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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
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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

Guidelines for Planning, Deploying, and Managing Virtual Machines

Consider the following guidelines to help with streamlining your work with VMs. These guidelines apply to working with a small number of VMs. Later chapters will provide additional guidelines for working with clusters and instance groups, which are sets of similarly configured VMs.

  • Choose a machine type with the fewest CPUs and the smallest amount of memory that still meets your requirements, including peak capacity. This will minimize the cost of the VM.
  • Use the console for ad hoc administration of VMs. Use scripts with gcloud commands for tasks that will be repeated.
  • Use startup scripts to perform software updates and other tasks that should be performed on startup.
  • If you make many modifications to a machine image, consider saving it and using it with new instances rather than running the same set of modifications on every new instance.
  • If you can tolerate unplanned disruptions, use preemptible VMs to reduce cost...
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