Kubernetes log aggregation

A blog post explores the implementation of a simple log aggregation solution for Kubernetes clusters, focusing on a Node.js microservice named Loggy. Unlike complex setups involving Fluentd and Elasticsearch, the post presents a lightweight approach using Kubernetes DaemonSets to deploy Loggy across nodes, allowing it to access and forward logs from containers to an external log collector. The post provides practical guidance on setting up the environment, including configuring necessary tools and deploying sample pods to generate logs. It explains the logging architecture within Kubernetes, demonstrating how logs are collected and stored on nodes and highlighting the use of npm packages like globby, node-tail, and chokidar to track and parse log files. Additionally, it emphasizes the importance of excluding system logs to focus on application-specific data and suggests using HTTP POST requests to send logs to an external collector. The post concludes by encouraging further development of Loggy to store logs in a more accessible format for viewing and searching, offering resources and example code to facilitate this learning process.