Scaling Datastores at Slack with Vitess (via) Slack spent three years migrating 99% of their MySQL query load to run against Vitess, the open source MySQL sharding system originally built by YouTube. “Today, we serve 2.3 million QPS at peak. 2M of those queries are reads and 300K are writes. Our median query latency is 2 ms, and our p99 query latency is 11 ms.”
Recent articles
- Trying out Gemini 3 Pro with audio transcription and a new pelican benchmark - 18th November 2025
- What happens if AI labs train for pelicans riding bicycles? - 13th November 2025
- Reverse engineering Codex CLI to get GPT-5-Codex-Mini to draw me a pelican - 9th November 2025