Performance & Scale

Compliance Engine is designed to handle large, multi‑cloud environments. This page highlights considerations for performance and scale.

Factors That Affect Performance

Key factors include:

• Number of policies – more policies mean more evaluations per asset.
• Scope breadth – broad scopes touch more objects per policy run.
• Evaluation cadence – frequent runs increase load.
• Complexity of policy logic – heavy calculations or queries per object increase runtime.

Careful design and scheduling can keep evaluations efficient even at large scale.

Best Practices

• Scope thoughtfully – avoid applying broad policies to environments where they are not relevant.
• Batch carefully – follow Cloudaware guidance on batch sizes for policy evaluations to stay within platform limits.
• Stagger schedules – avoid scheduling many heavy policies to run at exactly the same time.
• Pilot new packs – roll out benchmark packs to a subset of accounts before enabling them everywhere.

Monitoring and Tuning

Monitor:

• Evaluation job duration and success rates.
• The volume of findings produced per run.
• Provider rate limits or throttling signals.

If you see performance issues:

• Review scopes and cadences for the heaviest policies.
• Split very broad controls into more targeted policies.
• Coordinate with Cloudaware Support to adjust concurrency or batch parameters where appropriate.