In recent updates to AWS HealthOmics, customers can now access more detailed information about their workflow runs. This includes performance metrics in CloudWatch log streams and engine logs in customers’ chosen S3 location. These enhancements aim to provide customers with the necessary insights to optimize their workloads and efficiently troubleshoot any issues that may arise.
Benefits of Enhanced Workflow Run Information¶
The availability of detailed performance metrics in CloudWatch log streams enables customers to monitor the performance of their workflow runs in real-time. This information can help in identifying any potential bottlenecks or areas for optimization. By leveraging this data, customers can make informed decisions to right-size their workloads and improve overall efficiency.
Furthermore, the inclusion of engine logs for all workflow runs in customers’ preferred S3 location offers a comprehensive view of the workflow execution process. These logs provide valuable insights into the execution steps taken by the workflow engine, making it easier for customers to track the progress of their runs and troubleshoot any issues that may arise.
Moreover, the detailed status messages provided in the revamped run details page in the HealthOmics console offer customers a centralized location to review the status of their workflow runs. This enhanced visibility into the status of each run enables customers to quickly identify any failed or stalled runs and take appropriate action to address them promptly.
Technical Insights¶
CloudWatch Log Streams¶
- Customers can leverage CloudWatch log streams to access detailed performance metrics of their workflow runs, such as execution time, resource utilization, and error logs.
- These metrics provide real-time insights into the performance of the workflow runs, allowing customers to proactively optimize their workloads for improved efficiency.
Engine Logs in S3¶
- Engine logs for all workflow runs are now stored in customers’ specified S3 location, enabling easy access and centralized storage of execution logs.
- These logs provide a detailed record of the workflow execution process, including the steps taken by the workflow engine and any errors encountered during execution.
Status Messages in HealthOmics Console¶
- The revamped run details page in the HealthOmics console displays detailed status messages for each workflow run, offering customers a comprehensive view of the run status.
- Customers can quickly identify failed or stalled runs and troubleshoot any issues using the information provided on this page.
Optimization and Efficiency¶
By utilizing the enhanced workflow run information available in AWS HealthOmics, customers can optimize their workloads for improved efficiency. Some ways in which customers can leverage this information include:
- Analyzing performance metrics in CloudWatch log streams to identify and address bottlenecks in the workflow execution process.
- Reviewing engine logs in the S3 location to understand the execution steps taken by the workflow engine and troubleshoot any issues encountered during execution.
- Monitoring status messages in the HealthOmics console to quickly identify and resolve any failed or stalled workflow runs.
Conclusion¶
The availability of enhanced workflow run information in AWS HealthOmics empowers customers with the insights needed to optimize their workloads and troubleshoot any issues efficiently. By leveraging detailed performance metrics, engine logs, and status messages, customers can proactively monitor their workflow runs and make informed decisions to enhance efficiency. With these new capabilities, AWS HealthOmics continues to support customers in their journey towards seamless and efficient workflow execution.