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

Developing a document service

In the previous section, we outlined an architecture for our serverless application. During this analysis phase, we worked out the high-level components required and then theorized on the type of activities required. Creating a document service requires the creation of a Cloud Run service to consume information from a Cloud Pub/Sub subscription. As we have chosen to minimize the code development process, our productivity has been significantly increased. Code for complex notifications and message queues has been deferred to existing mechanisms managed by Google Cloud. Instead, we will concentrate on building only the specific element needed for our requirements, for example, PDF conversion.


In your Google Cloud project, open Cloud Shell and make sure a clone of the lab repository for Chap11 is available.
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