Cloud HPC Cluster Management with Azure CycleCloud

Scaling high-performance computing (HPC) workloads in the cloud requires robust, flexible, and automated cluster management. This text-based course guides you through the foundational concepts of orchestrating large-scale computational power using Azure CycleCloud. You will transition from understanding basic cloud infrastructure to successfully designing, launching, and managing customized HPC clusters. Through clear explanations and structured configuration examples, you will learn how to optimize resource allocation, control costs, and integrate modern containerized workloads. What you'll learn: - Understand the core architecture of Azure CycleCloud and fundamental HPC cluster concepts. - Configure cluster templates to automate the deployment of scalable compute nodes. - Manage user access, security policies, and cost-control measures within your cluster. - Integrate modern container runtimes for portable, high-efficiency HPC applications. - Monitor cluster health and performance using modern cloud observability practices. - Troubleshoot common scheduling and node allocation issues through written guides. The course starts with essential HPC terminology and CycleCloud installation prerequisites before advancing to cluster customization, scheduler integration, and automated scaling policies. You will read through step-by-step configuration walkthroughs designed to build practical, real-world cloud engineering skills. This course is designed for systems administrators, cloud engineers, and researchers new to cloud-based high-performance computing, requiring no prior HPC experience. Start reading today to master cloud-scale high-performance computing.