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

Containers

To understand containers, let's compare them to traditional virtual machines. While virtual machines virtualize hardware, containers virtualize the operating system. They abstract the application, along with all its dependencies, into one unit. Multiple containers can be hosted on one operating system running as an isolated process:

Figure 6.2 – Applications in containers

Containers bring the following advantages:

  • Isolation: Applications can use their libraries without conflicting with libraries from other applications.
  • Resource limitation: Applications can be limited to the resource's usage.
  • Portability: Applications are self-contained with all their dependencies and are not tied to an OS or a cloud provider.
  • Lightweight: The footprint of the application is much smaller as the containers share a common kernel.

The software that allows the containers to run is called the container runtime.

While there...