Kubernetes on Azure (AKS) Training Course

Course Code

kubernetesazure

Duration

14 hours (usually 2 days including breaks)

Requirements

  • An understanding of containers (e.g., Docker) and Kubernetes basics
  • Experience with the Linux command line

Overview

Azure Kubernetes Service (AKS) is a hosted Kubernetes service that simplifies the deployment and management of a Kubernetes cluster in Azure. 

In this instructor-led, live training, participants will learn how to set up and manage a production-scale container environment using Kubernetes on AKS. 

By the end of this training, participants will be able to:

  • Configure and manage Kubernetes on AKS
  • Deploy, manage and scale a Kubernetes cluster
  • Deploy containerized (Docker) applications on Azure
  • Migrate an existing Kubernetes environment from on-premise to AKS cloud
  • Integrate Kubernetes with third-party continuous integration (CI) software
  • Ensure high availability and disaster recovery in Kubernetes

Audience

  • Developers
  • System Administrators
  • DevOps Engineers

Format of the Course

  • Part lecture, part discussion, exercises and heavy hands-on practice in a live-lab environment.

Note

  • To request a customized training for this course, please contact us to arrange.

Course Outline

Introduction

  • Kubernetes deployment: Azure vs AWS vs on-premise

Overview of Azure Kubernetes Service (AKS) Features and Support

Using the Azure Portal and the Azure CLI (Command Line Interface)

Creating and Uploading a Container Image to the Azure Container Registry

Building A Kubernetes Cluster

Networking Kubernetes Pods

Integrating Kubernetes with Continuous Integration (CI) Tools and Processes

Updating an Application Running in Kubernetes

Integrating Kubernetes with Active Directory

Identity and Security Management in AKS

Advanced Networking

Monitoring a Kubernetes Cluster

Scaling a Kubernetes Cluster

Migrating from On-premise to Azure

Ensuring High Availability and Disaster Recovery in Kubernetes

Troubleshooting

Summary and Conclusion

Testimonials

★★★★★
★★★★★

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