Event log
Event log
The Event log provides a comprehensive view of all Workload Autoscaler actions in your cluster. You can access it from the left-hand menu under the Workload autoscaler category.
Understanding the Event log
The Event log captures several types of events that help you monitor and troubleshoot workload optimization:
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Request updated events: Track changes to resource requests, including:
- When the change was applied
- Which workload was affected
- Previous and new request values
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Resource surge events: Notifications when the platform detects unusual spikes in resource usage compared to established patterns.
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Recommendation generated events: Records of a resource adjustment recommendation being generated by the system.
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Configuration changed events: Records of workload configuration changes, including:
- Timestamp
- Affected workload
- The user who made the change
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OOM kill events: Out-of-memory incident tracking with:
- Occurrence timestamp
- Affected workload
- Memory usage data
Analyzing events
Each event offers two ways to analyze what happened.
Visual view
Click on an event in the list to view it in context on a timeline:
You can adjust the history window to view the desired amount of context for the workload by adjusting the period in the top right:
- Last hour
- Last 24 hours
- Last 7 days
JSON view
You can examine the raw event data in JSON format for detailed troubleshooting. This provides complete transparency into the exact changes made and the reasoning behind them.
To enter the raw JSON view:
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Expand the chosen event and click on the JSON icon in the top-right of the expanded cell:
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This will switch the event view to raw JSON that you can analyze or easily copy into an editor or tool of your choosing:
The combination of visual and JSON-based analysis helps you understand both what happened and why, making it easier to optimize your workload configurations and troubleshoot any issues that may arise.
Updated 4 days ago