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

Chapter 1: Introducing App Engine

  1. Push Queue and Pull Queue are the types of service dispatch that are supported by task queues.
  2. The two levels of service supported by memcache are Shared Memcache and Dedicated Memcache.
  3. Cloud Datastore is a managed schemaless (NoSQL) document database.
  4. Language supported by GAE: Python, Go, Node, and PHP.
  5. IP traffic, Cookie, and Random are the forms of traffic-splitting algorithms that are supported on GAE.
  6. The purpose of GFE in relation to GAE is routing of Google App Engine traffic through an autoscaling infrastructure.
  7. The three types of scaling supported by GAE are Automatic, Basic, and Manual.
  8. Task queues mechanism is used to isolate long-lived workloads for efficiency purposes from the HTTP request/response life cycle.