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Beyond Elk: Lightweight and Scalable Cloud-Native Log Monitoring
This article explores the growing limitations of the ELK stack in modern log storage scenarios and introduces GreptimeDB as a next-generation log database with advantages in both architecture and user experience. By combining Vector with GreptimeDB, we demonstrate a complete pipeline—from log collection and storage to parsing and querying.
Comparing multiple log databases, we found that Elasticsearch's hardware resource consumption is the highest under the same write request pressure (assuming it can handle the volume without crashing). Compared to traditional solutions, GreptimeDB's storage-compute separation architecture and cloud-native design make it a highly suitable modern time-series database for log storage. Built in Rust and optimized for cloud-native environments, it provides unified storage and processing for metrics, logs, and traces—delivering sub-second insights from edge to cloud —at any scale.
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