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Serverless Programming Cookbook
Serverless Programming Cookbook

Serverless Programming Cookbook: Practical solutions to building serverless applications using Java and AWS

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Serverless Programming Cookbook

Building Serverless REST APIs with API Gateway

This chapter will cover the following topics:

  • Building your first API using the AWS CLI
  • Building your first API using Amazon CloudFormation
  • Building your first API with Lambda integration
  • Building and testing your first POST API method
  • Mapping requests and responses using mapping templates
  • Validating request payloads with models
  • Using Lambda and APIs with proxy integration

Introduction

An application programming interface (API) is a set of methods that allow us to programmatically access a component. APIs can be built for different layers, such as the web (http/rest), database, and operating system layers, and so on. A representational state transfer (REST) API is an API that uses REST principles and HTTP protocol to build web APIs that can be programmatically consumed by clients over a network, such as the internet.

Amazon API Gateway is the primary service within AWS for building serverless, scalable, and secure REST APIs. It acts as a gateway between your application and the outside world. You only pay for the API calls and data that are transferred out, and you do not have to maintain a server. It also provides support for testing, authorization, API version management, deployment, and maintaining and monitoring your REST APIs.

Amazon API...

Building your first API using the AWS CLI

In this recipe, we will create a simple REST API with mock integration, using CLI commands. We will specify a name as a path parameter, and the API will greet that person. In the next recipe, we will use CloudFormation templates to create the API. From that point, we will use both the CLI commands and the CloudFormation templates.

In Chapter 1, Getting Started with Serverless Computing on AWS, we created Lambdas using the management console, the CLI, CloudFormation, and the serverless framework. From this chapter onward, we will mostly focus on using CloudFormation templates, but we will first discuss the corresponding CLI commands, as they can help us to better understand the templates.

Getting ready

...

Building your first API using Amazon CloudFormation

In the previous recipe, we built a simple REST API using the AWS CLI. In this recipe, we will use the CloudFormation template to create an API and understand the benefits of using CloudFormation over the AWS CLI. Most enterprise projects use CloudFormation templates for their infrastructure provisioning in AWS.

Getting ready

In this recipe, we will use the CloudFormation templates written in YAML. To deploy those templates, we will still use the AWS CLI. So, a basic understanding of CloudFormation, the AWS CLI, and YAML are good to have. If you are new to these, please refer to the respective Your first AWS Lambda recipe from Chapter 1, Getting Started with Serverless Computing...

Building your first API with Lambda integration

In the previous two recipes in this chapter, we created an API with mock integration. We also discussed REST principles, HTTP essentials, and the AWS CLI commands and CloudFormation template components used. In this recipe, we will integrate an API gateway API with Lambda. The API is similar to the previous one (with a path parameter), but we will use an AWS integration instead of mock integration.

Getting ready

You need an active AWS account. You need to follow the section Getting started in the recipes Your first AWS Lambda and Your first Lambda with AWS CLI from Chapter 1, Getting Started with Serverless Computing on AWS, to set up Java, Maven, the parent project, serverless...

Building and testing your first POST API method

In this recipe, we will create a simple POST API method that has an AWS integration with Lambda. A REST client will send a JSON request body to the API method in the format required by our Lambda, which will be passed through to the Lambda. We will use the same Lambda from the previous recipe.

GET is the default HTTP method for web browser requests; hence, we could invoke GET API methods from the browser in the previous recipes. To invoke other HTTP methods or override various HTTP options, we need to use a REST client. We will use the Postman REST client, which is available as a standalone app, as well as an extension to the Chrome browser.

Getting ready

You need an active...

Mapping requests and responses with mapping templates

Amazon API Gateway allows us to map our incoming requests to a format that's required by our Lambda, and map the response from the Lambda into a format that's required by the client, all by using the mapping templates. The API Gateway body mapping templates are based on the Apache Velocity Template Language (VTL) and JSONPath expressions.

In this recipe, we will see how to map a JSON body coming from a request into another JSON structure, as required by the backend (Lambda). We will also map the JSON response from the backend (Lambda) into a different JSON response structure which is sent back as the response. We will use the same Lambda from the recipe Building your first API with Lambda integration, but the client will send the request in a different format.

...

Validating request payloads with models

In this recipe, we will add validation to request payloads by using models. We will define a model by using the JSON schema draft language, and we will then use it to validate our payloads. We will use the same Lambda that we used in the recipe Building your first API with Lambda integration.

Getting ready

You need an active AWS account. You need to follow the section Getting started in the recipes Your first AWS Lambda and Your first Lambda with AWS CLI from Chapter 1, Getting Started with Serverless Computing on AWS to set up Java, Maven, the parent project, serverless-cookbook-parent-aws-java, and AWS CLI, and may also read other notes there including code usage guidelines, S3 bucket...

Lambda and API with proxy integration

In this recipe, we will configure our API to act as a proxy for a Lambda. We will create a new Lambda function that extracts the required data from the incoming request. While using proxy integration, Lambda needs to implement the low-level RequestStreamHandler that gives us access to the InputStream and OutputStream.

Getting ready

You need an active AWS account. You need to follow the section Getting started in the recipes Your first AWS Lambda and Your first Lambda with AWS CLI from Chapter 1, Getting Started with Serverless Computing on AWS to set up Java, Maven, the parent project, serverless-cookbook-parent-aws-java, and AWS CLI, and may also read other notes there including code...

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Key benefits

  • Build serverless applications with AWS Lambda, AWS CloudFormation and AWS CloudWatch
  • Perform data analytics and natural language processing(NLP)on the AWS serverless platform
  • Explore various design patterns and best practices involved in serverless computing

Description

Managing physical servers will be a thing of the past once you’re able to harness the power of serverless computing. If you’re already prepped with the basics of serverless computing, Serverless Programming Cookbook will help you take the next step ahead. This recipe-based guide provides solutions to problems you might face while building serverless applications. You'll begin by setting up Amazon Web Services (AWS), the primary cloud provider used for most recipes. The next set of recipes will cover various components to build a Serverless application including REST APIs, database, user management, authentication, web hosting, domain registration, DNS management, CDN, messaging, notifications and monitoring. The book also introduces you to the latest technology trends such as Data Streams, Machine Learning and NLP. You will also see patterns and practices for using various services in a real world application. Finally, to broaden your understanding of Serverless computing, you'll also cover getting started guides for other cloud providers such as Azure, Google Cloud Platform and IBM cloud. By the end of this book, you’ll have acquired the skills you need to build serverless applications efficiently using various cloud offerings.

Who is this book for?

For developers looking for practical solutions to common problems while building a serverless application, this book provides helpful recipes. To get started with this intermediate-level book, knowledge of basic programming is a must.

What you will learn

  • Serverless computing in AWS and explore services with other clouds
  • Develop full-stack apps with API Gateway, Cognito, Lambda and DynamoDB
  • Web hosting with S3, CloudFront, Route 53 and AWS Certificate Manager
  • SQS and SNS for effective communication between microservices
  • Monitoring and troubleshooting with CloudWatch logs and metrics
  • Explore Kinesis Streams, Amazon ML models and Alexa Skills Kit
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Table of Contents

11 Chapters
Getting Started with Serverless Computing on AWS Chevron down icon Chevron up icon
Building Serverless REST APIs with API Gateway Chevron down icon Chevron up icon
Data Storage with Amazon DynamoDB Chevron down icon Chevron up icon
Application Security with Amazon Cognito Chevron down icon Chevron up icon
Web Hosting with S3, Route53, and CloudFront Chevron down icon Chevron up icon
Messaging and Notifications with SQS and SNS Chevron down icon Chevron up icon
Redshift, Amazon ML, and Alexa Skills Chevron down icon Chevron up icon
Monitoring and Alerting with Amazon CloudWatch Chevron down icon Chevron up icon
Serverless Programming Practices and Patterns Chevron down icon Chevron up icon
Other Cloud Providers Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

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Full star icon Full star icon Full star icon Full star icon Half star icon 4.6
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5 star 86.7%
4 star 0%
3 star 6.7%
2 star 0%
1 star 6.7%
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bony Mar 07, 2019
Full star icon Full star icon Full star icon Full star icon Full star icon 5
An excellent introduction to serverless programming. The Book support forum at author’s blog heartin.tech is a new concept for me.
Amazon Verified review Amazon
Amazon Customer Mar 29, 2019
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book, along with support forum at heartin.tech, is like attending an university course on AWS cloud with a prescribed text book.
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Sneha Apr 13, 2019
Full star icon Full star icon Full star icon Full star icon Full star icon 5
No book will be free of typos. Book has an errata page associated with the book support program at heartin.tech. If you find a new issue not present already there and report it at heartin.tech you can also get rewards including cashbacks and discounts on future editions. Book's errata with rewards program is available at heartin.tech/en/serverless-programming-cookbook-errata.
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Deni May 02, 2019
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I always think why buy books when they are available to read on many websites with subscription. But this one is different. The book support program from author at his website is very good. It is like joining a course on Serverless computing and AWS cloud.
Amazon Verified review Amazon
Sandeep Mar 20, 2019
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book provides all information required to kick off your live into server-less computing with AWS. It covers all the AWS services including S3, Lambda, DynamoDB which will help to setup a server-less stack within no-time. The author has provided very intrusive guide to all the services which is always good for a beginner. It also covers the best practices and practical solutions for the problems you can solve using server-less computing. Book support program available at author’s website heartin.tech is a nice idea too. Highly recommended book for a server-less enthusiast, also for anyone who wants to climb the ladder of server-less computing (which is the future of cloud computing)
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