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Google Cloud Certified Professional Cloud Developer Exam Guide

You're reading from   Google Cloud Certified Professional Cloud Developer Exam Guide Modernize your applications using cloud-native services and best practices

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Product type Paperback
Published in Sep 2021
Publisher Packt
ISBN-13 9781800560994
Length 382 pages
Edition 1st Edition
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Author (1):
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Sebastian Moreno Sebastian Moreno
Author Profile Icon Sebastian Moreno
Sebastian Moreno
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Table of Contents (21) Chapters Close

Preface 1. Section 1: Welcome to the Google Cloud Developers' Guide
2. Chapter 1: Google Cloud Platform Developer Fundamentals FREE CHAPTER 3. Chapter 2: Security Fundamentals and Best Practices 4. Section 2: Developing and Modernizing Applications on Google Cloud Platform
5. Chapter 3: Application Modernization Using Google Cloud 6. Chapter 4: Using Cloud Functions and Google App Engine 7. Chapter 5: Virtual Machines and Container Applications on Google Cloud Platform 8. Chapter 6: Managing APIs on Google Cloud Platform 9. Section 3: Storage Foundations
10. Chapter 7: Handling Unstructured Data 11. Chapter 8: Databases and Event Messages in Google Cloud 12. Chapter 9: Data Management and Database Strategies 13. Chapter 10: Optimizing Applications with Caching Strategies on Google Cloud Platform 14. Section 4: SRE for Developers
15. Chapter 11: Logging on Google Cloud Platform 16. Chapter 12: Cloud Monitoring, Tracing, and Debugging 17. Section 5: Analyzing a Sample Case Study
18. Chapter 13: HipLocal Sample Case Study Preparation 19. Chapter 14: Questions and Answers 20. Other Books You May Enjoy

How, when, and why you should use a caching strategy in your applications

Generally, when developing an application, we focus on developing its functionalities and may neglect other important aspects such as security and performance. A data caching strategy within our application allows us to take care of the performance aspects within our application. In this section, we will answer the questions of why, when, and how to implement a caching strategy.

Why is having a cache strategy important?

Although some applications can work autonomously, without needing to integrate with other services, most applications need to obtain information either by accessing services or databases.

This is not a problem when our application generates small traffic against these services or databases, and it only faces latency problems when it's accessing a service that is very far in terms of location from our computing resources:

Figure 10.1 – High latency versus...

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