Book Image

Implementing Cloud Design Patterns for AWS - Second Edition

By : Sean Keery, Clive Harber, Marcus Young
Book Image

Implementing Cloud Design Patterns for AWS - Second Edition

By: Sean Keery, Clive Harber, Marcus Young

Overview of this book

Whether you're just getting your feet wet in cloud infrastructure or already creating complex systems, this book will guide you through using the patterns to fit your system needs. Starting with patterns that cover basic processes such as source control and infrastructure-as-code, the book goes on to introduce cloud security practices. You'll then cover patterns of availability and scalability and get acquainted with the ephemeral nature of cloud environments. You'll also explore advanced DevOps patterns in operations and maintenance, before focusing on virtualization patterns such as containerization and serverless computing. In the final leg of your journey, this book will delve into data persistence and visualization patterns. You'll get to grips with architectures for processing static and dynamic data, as well as practices for managing streaming data. By the end of this book, you will be able to design applications that are tolerant of underlying hardware failures, resilient against an unexpected influx of data, and easy to manage and replicate.
Table of Contents (20 chapters)
Title Page
Dedication
About Packt
Contributors
Preface
Free Chapter
1
Introduction to Amazon Web Services
Index

Polyglot persistence


Sometimes, it might not be appropriate, or you might not want, to manage your data purely in a relational database: there might be advantages to having some of it denormalized into documents or added to a search index. Your data might just be a simple mapping between an identifier and a value (key-value), or something else entirely. This mash-up of different storage types dependent on usage or data types is called polyglot persistence.

AWS provides many different data storage types. Most are managed services and have the capabilities and guarantees associated with them being managed services.

In particular, you'll look at the following:

  • ElasticSearch
  • CloudTrail
  • Elemental MediaStore
  • EMR
  • Neptune
  • Timestream

Text

Many storage engines store, index, and analyze textual, binary, and log data. This section covers some of the catalog provided by AWS to handle various data sources and how to create them.

ElasticSearch

ElasticSearch is a search engine. It is based on Apache Lucene, a popular...