Docker and Kubernetes Training | Kubernetes Online Training (2)

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How do you Deploy a Kubernetes Cluster?
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Introduction

• Kubernetes has emerged as the go-to platform for
  orchestrating and managing containerized
  applications.
• Kubernetes clusters provide a scalable, robust,
  and automated way to manage applications and
  services, making it the preferred choice for
  modern infrastructure.
• Deploying a Kubernetes cluster, however, can seem
  complex if you are new to the platform

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Kubernetes and Its Components

• Master Node The master node is responsible for
  managing the cluster. It includes components like
  the API server, scheduler, controller manager,
  and etcd, a key-value store that holds the
  cluster configuration and state.
• Pods Pods are the smallest deployable units in
  Kubernetes, representing a single instance of an
  application or service.

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Kubernetes Cluster

• Infrastructure Ensure that you have the
  necessary infrastructure, whether its
  cloud-based (such as AWS, Google Cloud, or Azure)
  or on-premises virtual machines. You'll need at
  least one master node and one or more worker
  nodes.
• Container Runtime Kubernetes supports several
  container runtimes, such as Docker, CRI-O, or
  containerd. The container runtime needs to be
  installed on each node to manage container
  lifecycles.

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Deploy a Kubernetes Cluster

• There are several ways to deploy a Kubernetes
  cluster, including using managed Kubernetes
  services like Google Kubernetes Engine (GKE) or
  Amazon Elastic Kubernetes Service (EKS), but for
  this article, we'll focus on deploying a cluster
  from scratch using kubeadm, a command-line tool
  that simplifies the process.

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Benefits of Kubernetes

• Scalability Kubernetes automatically manages the
  scaling of applications based on demand, ensuring
  that resources are utilized efficiently.
• Resilience Kubernetes provides self-healing
  capabilities by automatically restarting failed
  containers and ensuring high availability.
• Automation Kubernetes automates deployment,
  scaling, and management of containerized
  applications, reducing manual intervention.

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Conclusion

• Deploying a Kubernetes cluster from scratch may
  seem complex, but by following these steps and
  using tools like kubeadm, you can set up a
  robust, scalable, and highly available
  environment. Whether youre deploying a small
  application or a large-scale enterprise service.

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CONTACT
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