Edge-to-cloud analytics just got practical. Two real-world posts show how to scale with ClickHouse for web logs and how to run a Cloudflare D1-backed queue for 10k users on the free tier. [1][2]
ClickHouse tuning for logs The ClickHouse blog covers compression and data ordering to boost ingestion and query speed; with a solid Nginx pipeline you can see up to 2x improvements. [1]
Cloudflare D1 distributed queue—10k users on free tier - D1 SQLite with atomic operations for distributed queue. [2] - Atomic claim and idempotency reduce race conditions. [2] - Cloudflare Workers fan-out and a Rust proxy for IP isolation. [2] - Cost: effectively $0/month for 10k users. [2]
Two pragmatic blueprints emerge: optimize log storage with ClickHouse and keep queues cheap with Cloudflare D1. [1][2]
References
Performance optimizations for storing web server access logs in ClickHouse
Discusses improving ClickHouse performance for web server access logs via compression, data ordering, ingestion throughput, and faster access logging measures.
View sourceShow HN: Architecting for 10k users on Cloudflare's free tier
Examines Cloudflare D1-backed distributed queue for 10k users; atomic operations, idempotency, cost considerations, and IP isolation strategy in practice design.
View source