Apr 6
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In this episode, we explore how distributed systems automate the deployment, scaling, and management of containerized applications using Kubernetes. Key Concepts Covered in This Episode: Container Orchestration & Auto-scaling: We contrast container creation with container management. You will learn how Kubernetes acts as an orchestrator at runtime, continuously performing health checks, load balancing traffic, and executing auto-scaling policies to instantly replace failed container instances without manual intervention. Cluster Architecture (Master & Worker Nodes): We break down the topology of a Kubernetes Cluster. Discover how the Control Plane (Master Node) serves as the brain of the system by issuing commands via the API-server, while the Compute Machines (Worker Nodes) execute the active workloads. We also explore the necessity of multiple Master Nodes for High Availability. Pods & Namespaces: We dive into the granular deployment units and resource partitioning of a cluster. You will learn how Worker Nodes host Pods (the smallest schedulable units containing one or more containers) and how Namespaces are utilized to logically divide cluster resources, enabling multiple teams to operate securely within a shared environment.