As software engineers, we often work with systems that abstract away the fundamental concepts of operating systems. We deploy containers to Kubernetes, scale web services, and optimize database queries without thinking deeply about the underlying resource management. Yet understanding these foundations becomes crucial when we hit performance walls or design systems that need to handle thousands of concurrent operations efficiently.
This guide covers CPU scheduling algorithms for systems engineers, backend developers, and DevOps professionals. These concepts help when optimizing microservice architectures, debugging performance issues, or working with distributed systems.
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