Book Image

Google Cloud Associate Cloud Engineer Certification and Implementation Guide

By : Agnieszka Koziorowska, Wojciech Marusiak
Book Image

Google Cloud Associate Cloud Engineer Certification and Implementation Guide

By: Agnieszka Koziorowska, Wojciech Marusiak

Overview of this book

Google Cloud Platform (GCP) is a leading cloud provider, helping companies and users worldwide to solve the most challenging business issues. This book will teach cloud engineers working with GCP how to implement, configure, and secure cloud environment, and help students gain confidence in utilizing various GCP services. The book begins by introducing you to Google Cloud and the ACE exam, including various resources that can help you pass. The next set of chapters will help you explore the various compute options in Google Cloud, such as Google Kubernetes Engine and Google Compute Engine. As you advance, you'll gain a clear understanding of the essence of the cloud, including networking and storage, as well as the data analytics products that Google Cloud provides. The chapters also cover key topics such as monitoring, logging, diagnostics, and price estimation along with the most crucial of subjects, security, with a particular focus on identity and access management. Finally, you'll be given the chance to test your newfound knowledge with the help of two mock exams. By the end of this book, you’ll have learned the difference between various Google Cloud Platform services, along with specific use cases, and be able to implement these services with the GCP console and command-line utilities.
Table of Contents (20 chapters)
1
Part 1:Overview of Google Cloud Platform and Associate Cloud Engineer Certification
4
Part 2:Configuring and Implementing Google Cloud
6
Chapter 4: Implementing Compute Solutions – Google Compute Engine
12
Part 3:Data Analytics, Security, Operations, and Cost Estimation in Google Cloud
16
Mock Test 1
17
Mock Test 2

Summary

This chapter explored various ways that data can be stored in Google Cloud. Let’s summarize what we have learned about storage.

For large amounts of unstructured data, we could use Google Cloud Storage. Applications installed inside Compute Engine VM will benefit greatly from performant local or persistent drives. If files need to be shared between users over a network, Filestore will be the best fit. If data that we store for an application is structured and can be organized in tables, relational databases such as Cloud SQL or Spanner will make a good choice, with Spanner being able to scale horizontally better. If the data is not relational but of the key-value type, Cloud Bigtable is a perfect use case. Firestore is the best fit if you are looking for a document database for mobile applications. BigQuery would be the best for analyzing large amounts of unchanged data.

Please refer to the following diagram, which will hopefully assist you in identifying the differences...