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

Section 2: Manage, Design, and Plan a Cloud Solution Architecture

In this section, we will focus on the various GCP services in more detail. By examining these services, we will demonstrate how to manage, design, and plan solutions based on GCP.

This part of the book comprises the following chapters:

  • Chapter 4, Working with Google Compute Engine
  • Chapter 5, Exploring Google App Engine as a Compute Option
  • Chapter 6, Managing Kubernetes Clusters with Google Kubernetes Engine
  • Chapter 7, Deploying Cloud-Native workloads with Cloud Run
  • Chapter 8, Managing Cloud-Native workloads with Anthos
  • Chapter 9, Running Serverless Functions with Google Cloud Functions
  • Chapter 10, Networking Options in GCP
  • Chapter 11, Exploring Storage and Database Options in GCP – Part 1
  • Chapter 12, Exploring Storage and Database Options in GCP – Part 2
  • Chapter 13, Analyzing Big Data Options
  • Chapter 14, Putting Machine Learning to Work