Book Image

Serverless Programming Cookbook

By : Heartin Kanikathottu

Book Image

Serverless Programming Cookbook

By: Heartin Kanikathottu

Overview of this book

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.

Preface

Who this book is for

What this book covers

To get the most out of this book

Free Chapter

Getting Started with Serverless Computing on AWS

Getting Started with Serverless Computing on AWS

Getting started with the AWS platform

Your first AWS Lambda

Your first Lambda with AWS CLI

Your first Lambda with Amazon CloudFormation

Using AWS SDK, Amazon CloudFormation, and AWS CLI with Lambda

Dev Practices – dependency injection and unit testing

Your first Lambda with serverless framework

Building Serverless REST APIs with API Gateway

Building Serverless REST APIs with API Gateway

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 with mapping templates

Validating request payloads with models

Lambda and API with proxy integration

Data Storage with Amazon DynamoDB

Data Storage with Amazon DynamoDB

Your first DynamoDB table

Throughput provisioning examples

Working with data from the CLI

Using the DynamoDB SDK from Lambda

Creating tables from Lambda

Adding data items from Lambda

Reading data from Lambda

Application Security with Amazon Cognito

Application Security with Amazon Cognito

Creating a Cognito user pool

Server-side authentication flow

Client-side authentication flow

User sign-up flow with Cognito

Working with groups

Integrating Cognito with the API gateway

User sign-up with SMS verification and MFA

Web Hosting with S3, Route53, and CloudFront

Web Hosting with S3, Route53, and CloudFront

Setting up an S3 static website

Setting up CloudFront for an S3 website

Registering a domain name with Route 53

Using domains registered with other registrars

Using custom domains with S3 static websites

Using custom domain names with CloudFront

Using HTTPS with a CloudFront domain

Messaging and Notifications with SQS and SNS

Messaging and Notifications with SQS and SNS

Your first SQS queue (AWS CLI + CloudFormation)

Creating an SQS queue and sending messages with SDK (Java)

Receiving and sending SQS messages in batches with SDK (Java)

Invoking the Lambda with an SQS event (Java)

Your first SNS topic for email and SMS (AWS CLI + CloudFormation)

Publishing to an SNS topic with SDK (Java)

Invoking a Lambda with SNS events (Java)

Redshift, Amazon ML, and Alexa Skills

Redshift, Amazon ML, and Alexa Skills

Your first Kinesis data stream (AWS CLI)

Writing data into Kinesis Stream with SDK (Java)

Invoking Lambda with Kinesis events (Java)

Using Amazon ML for binary classification (AWS CLI)

Building and testing an Alexa skill (Java for Lambda, CLI for Alexa skill)

Monitoring and Alerting with Amazon CloudWatch

Monitoring and Alerting with Amazon CloudWatch

Checking logs, insights, and metrics (Console)

Your first custom metric (AWS CLI)

Setting up CloudWatch alarms (AWS CLI)

CloudWatch alarms with dimensions (AWS CLI)

Using CloudWatch metric log filters

Serverless Programming Practices and Patterns

Serverless Programming Practices and Patterns

Enabling CORS for the API and testing with CodePen

Implementing and testing Cognito operations with the JavaScript SDK

Federated identity with Amazon Cognito

Creating SSL/TLS certificate with ACM

Fan-in and fan-out architectural patterns with AWS

Other Cloud Providers

Other Cloud Providers

Your first Serverless application in Azure

Your first serverless application on Google Cloud Platform

Your first Serverless application on IBM cloud

Other Books You May Enjoy

Other Books You May Enjoy

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Introduction

In this chapter, we will learn to build a data store for our serverless applications using Amazon DynamoDB. DynamoDB is a fully managed NoSQL database service and is the primary data store in AWS for building serverless applications. If you have strict relational use cases, you may also consider Amazon Aurora, which is a fully managed relational database service. If you need more analytical features, such as aggregations, along with NoSQL flexibility, you may explore the Amazon Elasticsearch service.

A relational data model table consists of rows (records) with a fixed number of columns, and is queried using Structured Query Language (SQL). Different NoSQL databases are classified into different families, such as key-value store, document store, columnar, graph, and so on, and have different query mechanisms. DynamoDB has characteristics of both key-value and document...