Book Image

Building Serverless Architectures

By : Cagatay Gurturk
Book Image

Building Serverless Architectures

By: Cagatay Gurturk

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.
Table of Contents (10 chapters)

Searching Data

In the last chapter, we saw how to build surrounding services around our serverless application with minimal custom code usage. In this chapter, we will also develop a supporting service which is search. Content is the king, and it is very important to help your users discover the most relevant content in your application.

Search is a huge topic that many books can be written about, but in this chapter, we wanted to show one of the AWS offerings that lets you build a simple search engine: CloudSearch. CloudSearch is a fully managed service built on top of SOLR and provides a simple API to index and search documents, as well as build a suggestion feature.

If your needs are more complex, you may consider using the ElasticSearch service. This is managed Elasticsearch cluster provisioning server, but in this case, you would be using AWS APIs just to provision your cluster...