Full visibility into every Glue job: run history, DPU usage, failure root causes, execution timing, and catalog health metrics.
AWS Glue doesn't have built-in alerting for job failures, duration anomalies, or DPU overruns. CloudWatch alarms require manual setup per job. Without observability, your pipelines fail at 2am and nobody knows until an analyst reports a broken dashboard.
Track every Glue job execution: start time, duration, exit status, and error message. Failures trigger immediate alerts to your team.
Monitor DPU-hours per job over time. Identify jobs that are using more capacity than expected and costing more than budgeted.
Baseline normal execution time per job. Get alerted when a job runs significantly longer than its historical average , a common early sign of data skew or upstream issues.
Monitor Glue Data Catalog for stale table definitions, broken partition projections, and schema mismatches between catalog and actual data.
Visualize which jobs depend on which tables and S3 paths. Understand blast radius when an upstream job fails.
Identify jobs with recurring failures or high retry rates. Surface the most unstable jobs in your pipeline fleet.
CloudFormation creates scoped read access to Glue Job APIs, Glue Crawlers, and the Glue Data Catalog.
Register the Glue jobs and crawlers you want to observe. Supports wildcards for monitoring all jobs in a namespace.
Define failure alert routing, duration thresholds, and DPU budget limits per job or job group.
Job run timelines, DPU usage charts, failure rate trends, and dependency maps are available immediately.
All permissions are read-only. No write, start, or stop actions included.
Works with your existing AWS setup. Read-only access. No agents. No data exposure.
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