# Sizing a cluster for your workload

Estimating worker count from the shape of your work, rather than guessing.

Source: https://university.eugo.io/videos/sizing-a-cluster

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- Level: Intermediate
- Duration: 5m
- Topics: performance, billing-plans
- Status: not yet recorded — the transcript below covers the same material

## What this video covers

Start from the number of independent units of work and how long one takes. If you have a thousand partitions at two seconds each, that is roughly thirty-three minutes of serial work; sixteen workers should bring it near two minutes, minus overhead. Scaling stops paying when per-task overhead approaches per-task work, or when a shared resource becomes the constraint: object storage, or a single large file.