Docker and Kubernetes Training

   Kubernetes  has become the standard for container orchestration in modern cloud-native environments. It automates the deployment, scaling, and management of containerized applications. However, with great flexibility comes the need for robust governance and control. That’s where  admission controllers  come into play. What is an Admission Controller? An  admission controller  in Kubernetes is a key component of the control plane that intercepts requests to the Kubernetes API server  after  authentication and authorization, but  before  the data is persisted to the cluster store (etcd). Its primary purpose is to validate or modify requests to ensure they comply with certain policies or constraints. Think of it as a gatekeeper or filter that enforces rules on the operations users or systems are trying to perform on Kubernetes resources like pods, deployments, services, and namespaces.   Docker Kubernetes Online Course Where Ad...

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  Kubernetes , often referred to as K8s, is an open-source platform designed to automate the deployment, scaling, and operation of containerized applications. At the heart of Kubernetes lies a critical component known as the  API server . It is the central management entity that acts as the bridge between users, various system components, and the cluster itself. To understand the functionality and importance of Kubernetes, it's essential to grasp the role and purpose of the API server. What Is the Kubernetes API Server? The Kubernetes API server is the  core control plane component  of a Kubernetes cluster. It serves as the  gateway  for all administrative commands and operations. Whether a user wants to deploy an application, scale a service, or check the status of a pod, the API server is the component that processes these requests.  Docker and Kubernetes Training Essentially, it exposes the  Kubernetes API , a RESTful interface that users and i...

  As Kubernetes adoption grows, organizations are increasingly operating multiple Kubernetes clusters across various environments such as on-premises data centers, cloud providers, or hybrid setups. Managing these multi-cluster environments introduces a new layer of complexity but also offers significant benefits like improved availability, workload isolation, and regional distribution. Effective management of these environments requires clear strategies, robust tooling, and strong governance. Why Use Multiple Clusters? Before diving into the management strategies, it is important to understand the motivations behind a multi-cluster approach: Docker and Kubernetes Training High Availability and Disaster Recovery: Distributing workloads across clusters in different regions or availability zones can protect against localized failures. Compliance and Data Sovereignty: Some regulations require that data and applications remain within specific geographic boundarie...

  Docker Swarm and Kubernetes  stand as the two most popular tools. While both are designed to manage containerized applications in production, they offer different approaches in terms of complexity, scalability, and features. Understanding how Docker Swarm compares to Kubernetes helps teams choose the right platform based on their needs.  Docker and Kubernetes Online Training What is Docker Swarm? Docker Swarm  is Docker’s native clustering and orchestration tool. It allows users to turn a group of Docker engines into a single virtual Docker engine. With Docker Swarm, users can deploy services, scale applications, and maintain availability across nodes with relative ease. Swarm is tightly integrated with the Docker CLI and uses Docker’s familiar syntax, making it easy to get started for users already comfortable with Docker. It’s lightweight and simpler in design, which makes it ideal for smaller teams or simpler applications. What is Kubernetes? Kubernetes , develo...

  Kubernetes , the powerful container orchestration platform, has revolutionized the way modern applications are deployed and managed. At the heart of Kubernetes' automation and self-healing capabilities lies a critical but often overlooked component—the  controller . A Kubernetes controller is the invisible force that ensures your applications run as intended, even when unexpected failures or disruptions occur. The Concept of Desired State vs. Current State To understand the role of a Kubernetes controller, it’s essential to grasp one of Kubernetes’ core principles:  desired state management . When a user defines a deployment in Kubernetes, such as running three replicas of an application, this is the  desired state . The actual number of running pods at any given moment is the  current state . The controller continuously compares these two and takes action if they don’t match.  Docker Kubernetes Online Course What Exactly Is a Kubernetes Controller? A Kub...