Book Image

Professional Cloud Architect – Google Cloud Certification Guide

By : Konrad Cłapa, Brian Gerrard
Book Image

Professional Cloud Architect – Google Cloud Certification Guide

By: Konrad Cłapa, Brian Gerrard

Overview of this book

Google Cloud Platform (GCP) is one of the leading cloud service suites and offers solutions for storage, analytics, big data, machine learning, and application development. It features an array of services that can help organizations to get the best out of their infrastructure. This comprehensive guide covers a variety of topics specific to Google's Professional Cloud Architect official exam syllabus and guides you in using the right methods for effective use of GCP services. You'll start by exploring GCP, understanding the benefits of becoming a certified architect, and learning how to register for the exam. You'll then delve into the core services that GCP offers such as computing, storage, and security. As you advance, this GCP book will help you get up to speed with methods to scale and automate your cloud infrastructure and delve into containers and services. In the concluding chapters, you'll discover security best practices and even gain insights into designing applications with GCP services and monitoring your infrastructure as a GCP architect. By the end of this book, you will be well versed in all the topics required to pass Google's Professional Cloud Architect exam and use GCP services effectively.
Table of Contents (26 chapters)
Free Chapter
1
Section 1: Introduction to GCP
5
Section 2: Managing, Designing, and Planning a Cloud Solution Architecture
15
Section 3: Designing for Security and Compliance
17
Section 4: Managing Implementation
19
Section 5: Ensuring Solution and Operations Reliability
21
Section 6: Exam Focus

Autoscaling

We mentioned autoscaling earlier and this deserves a full section to itself. Autoscaling is a fundamental principle of cloud computing. It allows infrastructures to be elastic and will increase and decrease based on demand. As a reminder, we can only use autoscaling with managed instance groups. This is because only managed instance groups will use a dedicated template, which, in turn, can create a pool of homogeneous VM instances.

Once autoscaling is enabled in our instance group, it also enables many settings under an Autoscaling policy. These policies can be based on CPU usage, HTTP load balancing usage, or Stackdriver metrics. We should also note here that it is possible to autoscale based on custom metrics so we are not reliant only on out-of-the-box metrics.

The following example is based on CPU usage, which is the simplest form of autoscaling. The autoscaler...