Become a Professional Cloud Architect by exploring the essential concepts, tools, and services in GCP and working through practice tests designed to help you take the exam confidently
Key Features
Plan and design a GCP cloud solution architecture
Ensure the security and reliability of your cloud solutions and operations
Assess your knowledge by taking mock tests with up-to-date exam questions
Book DescriptionGoogle 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.
What you will learn
Understand the benefits of being a Google Certified Professional Cloud Architect
Find out how to enroll for the Professional Cloud Architect exam
Master the compute options in GCP
Explore security and networking options in GCP
Get to grips with managing and monitoring your workloads in GCP
Understand storage, big data, and machine learning services
Become familiar with exam scenarios and passing strategies
Who this book is forIf you are a cloud architect, cloud engineer, administrator, or any IT professional looking to learn how to implement Google Cloud services in your organization and become a GCP Certified Professional Cloud Architect, this book is for you. Basic knowledge of server infrastructure, including Linux and Windows Servers, is assumed. A solid understanding of network and storage will help you to make the most out of this book.
Auflage
Sprache
Verlagsort
Editions-Typ
Maße
Höhe: 235 mm
Breite: 191 mm
Dicke: 35 mm
Gewicht
ISBN-13
978-1-80181-229-0 (9781801812290)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Konrad Clapa is a Certified Google Trainer and Lead Cloud Architect working for Atos R&D. He has over 12 years' experience in the IT industry. He holds over 40 IT certification. This includes all 12/12 active Google Cloud Platform certifications making him the first in the world to achieve it. He is also listed among 40 individuals who hold Google Cloud Certified Fellow certificate. Sharing knowledge has always been important to him, so he contributes to the community by acting as a leader for a local Google Cloud Developer group. Funny fact about Konrad is that till now he never failed a GCP exam attempt including multiple beta exams that he has taken.
Brian Gerrard is currently a DevOps Engineer from Scotland with over 15 years' experience in the IT industry. As well as holding the Google Certified Professional Architect and Google Certified Associate Engineer certifications, he is certified in Azure, AWS, Terraform and VMware. Brian is a firm believer in lifelong learning, and you will regularly find him contributing to his local user groups.
Table of Contents
GCP Cloud Architect Professional
Getting Started with Google Cloud Platform
Google Cloud Platform Core Services
Working with Google Compute Engine
Exploring Google App Engine as a Compute Option
Managing Kubernetes Clusters with Google Kubernetes Engine
Deploying Cloud-Native Workloads with Cloud Run
Managing Cloud-Native Workloads with Anthos
Running Serverless Functions with Google Cloud Functions
Networking Options in GCP
Exploring Storage and Database Options in GCP - Part 1
Exploring Storage and Database Options in GCP - Part 2
Analyzing Big Data Options
Putting Machine Learning to Work
Security and Compliance
Google Cloud Management Options
Monitoring Your Infrastructure
Case Studies
Test Your Knowledge
