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)

Create a DynamoDB table with a global secondary index

Amazon DynamoDB is a managed key-value store that was one of the first NoSQL databases to be made available in the cloud. A NoSQL database is an alternative to the traditional relational databases that have been used for a variety of purposes in the industry for decades. DynamoDB does not offer many of the standard features of an RDBMS, such as table joins and ACID semantics. ACID stands for Atomic, Consistent, Isolated, and Durable. Consistency is one of the key trade-offs normally made with a NoSQL database since these systems are designed to run in a distributed fashion across a multitude of commodity machines. That being said, it is possible to make consistent reads with DynamoDB, and now you can even initiate transactions across operations, so the lines are being blurred somewhat.

There are still big differences with how...