Slurm, an open-source workload management system designed for high-performance computing (HPC) Linux clusters, efficiently schedules jobs and manages resources but can present challenges in job visibility and infrastructure correlation. The Datadog Slurm integration addresses these challenges by collecting metrics from Slurm's central controller, slurmctld, and providing an out-of-the-box dashboard for visualizing job states, resource utilization, and scheduler efficiency. Users can quickly troubleshoot pending or failed jobs by examining job metrics, reasons for job states, and correlating job performance with host-level resource metrics. For Slurm administrators, the integration offers insights into the systemic health of clusters, helping to identify bottlenecks in Slurm components and optimize scheduler parameters. Additionally, Datadog's comprehensive HPC monitoring capabilities extend beyond Slurm, integrating with tools like Nvidia DCGM Exporter and Lustre to provide visibility into GPU, file system, and network components, thereby enhancing the management of HPC environments.