Kubernetes

Categories: DevOps, Technologies
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About Course

Kubernetes is an open-source platform designed to automate deploying, scaling, and operating containerized applications. This course provides an in-depth understanding of Kubernetes architecture, features, and best practices. By the end of the course, you will be equipped to deploy and manage containerized applications in a production environment using Kubernetes.


Why Choose the Course?

  • Learn how to manage and scale containerized applications effectively using Kubernetes.
  • Gain hands-on experience with Kubernetes tools, including kubectl, Helm, and Kubernetes Dashboard.
  • Understand Kubernetes architecture, components, and deployment strategies.
  • Learn to create and manage Pods, Deployments, Services, and ConfigMaps.
  • Improve your cloud-native application management skills with Kubernetes, a leading platform in modern DevOps and container orchestration.
  • Unlock career opportunities as a Kubernetes administrator or DevOps engineer.
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What Will You Learn?

  • Understanding Kubernetes architecture, nodes, pods, and clusters.
  • How to deploy and manage containers using Kubernetes.
  • Using kubectl to interact with a Kubernetes cluster.
  • Creating and managing Pods, Deployments, and ReplicaSets.
  • Configuring services, networking, and persistent storage in Kubernetes.
  • Helm charts for package management in Kubernetes.
  • Implementing autoscaling, monitoring, and logging in a Kubernetes environment.
  • Best practices for troubleshooting and securing Kubernetes clusters.
  • Building and managing cloud-native applications using Kubernetes.

Course Content

Sessions

  • Session 1
    01:36:35
  • Session 2
    01:35:58
  • Session 3
    01:35:40
  • Session 4
    01:28:53
  • Session 5
    01:31:26
  • Session 6
    01:39:18
  • Session 7
    01:40:11
  • Session 8
    01:35:29
  • Session 9
    01:34:48
  • Session 10
    01:35:05
  • Session 11
    01:38:13
  • Session 12
    01:33:53
  • Session 13
    01:40:49
  • Session 14
    01:30:54
  • Session 15
    01:41:54
  • Session 16
    01:31:43
  • Session 17
    01:37:04
  • Session 18
    01:30:36
  • Session 19
    01:24:22
  • Session 20
    01:26:06
  • Session 21
    01:23:51
  • Session 22
    01:32:29
  • Session 23
    01:31:03
  • Session 24
    01:37:29

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