Compute clusters are elastic compute resources that can be created, started, stopped, hibernated and released dynamically to provide the necessary compute resources when needed, and removed when no longer needed. To better understand the behavior of these compute resources, you can leverage the views and underlying tables to gain insight into the state of your compute clusters and the events that changed a compute cluster state.
Use these views for these monitoring purposes:
- Understand how compute clusters are automatically scaling
- Evaluate the compute profile definitions for your compute groups
- Assess whether the compute clusters are of the right instance size
- Make sure your compute clusters are starting up and cooling down appropriately
Foreign table definitions and view definitions reside in the td_metric_svc database.
Learn about the data each view contains: