Load-Based Sizing

Load-based sizing automatically adjusts Yeedu cluster resources after jobs are submitted, based on the workload demand.

How It Works

• When a job is submitted, Yeedu evaluates the current cluster load.
• Based on the number of running and queued jobs, compute resources are adjusted.
• If job load increases → the cluster scales up to Max Instances
• If job load decreases → the cluster scales down to Min Instances

Key Parameters

• Min / Max Instances
• Parallel job execution limits
• Instance type and worker count

This ensures the cluster scales only in response to submitted jobs, providing optimal performance while controlling compute costs.