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

Monitoring, Logging, and Estimating Costs in GCP

At first look, the observability services don’t appear to be the most critical topic. It is possible to run workloads without monitoring them. But soon, after you start deploying services at scale, you will look for a monitoring service to optimize or plan the usage of Google Cloud resources. You will want to investigate logs once the first issues appear. Then, you will need to build customized dashboards and alerts to get notified of the status of your services.

This chapter will help you better understand what kind of observability tools Google Cloud offers and how to use them for your workloads.

We will focus on Google Cloud’s operations suite (formerly Stackdriver), which consists of the following fully managed services – Cloud Monitoring for visibility into the health of your applications and Google Cloud services, Cloud Logging for real-time log management, and application-level diagnostic tools such...