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How TimescaleDB Helped Cloudflare Scale Analytics and Reporting

Blog post from Tiger Data

Post Details
Company
Date Published
Author
Robert Cepa
Word Count
4,655
Language
English
Hacker News Points
-
Summary

Cloudflare opted for TimescaleDB over ClickHouse to enhance the analytics and reporting functionalities of its Zero Trust product suite, emphasizing TimescaleDB's seamless integration with PostgreSQL and its efficiency in handling structured log data. TimescaleDB's native support for time-series data and PostgreSQL compatibility allowed Cloudflare's Digital Experience Monitoring (DEX) team to scale and maintain systems effortlessly, aligning with Cloudflare's preference for streamlined systems. Initially, DEX leveraged a minimal architecture with PostgreSQL to manage fleet status monitoring and synthetic tests, making it simple to deploy quickly. As the project scaled, TimescaleDB was adopted for its advanced features like automatic partition management, compression, and real-time data pre-aggregation, which enhanced query performance and data retention. This transition allowed Cloudflare to simplify its infrastructure while maintaining high performance, demonstrating TimescaleDB's balance between simplicity and the specialized capabilities of an OLAP system.