Optimizing Azure NetApp Files for EDA and HPC Workloads

Running high-performance computing (HPC) and electronic design automation (EDA) workloads in the cloud requires exceptional storage performance and ultra-low latency. Azure NetApp Files provides the enterprise-grade file shares needed for these intense workloads, but achieving peak efficiency requires specific configuration and tuning strategies. This text-based course guides you through the foundational concepts and practical steps to optimize your storage infrastructure for maximum throughput. You will transition from basic file share setups to highly optimized, resilient configurations tailored for data-heavy applications. Along the way, you will explore modern observability practices to keep your infrastructure running smoothly under heavy loads. What you'll learn: - Understand the core architecture and performance tiers of Azure NetApp Files - Configure volume parameters, mount options, and network settings for maximum throughput - Apply proven best practices specifically tailored for EDA and HPC application workloads - Monitor storage performance and identify latency bottlenecks using modern observability tools - Implement infrastructure-as-code patterns to deploy optimized storage environments consistently You will start with essential storage terminology and foundational concepts before moving into advanced mount options, network configurations, and real-world performance tuning scenarios. The course concludes with practical guidelines for continuous monitoring and automation. This course is designed for cloud architects, systems administrators, and IT professionals who are new to high-performance storage in the cloud. No prior experience with Azure NetApp Files is required. Start reading today to unlock the full performance potential of your cloud-based HPC workloads.