Observability

In the dynamic world of container orchestration, Kubernetes stands out as a leader, offering scalability and flexibility for modern applications. However, with this complexity comes the need for effective observability—centralized logging and monitoring are essential components. This blog post will guide you through the implementation of a comprehensive logging and monitoring system for your Kubernetes cluster. Visual Overview: graph TB subgraph "Kubernetes Cluster" subgraph "Control Plane" API[API Server] ETCD[(etcd)] Scheduler[Scheduler] Controller[Controller Manager] end subgraph "Worker Nodes" Pod1[Pod] Pod2[Pod] Pod3[Pod] end API --> ETCD API --> Scheduler API --> Controller API --> Pod1 API --> Pod2 API --> Pod3 end style API fill:#667eea,color:#fff style ETCD fill:#764ba2,color:#fff Introduction to Centralized Logging and Monitoring Centralized logging and monitoring in Kubernetes involve collecting, storing, and analyzing logs and metrics from all components within your cluster. This setup allows you to gain insights into system health, troubleshoot issues, and ensure compliance. ...