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Implementing Cloud Design Patterns for AWS

Implementing Cloud Design Patterns for AWS - Second Edition

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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Section 1: The Basics
6
Section 2: DevOps Patterns
12
Section 3: Persistence Patterns

Core Services - Building Blocks for Your Product

In this chapter, we will look at the components available for you to use. Whether you are a traditional software engineer, a DevOps practitioner, or a systems administrator, you need to use practices that allow the creation, and re-creation, of consistent, extensible, and portable products. Amazon's application programming interface (API) driven services simplify mixing these services in order to synthesize new products. We will explore how we can apply patterns from successful projects while improving our capacity to add features with limited exposure. All of our patterns will be based on code. Using this code, we will build a skeleton for web-scale operations. A model containing processing, storage, networking, and security will become the backbone for future product improvements. If you are already familiar with the AWS...

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