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)

Introduction to DynamoDB

As the AWS documentation states, Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. With AmazonDB, you do not need to worry about the administrative aspects of a database engine; you create tables, define indexes to be used to search the data, and use it with SDKs available to many programming languages. DynamoDB tables can scale up and scale down as you need; the only thing you have to do is adjust the reserved throughput capacity.

In DynamoDB, you work with tables, items, and attributes. Let's briefly explain these concepts:

  • Tables: Similar to other database systems, DynamoDB stores data in different tables. For example, we will have three tables, Tokens, Users, and Threads, which will store three different data types.
  • Items: Items are like rows in relational database...