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Hands-On Serverless Computing with Google Cloud
Hands-On Serverless Computing with Google Cloud

Hands-On Serverless Computing with Google Cloud: Build, deploy, and containerize apps using Cloud Functions, Cloud Run, and cloud-native technologies

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Hands-On Serverless Computing with Google Cloud

Introducing App Engine

In this first chapter, we will discuss the main properties of Google App Engine (GAE) and its Platform-as-a-Service (PaaS) approach. Available since 2008, GAE provides a serverless environment in which to deploy HTTP/web-based applications.

Throughout this chapter, we will explore GAE's framework and structure to see how highly scalable applications are made possible on this platform. As part of this, we will consider how to integrate standard web primitives such as traffic splitting and API management on GAE. By the end of this chapter, you should have a solid foundation to help you build web-based applications using GAE quickly.

In a nutshell, we will cover the following topics in this chapter:

  • Introducing GAE
  • Understanding the GAE framework
  • Defining App Engine components
  • Understanding GAE's features

...

Introducing GAE

When it comes to software engineering innovation, it is clear that Google has a rich history. This innovation has been evident across many successful projects, including several billion-user products brought to market, such as Google Search, Android, and YouTube. Google Cloud and its vibrant ecosystem of services provide tools built to serve these critical projects, and now you can host your application on the same platform.

GAE is designed to host web-based applications and elegantly handle request/response communications. Understanding how to achieve this on Google Cloud will be central to building consistent and efficient applications that can delight end users with their responsiveness.

Before delving into the details of GAE, let's spend some time discussing the rationale behind the application platform. For the following paragraphs, we will outline the...

Understanding the App Engine framework

Exploring the general architecture of App Engine brings to light how much of the underlying framework has been put in place to deliver integrated workflows for web application development.

Google has bundled many internal services to minimize the effort needed by developers to make their applications cloud-native. Added to that is the innate ability of the GAE service to automatically scale without any additional actions required on the part of the service creator.

Creating a web application on this platform can be as simple as deploying your code to the App Engine environment. However, behind the scenes, there are several activities taking place to ensure that the application is deployed successfully, the infrastructure is provisioned, and the whole thing is ultimately able to scale intelligently. So, what is happening in the underlying...

Defining App Engine components

The objective of this section is to describe the details of GAE. The nature of the GAE application platform is to provide a serverless application environment that is capable of supporting multiple language runtimes. Runtime support requires that there are two versions of App Engine in existence. A critical difference between these environments relates to the language runtimes supported.

Runtime languages supported

Historically, the GAE runtime only supported a limited number of languages, but this has expanded over time to provide a broader range. A limitation on runtime languages was one of the most common criticisms of the original version of GAE when it was released over a decade ago. This...

Understanding App Engine features

Throughout the next few sub-sections, we will describe some of the critical facets of GAE, starting with application versioning.

Application versioning

GAE uses a configuration file to manage application versions to deploy. The configuration file for the runtime selected, for example, app.yaml for Python deployments, contains the version ID associated with your application. In addition to the version, an application default denotes the primary instance to the system.

Each application version deployed will maintain its distinct URL so that the developer can view multiple versions at the same time. Similarly, releases can be upgraded or rolled back depending on the deployment scheme selected...

Summary

In this chapter, we covered a high-level introduction into the fully managed application platform App Engine. Working in this environment illustrates many of the usual infrastructure tasks related to development are performed automatically without recourse to the developer.

In general, GAE deployment is a fully managed activity that requires very little interaction to build, host, or execute code. The environment typically consists of a load balancer, a compute tier, and a services layer, all working in tandem to provide an integrated application platform. GAE provides a low-effort development environment built to do much of the heavy lifting for developers.

Now we have a general understanding of the App Engine environment. The next chapter will focus on introducing code samples to flesh out our experience and skill level.

...
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Key benefits

  • Use real-world use cases to understand the core functionalities of Functions as a Service
  • Explore the potential of Cloud Run, Knative, Cloud Build, Google Kubernetes Engine, and Cloud Storage
  • Get to grips with architectural decisions, seamless deployments, containerization, and serverless solutions

Description

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.

Who is this book for?

If you are a cloud administrator, architect, or developer who wants to build scalable systems and deploy serverless workloads on Google Cloud, then this book is for you. To get the most out of this book, a basic understanding of the serverless ecosystem and cloud computing will be beneficial.

What you will learn

  • Explore the various options for deploying serverless workloads on Google Cloud
  • Determine the appropriate serverless product for your application use case
  • Integrate multiple lightweight functions to build scalable and resilient services
  • Increase productivity through build process automation
  • Understand how to secure serverless workloads using service accounts
  • Build a scalable architecture with Google Cloud Functions and Cloud Run

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Feb 14, 2020
Length: 320 pages
Edition : 1st
Language : English
ISBN-13 : 9781838827991
Vendor :
Google
Concepts :

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Product Details

Publication date : Feb 14, 2020
Length: 320 pages
Edition : 1st
Language : English
ISBN-13 : 9781838827991
Vendor :
Google
Concepts :

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Table of Contents

18 Chapters
Section 1: App Engine Chevron down icon Chevron up icon
Introducing App Engine Chevron down icon Chevron up icon
Developing with App Engine Chevron down icon Chevron up icon
Section 2: Google Cloud Functions Chevron down icon Chevron up icon
Introducing Lightweight Functions Chevron down icon Chevron up icon
Developing Cloud Functions Chevron down icon Chevron up icon
Exploring Functions as a Service Chevron down icon Chevron up icon
Cloud Functions Labs Chevron down icon Chevron up icon
Section 3: Google Cloud Run Chevron down icon Chevron up icon
Introducing Cloud Run Chevron down icon Chevron up icon
Developing with Cloud Run Chevron down icon Chevron up icon
Developing with Cloud Run for Anthos Chevron down icon Chevron up icon
Cloud Run Labs Chevron down icon Chevron up icon
Section 4: Building a Serverless Workload Chevron down icon Chevron up icon
Building a PDF Conversion Service Chevron down icon Chevron up icon
Consuming Third-Party Data via a REST API Chevron down icon Chevron up icon
Assessments Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

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David Renton Jun 10, 2021
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Great book, great to follow allong and as a reference
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