Building Serverless Applications with Google Cloud Run [Book Summary]

Google Cloud Run lets you deploy your
containerized application on a highly scalable
serverless platform. Learn how to make the
most of the platform in this new book.
The print edition will become available in mid-
to late December. Pre-order today to make
sure you get your copy in time for the holiday
break. Subscribe to O'Reilly Online Learning to
read the ebook.
Chapter Outline: Learn more ☛

Chapter 1: Introduction
Chapter 1 gives a general overview of what a serverless application is and introduces
you to Google Cloud and its serverless products, without going into too much depth. If
you are new to building serverless applications on Google Cloud, this will be a great
introduction.
Building Serverless Applications with Google Cloud Run - Pre-order today - © 2020 O'Reilly Media, Inc - Author Wietse Venema

Chapter 2: Understanding Cloud Run
This chapter is a hands-on introduction to Cloud Run. I show you how to get started with
Google Cloud and deploy your ﬁrst Cloud Run service.
Once you’ve experienced its look and feel, I’ll explain the runtime characteristics of Cloud Run
that inﬂuence the way you build your application, as well as the other serverless runtimes on
Google Cloud: App Engine and Cloud Functions.

Chapter 3: Building Containers
In this chapter you’ll ﬁnd a thorough
introduction to application
development with containers.
I’ll show you how to run containers
on your local machine with Docker
and create your own container
images (with and without Docker),
and I’ll dive into the fundamentals of
containers.

Chapter 4: Working with a
Relational Database
Even an application on a hyper-scalable
serverless container platform needs data in order
to be interesting.
I’ll show you how to connect with Cloud SQL
(managed relational databases such as MySQL
and PostgreSQL), and how to keep Cloud SQL
running when your application scales to 1,000
containers.

Chapter 5: Working With HTTP Sessions
In this chapter, I’ll show you how to persist data in
Redis, using the managed product Memorystore
on Google Cloud.
Memorystore only has a private IP. You’ll discover
how to connect to any private IP in your Google
Cloud project from Cloud Run, using VPC
Connector.

Chapter 6: Service Identity and Authentication
Especially if you are building a
more serious application, you’ll want
to make sure that every Cloud Run
service in your system has only the
permissions to do exactly what it
needs to do.
I’ll introduce you to Cloud Identity
and Access Management (IAM) in
chapter 6.

Chapter 7: Task Scheduling
Most applications need to schedule tasks to be
executed later.
On a traditional server, you handle tasks by
spawning a background thread or scheduling a
cron job, but these approaches are not
compatible with serverless environments like
Cloud Run.
In this chapter, I’ll show you how to handle task
scheduling in Cloud Run.

Chapter 8: Infrastructure as Code using Terraform
If you are working together with a team to build an application, or if you want to set up reproducible
environments, you might be tempted to set everything up using one-oﬀ commands or scripts.
However, doing so can lead you into problems. This is why I cover Infrastructure as Code using
Terraform; it lets you can recreate your entire project using a single command.

Chapter 9: Structured Logging and Tracing
Getting logging right is fundamentally important when you run a system in production. I’ll
show you how to add request and trace context to your logs, as well as additional
metadata. If you get this right from the start, you’ll have an easier time debugging problems
in production.

Chapter 10: Cloud Run and Knative Serving
In the last chapter of the book, I
move beyond day-to-day concerns
and think about the future. If you
build your application on top of a
vendor-controlled platform, you
should consider the risk of vendor
lock-in. Cloud Run is API-compatible
with the open source product
Knative Serving, but what does that
mean in practice? I’ll show you with
a hands-on example.

Wietse Venema is a software engineer. If he's not
training teams to build scalable and reliable software,
he's ﬁguring out how things work so he can be a better
engineer and teacher. He's proud to be the name twin
(not family) of the famous Wietse Venema, who wrote
Postﬁx.
About the Author

Building Serverless Applications with Google Cloud Run [Book Summary]

Recommended

Recommended

More Related Content

More from Daniel Zivkovic

More from Daniel Zivkovic (20)

Recently uploaded

Recently uploaded (20)

Building Serverless Applications with Google Cloud Run [Book Summary]