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Here's a rundown of the types of alerts you can create:
Cluster-Level Alerts:
Health: Monitor node availability, YARN, and HDFS. (Example: Alert if the master node goes down.)
Utilization: Track CPU, memory, and disk usage to avoid bottlenecks. (Example: Alert if CPU usage exceeds 80% for 30+ minutes.)
Events: Get notified about cluster creation, deletion, resizing, etc. (Example: Unexpected cluster deletion alert.)
Job-Level Alerts:
Status: Track job success, failure, or cancellation. (Example: Alert on critical ETL job failures.)
Duration: Monitor job runtimes to catch performance issues. (Example: Alert if a job takes longer than 2 hours.)
Resource Usage: Keep an eye on individual job resource consumption. (Example: Alert if a job uses more than 100GB memory.)
Batch and Session Alerts: (Similar to job-level, but focused on batch workloads or interactive sessions)
How to Create Alerts:
Google Cloud Monitoring: The built-in option, found in the Cloud Console's "Alerting" section. You can select Dataproc metrics, set conditions, and configure notifications.
Custom Solutions: For more flexibility, integrate with tools like Prometheus or use Cloud Functions for custom logic based on Dataproc logs/metrics.
Key Considerations:
Granularity: Choose the right level of alerting (cluster, job, etc.) based on your needs.
Thresholds: Set meaningful thresholds aligned with your performance goals.
Notifications: Make sure alerts reach the right people promptly.
Documentation: Keep clear records of your alert rules and response procedures.
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