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Implementing Cloud Design Patterns for AWS

Implementing Cloud Design Patterns for AWS

By : Rick Farmer, Keery, Harber, Young
3 (3)
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Implementing Cloud Design Patterns for AWS

Implementing Cloud Design Patterns for AWS

3 (3)
By: Rick Farmer, Keery, Harber, 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 (18 chapters)
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1
Section 1: The Basics
6
Section 2: DevOps Patterns
12
Section 3: Persistence Patterns

Summary

As you can see, the options for data storage, access, and analysis are legion. There are solutions to cater for all of your needs. 

How you segment and store your data is highly dependent on its use case. Not every project will need a search index or relational database, but they are easily reachable if you need them. Be mindful that services come at a cost and that misuse of the services is likely to end up in an expensive bill each month. Experimentation to determine the best use of services will pay dividends, not only in budgetary terms, but in terms of speed of data access and the responsiveness of your application.

This chapter covered various aspects of persistence services provided by AWS. The next chapter will discuss various techniques for processing the data in your infrastructure, especially in the field of machine learning.

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