Book Image

Hands-On Serverless Computing with Google Cloud

By : Richard Rose
Book Image

Hands-On Serverless Computing with Google Cloud

By: Richard Rose

Overview of this book

Google Cloud's serverless platform allows organizations to scale fully managed solutions without worrying about the underlying infrastructure. With this book, you will learn how to design, develop, and deploy full stack serverless apps on Google Cloud. The book starts with a quick overview of the Google Cloud console, its features, user interface (UI), and capabilities. After getting to grips with the Google Cloud interface and its features, you will explore the core aspects of serverless products such as Cloud Run, Cloud Functions and App Engine. You will also learn essential features such as version control, containerization, and identity and access management with the help of real-world use cases. Later, you will understand how to incorporate continuous integration and continuous deployment (CI/CD) techniques for serverless applications. Toward the concluding chapters, you will get to grips with how key technologies such as Knative enable Cloud Run to be hosted on multiple platforms including Kubernetes and VMware. By the end of this book, you will have become proficient in confidently developing, managing, and deploying containerized applications on Google Cloud.
Table of Contents (19 chapters)
1
Section 1: App Engine
4
Section 2: Google Cloud Functions
9
Section 3: Google Cloud Run
14
Section 4: Building a Serverless Workload

Summary

In this chapter, we introduced the high-level concept of Kubernetes and then looked at how Cloud Run for Anthos can be used. If your platform of choice is Kubernetes, Cloud Run for Anthos is the path to follow. As we have seen, the migration between non-Kubernetes and Kubernetes environments requires no additional configuration as the delivery artifact is based on a container.

Through this chapter, we have discovered a more productive way to incorporate Cloud Build into our developer workflow. Utilizing the developer tools provided by Google is a sensible way to minimize the repetitive aspects that are integral to the build and deploy process.

In the next chapter, we develop a couple of Cloud Run examples to illustrate some key features. Working through some example use cases will help to illustrate how to utilize Cloud Run in your own projects.

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