Zero Cold Starts: How Cazpian Compute Pools Cut Your Spark Bills in Half
· 11 min read
In Part 1 of this series, we exposed the Small Job Tax — the hidden cost of cold starts, overprovisioned clusters, and per-job infrastructure overhead that silently drains data budgets. We showed that for many teams, more than half of their Spark compute spend goes to infrastructure bootstrapping, not actual data processing.
The natural follow-up question: what if you could eliminate that overhead entirely?
That is exactly what Cazpian Compute Pools are built to do.