Beyond Elk: Lightweight and Scalable Cloud-Native Log Monitoring

ELK Overview ​ Back in the days when options were limited, Elasticsearch became the preferred solution for log storage and query due to its excellent full-text search capabilities. Later on, elastic.co built the ELK ecosystem around Elasticsearch, providing a complete collection, storage, and analysis ecosystem. The later addition of the beats components further improved the shortcomings in data collection, making data collection more flexible and lightweight. As a result, ELK has become the de facto answer for log collection solutions. As we enter 2025, various new programming methods and deployment paradigms are being widely adopted. Compared to more modern solutions, Elasticsearch's relatively old technical and architectural design gradually reveals some drawbacks: 1. Soaring Storage Costs: The More Logs, The Higher the Cost ​ With the increasing complexity of software systems, the volume of logs produced by applications is growing exponentially. To troubleshoot root causes, we ... Read full article.