Book Image

Professional Cloud Architect Google Cloud Certification Guide - Second Edition

By : Konrad Cłapa, Brian Gerrard
5 (1)
Book Image

Professional Cloud Architect Google Cloud Certification Guide - Second Edition

5 (1)
By: Konrad Cłapa, Brian Gerrard

Overview of this book

Google Cloud Platform (GCP) is one of the industry leaders thanks to its array of services that can be leveraged by organizations to bring the best out of their infrastructure. This book is a comprehensive guide for learning methods to effectively utilize GCP services and help you become acquainted with the topics required to pass Google's Professional Cloud Architect certification exam. Following the Professional Cloud Architect's official exam syllabus, you'll first be introduced to the GCP. The book then covers the core services that GCP offers, such as computing and storage, and takes you through effective methods of scaling and automating your cloud infrastructure. As you progress through the chapters, you'll get to grips with containers and services and discover best practices related to the design and process. This revised second edition features new topics such as Cloud Run, Anthos, Data Fusion, Composer, and Data Catalog. By the end of this book, you'll have gained the knowledge required to take and pass the Google Cloud Certification – Professional Cloud Architect exam and become an expert in GCP services.
Table of Contents (25 chapters)
1
Section 1: Introduction to GCP
5
Section 2: Manage, Design, and Plan a Cloud Solution Architecture
14
Chapter 12: Exploring Storage and Database Options in GCP – Part 2
17
Section 3: Secure, Manage and Monitor a Google Cloud Solution
21
Section 4: Exam Focus

Autoscaling

We mentioned autoscaling earlier, which deserves a full section to itself. Autoscaling is a fundamental principle of cloud computing. It allows resources to be elastic and can increase and decrease the number of instances 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 be used as a basis for 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 Google Cloud operations suite-monitoring 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 will collect a CPU utilization of instances...