What this book covers
Chapter 1, GCP Cloud Architect Professional, discusses the benefits of
becoming a certified architect, how to register for the exam, and what to
expect when you are in the test center.
Chapter 2
...
What this book covers
Chapter 1, GCP Cloud Architect Professional, discusses the benefits of
becoming a certified architect, how to register for the exam, and what to
expect when you are in the test center.
Chapter 2, Getting Started with Google Cloud Platform, covers the
basics of GCP and how it positions itself on the market. You will learn
about all the major GCP services that are available.
Chapter 3, Google Cloud Platform Core Services, examines the most
important GCP services, including computing, storage, networking, big
data, and machine learning.
Chapter 4, Working with Google Compute Engine, examines how to
create and run virtual machine instances on top of the Google Compute
Engine (GCE) service.
Chapter 5, Managing Kubernetes Clusters with Google Kubernetes
Engine, explains the basis of containers and microservices. It looks at
running and managing Kubernetes clusters on the Google Kubernetes
Engine (GKE) service.
Chapter 6, Exploring Google App Engine as a Compute
Option, discusses how to define and run applications on Google App
Engine.
Chapter 7, Running Serverless Functions with Google Cloud
Functions, looks into running serverless functions on Google Cloud
Functions.
Chapter 8, Networking Options in GCP, discusses Google's networking
services. Understanding networking is key to successfully completing
the architect exam. We will introduce you to concepts such as Virtual
Private Cloud (VPC), before diving further into other concepts such
as Virtual Private Network (VPN), networks, subnetworks, and routes.
Chapter 9, Exploring Storage Options in GCP – Part 1, considers
different storage options. This will allow us to choose the right storage
for a given use case. We will discuss object storage alongside relational
and non-relational databases.
Chapter 10, Exploring Storage Options in GCP – Part 2, looks at storage
options such as Cloud Spanner and Bigtable.
Chapter 11, Analyzing Big Data Options, discusses how big data is
another key topic in the architect exam. Understanding what big data is,
and what services GCP offers to handle the complexities of data
analytics, will really help you in the test center when taking the exam. In
this chapter, we will look at the various services that are available, and
when we might choose one over the other.
Chapter 12, Putting Machine Learning to Work, examines machine
learning in general as well as GCP-related services. This will allow us to
understand the use cases and possible implementations of ML using
Google Cloud.
Chapter 13, Security and Compliance, covers security, which is a feature
of all GCP services. In this chapter, we will cover IAM in more detail
than we have in previous chapters, to allow you to understand custom
roles and service accounts. Additionally, we will look at Google's
commitments to compliance; for example, through the Payment Card
Industry (PCI) regulations.
Chapter 14, Google Cloud Management Options, shows you that there
are a number of ways to manage your GCP infrastructure and its
services. In this chapter, we will look at how to manage your GCP
infrastructure and the key management options that are available,
including Cloud Shell, SDK, and gcloud, and the steps that are needed to
access or install these tools.
Chapter 15, Monitoring Your Infrastructure, looks at monitoring your
infrastructure using Stackdriver.
Chapter 16, Case Studies, discusses how, in the exam, some questions
may refer you to several case studies. You should be familiar with these
case studies before you take the exam. These
involve hypothetical business and solution concepts. In this chapter, we
will cover how to find these case studies; additionally, we will also take
a look at an example case study and analyze it in order to design an
appropriate solution.
Chapter 17, Test your Knowledge, goes through exam tips and sample
tests.
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