Book Image

AWS SysOps Cookbook - Second Edition

By : Eric Z. Beard, Rowan Udell, Lucas Chan
Book Image

AWS SysOps Cookbook - Second Edition

By: Eric Z. Beard, Rowan Udell, Lucas Chan

Overview of this book

AWS is an on-demand remote computing service providing cloud infrastructure over the internet with storage, bandwidth, and customized support for APIs. This updated second edition will help you implement these services and efficiently administer your AWS environment. You will start with the AWS fundamentals and then understand how to manage multiple accounts before setting up consolidated billing. The book will assist you in setting up reliable and fast hosting for static websites, sharing data between running instances and backing up data for compliance. By understanding how to use compute service, you will also discover how to achieve quick and consistent instance provisioning. You’ll then learn to provision storage volumes and autoscale an app server. Next, you’ll explore serverless development with AWS Lambda, and gain insights into using networking and database services such as Amazon Neptune. The later chapters will focus on management tools like AWS CloudFormation, and how to secure your cloud resources and estimate costs for your infrastructure. Finally, you’ll use the AWS well-architected framework to conduct a technology baseline review self-assessment and identify critical areas for improvement in the management and operation of your cloud-based workloads. By the end of this book, you’ll have the skills to effectively administer your AWS environment.
Table of Contents (15 chapters)

Managing Amazon Neptune graph databases

Amazon Neptune is a graph database that was created specifically to process data that includes a large number of interconnected records. This may not be a familiar use case to everyone, so first, we need to start with a basic description of a graph database.

Let's say you are building a social networking application, where users can friend each other and comment on each other's posts. You will end up with data structures that quickly exceed what relational databases were designed to handle. You may have users with millions of followers, and you may want to quickly traverse the relationship graph to find followers that have interests that match the content of your popular users' latest updates. A purpose-built graph database will give you the best performance in this kind of scenario.

The objects in your graph (entities such...