Book Overview & Buying
Table Of Contents

Building Serverless Architectures

By : Gurturk

Buy this Book

Building Serverless Architectures

By: Gurturk

Buy this Book

Overview of this book

Over the past years, all kind of companies from start-ups to giant enterprises started their move to public cloud providers in order to save their costs and reduce the operation effort needed to keep their shops open. Now it is even possible to craft a complex software system consisting of many independent micro-functions that will run only when they are needed without needing to maintain individual servers. The focus of this book is to design serverless architectures, and weigh the advantages and disadvantages of this approach, along with decision factors to consider. You will learn how to design a serverless application, get to know that key points of services that serverless applications are based on, and known issues and solutions. The book addresses key challenges such as how to slice out the core functionality of the software to be distributed in different cloud services and cloud functions. It covers basic and advanced usage of these services, testing and securing the serverless software, automating deployment, and more. By the end of the book, you will be equipped with knowledge of new tools and techniques to keep up with this evolution in the IT industry.

Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Free Chapter

Getting Started with Serverless

Preparing the environment

Gradle

Summary

Bibliography

Infrastructure as a Code

Uploading the artifacts to Cloud

Infrastructure as Code with CloudFormation

Deploying our first Lambda with CloudFormation

Summary

Hello Internet

Setting up API Gateway

Setting up the CloudFront CDN distribution

Summary

Applying Enterprise Patterns

Creating User Service

Configuring Guice

Writing the Lambda Handler class with injected dependency

Adding logging

Service dependencies

Summary

Persisting Data

Introduction to DynamoDB

Creating the first table

Summary

Building Supporting Services

Writing the foundation of a Lambda function

Letting users upload to S3

Sending emails via SES

Consuming the SNS message and sending emails

Summary

Searching Data

Creating the search domain

Uploading test data

Creating the suggester

Creating the API endpoint for suggestions

Lambda function for updating search data

Summary

Monitoring, Logging, and Security

Setting up a Route53 health check

Wrapping everything up in CloudFormation

Creating CloudWatch metrics from application logs

Running Lambda functions in VPC

Summary

Lambda Framework

Getting to know Lambda Framework

Summary

Uploading test data

We can now directly upload some documents from DynamoDB to the CloudSearch domain, so we can directly try out our new search engine.

CloudSearch provides another wizard for that purpose, which can be accessed from the domain's dashboard:

To launch the wizard, you can click on the Upload Documents button. After that, you'll see a couple of options:

We should select the Item(s) from Amazon DynamoDB option to proceed with DynamoDB and then click on Continue. In the next step, a sample from our table will be read and analyzed against index structure. As all the fields we have in the user table are also indexed in the CloudSearch table, there should not be any problem: