Kubernetes for Production: Cluster Management and Scaling

Moving beyond basic container deployments requires a solid understanding of how to manage, scale, and secure production-grade clusters. This text-based course guides you through the transition from running single containers to orchestrating complex, resilient workloads with Kubernetes. You will develop a deep, practical understanding of cluster architecture, advanced scheduling, network policies, and modern GitOps workflows. By studying clear, written explanations and real-world configuration examples, you will gain the confidence to maintain high-availability systems and optimize container performance. What you'll learn: - Understand foundational Kubernetes architecture, control plane components, and core terminology. - Configure advanced workloads using deployments, stateful sets, and daemon sets. - Implement secure networking with network policies and ingress controllers. - Scale applications automatically using horizontal pod autoscaling based on custom metrics. - Manage cluster state and deployments using modern declarative GitOps principles. - Monitor application health and performance with modern observability concepts. The course begins with foundational architecture and core resource definitions before moving into advanced scheduling, security configurations, and automated scaling strategies. You will progress through structured text lessons and practical configuration scenarios designed to build production-ready skills. This course is designed for developers, system administrators, and aspiring DevOps engineers who have basic container familiarity and want to learn production-grade cluster management. No prior Kubernetes experience is required, as we start with foundational concepts. Start building and managing resilient, scalable Kubernetes clusters today.