Pushing metric concurrency, cardinality, compute and retention limits with $1000 of infrastructure
We gave five metrics backends the same budget, the same week of data and the same ten queries, then ran those queries at rising concurrency. At one query at a time, the open source engines looked strong. Under concurrency, two of them stopped answering, and the rest slowed down by an order of magnitude.