Monitor jobs, clusters, and queries with real-time alerts to prevent disruptions and optimize usage.
Track and visualize cost drivers across your Databricks workloads to control and forecast spending.
Get live updates on job execution, errors, and system metrics as they happen.
Track CPU and memory utilization across clusters to detect bottlenecks and over-provisioning.
Monitor authentication events and get alerts for unauthorized access attempts or anomalies.
Audit access and changes to data catalogs and lineage to maintain data governance.
Keep track of system-level health like disk I/O, memory, and background processes.
Ensure unused clusters are auto-terminated to reduce costs and improve security.
Track user role changes and permission escalations across workspaces and notebooks.
Monitor API token usage to prevent abuse and enforce security policies.
Aggregate and analyze logs to trace issues, improve uptime, and strengthen observability.