Cloud-Native Supercomputing for Beginners

High-performance computing (HPC) and artificial intelligence are moving to the cloud, but bridging the gap between traditional supercomputing and modern cloud-native architectures requires a new set of skills. This text-based course introduces you to the core concepts of cloud-native supercomputing, showing you how to scale massive workloads efficiently. You will understand how to design, deploy, and manage high-performance applications using modern orchestration tools, ensuring your infrastructure is built for speed, scalability, and resilience. What you'll learn: - Understand foundational supercomputing concepts, high-performance computing (HPC) architectures, and cloud-native principles. - Configure containerized environments optimized for heavy AI and computational workloads. - Manage cluster resources and orchestration using Kubernetes tailored for high-throughput tasks. - Explore modern observability patterns to monitor performance and optimize system resource utilization. - Implement security best practices and zero-trust concepts within distributed cloud-native environments. You will start with the fundamental terminology of supercomputing and cloud-native architecture before moving on to practical configurations, container strategies, and resource management techniques. Through clear, written explanations and step-by-step technical guides, you will build a solid foundation in modern infrastructure. This course is designed for beginners, system administrators, and developers looking to enter the field of high-performance cloud infrastructure, with no prior supercomputing experience required. Start your journey into the future of scalable infrastructure and master cloud-native supercomputing today.