Metrics are essential in microservices and Kubernetes to monitor performance, detect failures, and optimize resources. Without proper metrics, debugging distributed systems becomes a nightmare!
🔍 What Are Metrics?
Metrics are numerical data points collected over time to measure the health and performance of a system. In microservices and Kubernetes, key metrics fall into these categories:
1️⃣ Infrastructure Metrics (Node-Level)
📌 CPU Usage
📌 Memory Consumption
📌 Disk I/O
📌 Network Traffic
2️⃣ Application Metrics (Service-Level)
📌 Request Count
📌 Response Time (Latency)
📌 Error Rates (4xx, 5xx)
📌 Database Query Performance
3️⃣ Business Metrics (Domain-Specific)
📌 Orders Processed per Minute
📌 Active Users
📌 Transaction Failures
🏗 How to Add Metrics in Microservices (Spring Boot + Micrometer + Prometheus)
1️⃣ Add Micrometer Dependency (Spring Boot supports Micrometer by default)
2️⃣ Enable Prometheus Endpoint (Expose /actuator/prometheus)
3️⃣ Collect Custom Metrics in Your Service
Now, your service exposes Prometheus metrics at:
👉 http://localhost:8080/actuator/prometheus
🚀 Setting Up Prometheus & Grafana in Kubernetes
1️⃣ Deploy Prometheus in Kubernetes
2️⃣ Deploy Grafana for Visualization
🎯 Key Takeaways
✅ Metrics help track performance, failures, and scaling needs
✅ Use Micrometer to expose Spring Boot metrics to Prometheus
✅ Deploy Prometheus & Grafana in Kubernetes for real-time monitoring
🚀 Want to discuss more? Drop your queries in the comments! 💬
Top comments (0)