AWS Batch now provides Queue and Share Utilization Visibility, giving you insights into how your workloads are distributed across compute resources. This feature introduces queue utilization data in job queue snapshots, revealing compute capacity used by your first-in-first-out (FIFO) and fair share job queues, along with capacity consumption by individual fair share allocations. Additionally, the ListServiceJobs API now includes a scheduledAt timestamp for AWS Batch service jobs, allowing you to track when jobs are scheduled for execution.
Queue and Share Utilization Visibility helps you understand which fair-share allocations consume the most capacity and pinpoint the specific jobs driving resource consumption. You can monitor overall queue utilization and drill down into active shares to optimize resource distribution, or filter jobs by share identifier to analyze consumption patterns and scheduling behavior across your workloads.
You can access this feature using the GetJobQueueSnapshot, ListJobs, and ListServiceJobs APIs, or through the AWS Batch Management Console by navigating to your job queue details page and selecting the new Share Utilization tab. This feature is available today in all AWS Regions where AWS Batch is available. To learn more, visit the Job Queue Snapshot, List Jobs, and List Service Jobs pages of the AWS Batch API Reference Guide.
Categories:
Source: Amazon Web Services
Latest Posts
- (Updated) Microsoft Teams Copilot without transcription becomes default for meetings – conversation history now persists [MC1139493]
- (Updated) Microsoft 365 Copilot: Introducing infinite scroll for chat history [MC1237701]
- (Updated) Purview Communication Compliance: Temporary delays in processing due to planned infrastructure migration [MC1214183]
- (Updated) Microsoft 365 Copilot: Graph APIs for agent and app management [MC1173195]
