The text introduces the AWS Parallel Computing Service (AWS PCS), a managed service designed to facilitate the running and scaling of high-performance computing (HPC) workloads by utilizing Slurm for scheduling and orchestrating simulations. AWS PCS automates the provisioning and scaling of compute nodes, allowing users to concentrate on refining models rather than managing infrastructure. Despite this, visibility into cluster activity, job performance, and cost drivers remains essential, prompting the integration with Datadog for enhanced monitoring capabilities. This integration provides real-time and historical data insights via Datadog's AWS PCS dashboard, enabling users to optimize HPC workloads, manage costs, and ensure efficient resource allocation. The integration with Slurm offers additional visibility into HPC job activity, assisting in identifying bottlenecks and inefficiencies. Furthermore, by combining these insights with other Datadog integrations, such as Amazon EC2, storage systems, and NVIDIA GPUs, users can quickly determine performance issues and optimize HPC workload performance across different environments.