EFK on Kubernetes - Introduction

Understanding the EFK Stack
The EFK stack collects, stores, and visualizes logs from applications running in Kubernetes.
Components:
Elasticsearch : Stores and indexes log data for quick searching.
Fluentd : Collects and forwards logs to Elasticsearch.
Kibana : Provides visualizations and analytics for logs.
Why EFK?
Centralized Logging: Aggregates logs from all nodes and pods.
Scalability: Handles large amounts of log data.
Visualization: Kibana provides dashboards for log analysis.
Commonalities Among EFK Components
Component | Role | Default Port |
Elasticsearch | Stores & indexes logs | 9200 |
Fluentd | Collects & ships logs | N/A |
Kibana | Visualizes logs | 5601 |
Conclusion
The EFK stack provides a scalable, efficient, and centralized logging solution for Kubernetes environments. By deploying Elasticsearch, Fluentd, and Kibana, organizations can streamline log management, monitor system performance, and troubleshoot efficiently.
Subscribe to my newsletter
Read articles from Aditya directly inside your inbox. Subscribe to the newsletter, and don't miss out.
Written by

Aditya
Aditya
DevOps Engineer with expertise in AWS, Docker, Kubernetes, and Terraform. Focused on security and automation to improve system reliability.