- Newest
- Most votes
- Most comments
Fluctuations in CPU utilization to zero in AWS Batch can be attributed to various factors. Here are some potential reasons and troubleshooting steps:
-
Investigate if there are any anomalies or issues in the batch job execution process that could lead to unexpected CPU utilization behavior. Look for errors or failures in job execution logs and troubleshoot any issues that arise.
-
If your batch jobs are short-lived and complete quickly, there might be periods between job executions where the CPU utilization drops to zero. Check the scheduling frequency of your batch jobs and ensure that they are running continuously or at the expected intervals.
-
If there is a gap between the completion of one batch job and the start of the next, the CPU utilization might drop during the idle period. Consider optimizing your job scheduling to minimize idle time between job executions.
-
Review the configuration of your batch jobs to ensure that they are utilizing CPU resources effectively. Make sure that your containerized applications are configured to utilize available CPU resources efficiently during execution.
-
AWS Batch automatically scales compute environments based on job demand. If there are no pending jobs or if the current capacity exceeds the demand, AWS Batch might scale down the compute environment, leading to zero CPU utilization. Monitor the scaling activity of your compute environment to understand if it correlates with the fluctuations in CPU utilization.
-
Check if the monitoring configuration for Container Insights is correctly set up to capture CPU utilization metrics. Ensure that the CloudWatch agent is installed and configured properly on your EC2 instances running the batch jobs.
-
Investigate if there are any anomalies or issues in the batch job execution process that could lead to unexpected CPU utilization behavior. Look for errors or failures in job execution logs and troubleshoot any issues that arise.
Relevant content
- asked 2 years ago
- AWS OFFICIALUpdated 2 years ago
- AWS OFFICIALUpdated 2 years ago
- AWS OFFICIALUpdated 2 years ago
- AWS OFFICIALUpdated 2 years ago