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7/2/2026
![[Databricks on AWS #3] Compute Governance on Databricks: Instance Pools, Cluster Policies, and Shared Clusters](https://media2.dev.to/dynamic/image/width=1200,height=627,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2Feaej8698qckfeow3wee6.png)
[Databricks on AWS #3] Compute Governance on Databricks: Instance Pools, Cluster Policies, and Shared Clusters
Short summary
Compute governance on Databricks across AWS prevents runaway cloud costs and enforces role-based access using three layers: instance pools (pre-warmed VMs for performance), cluster policies (constraints on instance types and autotermination), and entitlement gates (allow_cluster_create by role). Includes concrete AWS EC2 configurations and policy templates—essential operational knowledge for Databricks platform teams.
- •Three-layer governance model: instance pools → cluster policies → entitlement gates
- •Concrete AWS instance configurations and autotermination rules prevent five-figure bill surprises
- •Role-based access patterns (admin/engineer/analyst) with shared cluster fallback for restricted users
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