5 posts · 1 company · newest first
How we tracked down petabytes of orphaned objects in our ClickHouse clusters, recovered tens of thousands of dollars in monthly storage costs, and hardened our cleanup and recovery procedures after almost losing data along the way.
A customer needed semantic search over 20 million embeddings. Their first attempt timed out. Three changes turned it into sub-200ms queries. Here's what we learned.
How a GNN-based platform uses Tinybird to map African internet routing inefficiencies and predict where new IXP peering agreements would have the highest regional impact.
We've been testing ClickHouse®'s experimental Alias table engine. We found bugs in how DDL dependencies are tracked and in how materialized views are triggered and shipped a fix upstream for the former.
Most schema changes don't need a full table rebuild. We added ALTER TABLE support to Tinybird deployments so simple changes deploy in seconds, not minutes.