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Official Google Cloud Certified Professional Cloud Security Engineer Exam Guide

You're reading from   Official Google Cloud Certified Professional Cloud Security Engineer Exam Guide Become an expert and get Google Cloud certified with this practitioner's guide

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Product type Paperback
Published in Aug 2023
Publisher Packt
ISBN-13 9781835468869
Length 496 pages
Edition 1st Edition
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Authors (2):
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Prashant Kulkarni Prashant Kulkarni
Author Profile Icon Prashant Kulkarni
Prashant Kulkarni
Ankush Chowdhary Ankush Chowdhary
Author Profile Icon Ankush Chowdhary
Ankush Chowdhary
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Toc

Table of Contents (19) Chapters Close

Preface 1. Chapter 1: About the GCP Professional Cloud Security Engineer Exam FREE CHAPTER 2. Chapter 2: Google Cloud Security Concepts 3. Chapter 3: Trust and Compliance 4. Chapter 4: Resource Management 5. Chapter 5: Understanding Google Cloud Identity 6. Chapter 6: Google Cloud Identity and Access Management 7. Chapter 7: Virtual Private Cloud 8. Chapter 8: Advanced Network Security 9. Chapter 9: Google Cloud Key Management Service 10. Chapter 10: Cloud Data Loss Prevention 11. Chapter 11: Secret Manager 12. Chapter 12: Cloud Logging 13. Chapter 13: Image Hardening and CI/CD Security 14. Chapter 14: Security Command Center 15. Chapter 15: Container Security 16. Google Professional Cloud Security Engineer Exam – Mock Exam I
17. Google Professional Cloud Security Engineer Exam – Mock Exam II 18. Other Books You May Enjoy

Container basics

Traditionally, applications used to be deployed on dedicated servers. To run an application, you would do the following:

  1. Purchase hardware.
  2. Install the OS.
  3. Install dependencies.
  4. Deploy application code.
  5. Make sure the application is the same across all environments.

This took a lot of time and resources to deploy and maintain. It was not portable and was difficult to scale. VMware popularized running multiple servers and operating systems (OSs) on the same hardware using a hypervisor. Each virtual machine (VM) has its own dedicated resources, including memory, CPU, and storage, which are allocated by the hypervisor that manages them. VMs are isolated from each other and from the host machine, providing greater security and flexibility but also requiring more resources and longer startup times. Containers share the host machine’s OS kernel and use containerization technology to isolate the application from other processes running...

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