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AWS HealthOmics now publishes real-time run metrics to Amazon CloudWatch

AWS HealthOmics now publishes real-time run metrics to Amazon CloudWatch, providing visibility into workflow resource utilization during execution. This helps identify CPU/GPU bottlenecks and detect memory or storage exhaustion before tasks fail.

AWS HealthOmics publishes real-time execution metrics to Amazon CloudWatch, allowing users to monitor resource usage of running workflows. The 14 new metrics cover CPU/GPU utilization, memory usage, filesystem utilization, I/O metrics, network throughput, and temporary storage usage. This helps identify CPU or GPU bottlenecks, detect memory or storage exhaustion early, and track filesystem throughput without opening support cases. By comparing actual usage with allocated resources, users can fine-tune compute and storage configurations for workflows. These metrics are emitted using the Amazon CloudWatch OpenTelemetry standard and can be integrated with native CloudWatch dashboards and alarms as well as third-party monitoring tools. Real-time execution metrics are available in AWS HealthOmics regions in US East (N. Virginia, Ohio), US West (Oregon), Europe (Frankfurt, Ireland, London), and Asia Pacific (Singapore, Seoul, Tokyo). Amazon CloudWatch charges for these execution metrics based on data volume. For pricing details, see the Amazon CloudWatch pricing page.

Why it matters

AWS HealthOmics is a HIPAA-eligible service that helps healthcare and life sciences customers accelerate scientific breakthroughs at scale with fully managed bioinformatics workflows. This update provides users with more detailed visibility into resource utilization during workflow execution.

Read the original AWS announcement

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