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Becoming KCNA Certified

You're reading from   Becoming KCNA Certified Build a strong foundation in cloud native and Kubernetes and pass the KCNA exam with ease

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Product type Paperback
Published in Feb 2023
Publisher Packt
ISBN-13 9781804613399
Length 306 pages
Edition 1st Edition
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Author (1):
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Dmitry Galkin Dmitry Galkin
Author Profile Icon Dmitry Galkin
Dmitry Galkin
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Table of Contents (22) Chapters Close

Preface 1. Part 1: The Cloud Era
2. Chapter 1: From Cloud to Cloud Native and Kubernetes FREE CHAPTER 3. Chapter 2: Overview of CNCF and Kubernetes Certifications 4. Part 2: Performing Container Orchestration
5. Chapter 3: Getting Started with Containers 6. Chapter 4: Exploring Container Runtimes, Interfaces, and Service Meshes 7. Part 3: Learning Kubernetes Fundamentals
8. Chapter 5: Orchestrating Containers with Kubernetes 9. Chapter 6: Deploying and Scaling Applications with Kubernetes 10. Chapter 7: Application Placement and Debugging with Kubernetes 11. Chapter 8: Following Kubernetes Best Practices 12. Part 4: Exploring Cloud Native
13. Chapter 9: Understanding Cloud Native Architectures 14. Chapter 10: Implementing Telemetry and Observability in the Cloud 15. Chapter 11: Automating Cloud Native Application Delivery 16. Part 5: KCNA Exam and Next Steps
17. Chapter 12: Practicing for the KCNA Exam with Mock Papers 18. Chapter 13: The Road Ahead 19. Assessments 20. Index 21. Other Books You May Enjoy

Resource requests and limits

As we were exploring the features of the K8s scheduler previously, have you wondered how Kubernetes knows what is the best node in the cluster for a particular pod? If we create a Deployment with no affinity settings, topology constraints, or node selectors, how can Kubernetes decide what is the best location in the cluster for the application we want to run?

By default, K8s is not aware of how many resources (CPU, memory, and other) each container in a scheduled pod requires to run. Therefore, for Kubernetes to make the best scheduling decisions, we need to make K8s aware of what each container requires for normal operation.

Resource requests

A resource request is an optional specification of how many resources each container in a pod needs. Containers can use more resources than requested if the node where the Pod runs has available resources. The specified request amounts will be reserved on the node where the pod is scheduled.

Kubernetes...

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