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Official Google Cloud Certified Associate Cloud Engineer Study Guide

You're reading from   Official Google Cloud Certified Associate Cloud Engineer Study Guide The only official Google Cloud study guide

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Product type Paperback
Published in Apr 2019
Publisher Wiley
ISBN-13 9781119564416
Length 560 pages
Edition 1st Edition
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Author (1):
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Dan Sullivan Dan Sullivan
Author Profile Icon Dan Sullivan
Dan Sullivan
CONTACTED ON 18/12/19
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Toc

Table of Contents (28) Chapters Close

1. Cover FREE CHAPTER
2. Acknowledgments
3. About the Author
4. Introduction
5. Assessment Test
6. Answers to Assessment Test
7. Chapter 1 Overview of Google Cloud Platform 8. Chapter 2 Google Cloud Computing Services 9. Chapter 3 Projects, Service Accounts, and Billing 10. Chapter 4 Introduction to Computing in Google Cloud 11. Chapter 5 Computing with Compute Engine Virtual Machines 12. Chapter 6 Managing Virtual Machines 13. Chapter 7 Computing with Kubernetes 14. Chapter 8 Managing Kubernetes Clusters 15. Chapter 9 Computing with App Engine 16. Chapter 10 Computing with Cloud Functions 17. Chapter 11 Planning Storage in the Cloud 18. Chapter 12 Deploying Storage in Google Cloud Platform 19. Chapter 13 Loading Data into Storage 20. Chapter 14 Networking in the Cloud: Virtual Private Clouds and Virtual Private Networks 21. Chapter 15 Networking in the Cloud: DNS, Load Balancing, and IP Addressing 22. Chapter 16 Deploying Applications with Cloud Launcher and Deployment Manager 23. Chapter 17 Configuring Access and Security 24. Chapter 18 Monitoring, Logging, and Cost Estimating 25. Index
26. Advert
27. End User License Agreement
Appendix Answers to Review Questions

Chapter 7
Computing with Kubernetes

THIS CHAPTER COVERS THE FOLLOWING OBJECTIVES OF THE GOOGLE ASSOCIATE CLOUD ENGINEER CERTIFICATION EXAM:

  •  3.2 Deploying and implementing Kubernetes Engine resources

 This chapter introduces Kubernetes, a container orchestration system created and open sourced by Google. You will learn about the architecture of Kubernetes and the ways it manages workloads across nodes in a cluster. You will also learn how to manage Kubernetes resources with Cloud Console, Cloud Shell, and Cloud SDK. The chapter also covers how to deploy application pods (a Kubernetes structure) and monitor and log Kubernetes resources.

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Authors (1)

Profile icon Dan Sullivan
Dan Sullivan
CONTACTED ON 18/12/19
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