hands-on lab
Mastering Kubernetes Pod Configuration: Defining Resource Requirements
Difficulty: Intermediate
Duration: Up to 35 minutes
Students: 2,375
Rating: 4.7/5
Get guided in a real environmentPractice with a step-by-step scenario in a real, provisioned environment.
Learn and validateUse validations to check your solutions every step of the way.
See resultsTrack your knowledge and monitor your progress.
Description
Kubernetes provides a variety of features to get the most out of your containerized applications. This lab will train you on Pod configuration concepts that teach you how to maximize cluster efficiency and utilization by configuring resource requirements for Pods.
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
- Define an application's resource requirements using
limits
andrequests
Intended Audience
- Application developers and DevOps engineers deploying applications in containers and using or considering Kubernetes
- This lab is recommended for Certified Kubernetes Application Developer (CKAD) examinees
Prerequisites
- Knowledge of Kubernetes Pod Design (Pods, Deployments, Services, Jobs)
- Experience with
kubectl
You can complete the Kubernetes Pod Design for Application Developers lab series to satisfy the prerequisites.
Updates
July 13th, 2024 - Updated cluster to Kubernetes 1.30
October 13th, 2023 - Updated Kubernetes to 1.28
June 13th, 2023 - Updated Kubernetes to 1.26
September 6th, 2022 - Updated to run Kubernetes 1.24
January 20th, 2022 - Fixed a typo in the manifest to force scheduling of the Pods on separate nodes
October 18th, 2021 - Added instructions to clarify the importance of requests on scheduling decisions
Environment before
Environment after
Covered topics
Lab steps
Connecting to the Kubernetes Cluster
Requesting and Limiting Resources for Pods