High-performance computing (HPC) environments handle critical tasks such as financial modeling and drug discovery simulations, requiring vast computational resources and specialized infrastructure like GPUs. Traditionally, monitoring these resources separately has led to inefficiencies and delays, but Datadog now offers a comprehensive solution for monitoring HPC workloads and their supporting infrastructure, whether on-premises, cloud-based, or hybrid. By integrating with popular workload managers like Slurm, Datadog provides detailed insights into job execution, resource utilization, and performance metrics for compute, storage, network, and GPU systems. This integration helps teams identify bottlenecks, optimize throughput, and manage costs more effectively. Datadog's platform includes features like a centralized HPC dashboard, cloud cost management, and tools for diagnosing storage and network issues, enhancing overall visibility and enabling more efficient use of HPC resources.