Kubernetes Pod Design for Application Developers: Deployments

Lab Steps

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Connecting to the Kubernetes Cluster
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Managing Pods with Deployments

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DifficultyIntermediate
Time Limit30m
Students2157
Ratings
4.7/5
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Description

This lab is the third in the Kubernetes Pod Design for Application Developers series that where you will learn to design Pod workloads using higher-level resources in Kubernetes that simplify Pod management. You will use Deployments to manage long-running workloads and perform rolling updates and rollbacks between versions of an application.

This lab is valuable to anyone working with Kubernetes, but the content has been prepared considering topics described in the Certified Kubernetes Application Developer (CKAD) Exam Curriculum. Completion of the lab will help you get hands-on experience, which is essential for passing the CKAD exam.

Learning Objectives

  • Understand Deployments and how to perform rolling updates and rollbacks

Intended Audience

  • Application developers deploying applications in containers and using or considering Kubernetes
  • This lab is recommended for Certified Kubernetes Application Developer (CKAD) examinees

Prerequisites

  • Understand how to use labels, selectors, and annotations in relation to Pods

You can take the Kubernetes Pod Design for Application Developers: Labels, Selectors, and Annotations to satisfy the prerequisites.

Updates

September 6th, 2022 - Updated to run Kubernetes 1.24

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About the Author
Students178548
Labs210
Courses9
Learning paths49

Logan has been involved in software development and research since 2007 and has been in the cloud since 2012. He is an AWS Certified DevOps Engineer - Professional, AWS Certified Solutions Architect - Professional, Microsoft Certified Azure Solutions Architect Expert, MCSE: Cloud Platform and Infrastructure, Google Cloud Certified Associate Cloud Engineer, Certified Kubernetes Security Specialist (CKS), Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), and Certified OpenStack Administrator (COA). He earned his Ph.D. studying design automation and enjoys all things tech.