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

Cloud Run versus Cloud Run for Anthos

Fundamentally, Cloud Run is a serverless platform for stateless workloads. For this solution, there is no requirement for infrastructure management. Alternatively, you may have an existing Kubernetes cluster. In this scenario, all of your workloads run from this environment. Additionally, you may need features such as namespacing, control over pod colocation, or additional telemetry. In this case, Cloud Run on Anthos provides a more considered choice. In both instances, the workloads to be deployed remain the same, so as a developer, the associated effort does not increase, despite the apparent differences in terms of deployment platform.

To understand what we mean in terms of Cloud Run/Cloud Run for Anthos, let's start with a diagram. This will help us to observe the technology stack of each so that we can understand the workflow:

In...