important as deployment code is an observability system for tracking whether your server is alive and healthy in real time.

1. Enable Spring Boot Actuator

implementation 'org.springframework.boot:spring-boot-starter-actuator'
implementation 'io.micrometer:micrometer-registry-prometheus'

management:
  endpoints:
    web:
      exposure:
        include: health, info, metrics, prometheus
  endpoint:
    health:
      show-details: always

Visit http://localhost:8080/actuator/prometheus to see text-format metrics ready for Prometheus scraping.

2. Prometheus + Grafana via Docker

services:
  prometheus:
    image: prom/prometheus:v2.51.0
    volumes:
      - ./prometheus.yml:/etc/prometheus/prometheus.yml
    ports:
      - "9090:9090"
  grafana:
    image: grafana/grafana:10.4.0
    ports:
      - "3000:3000"
    environment:
      - GF_SECURITY_ADMIN_PASSWORD=admin

# prometheus.yml
global:
  scrape_interval: 15s
scrape_configs:
  - job_name: 'spring-boot-app'
    metrics_path: '/actuator/prometheus'
    static_configs:
      - targets: ['host.docker.internal:8080']

3. Essential Grafana Dashboard Panels

Import the JVM Micrometer Dashboard (ID: 4701) to instantly visualize:

Metric	Purpose
JVM Heap Usage	Early OOM detection
HTTP Request Rate & Response Time (p95, p99)	API performance anomaly detection
DB Connection Pool Utilization	Pool saturation prevention
GC Frequency and Pause Time	Memory tuning signals