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 on Compute Engine

As an alternative to running GKE, GCP offers the ability to run containers on Compute Engine. Containers will be covered more in Chapter 6, Managing Kubernetes Clusters with Google Kubernetes Engine; however, it's important to note that containers can be run on both Linux and Windows server VM instances or container-optimized operating systems offered inside of Compute Engine. Docker and Podman are two common container technologies that let us run containerized applications.

We should note that a Container-Optimized OS does have some limitations:

  • It does not include a package manager, so we cannot install software packages directly on an instance.
  • It does not support execution of non-containerized applications.
  • The kernel is locked down.
  • It is not supported outside of the GCP environment.

Running a simple Windows container on Compute Engine

Let's assume we have a Windows VM up and running with the Windows Server...