Learn how Datadog’s Lustre integration correlates file system, job, and infrastructure metrics to troubleshoot HPC bottlenecks and optimize I/O performance.

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Datadog

Datadog's Lustre integration provides comprehensive monitoring for parallel file systems in HPC environments. It tracks metadata operations, I/O throughput, and file system health across metadata servers, object storage servers, and clients. The integration helps detect metadata bottlenecks before they stall jobs, analyze per-job access patterns to troubleshoot slowdowns, and monitor storage capacity and network health at scale. Teams can correlate Lustre metrics with job scheduler data, GPU monitoring, and infrastructure telemetry to identify root causes of performance issues and optimize storage configurations.

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