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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

Availability Patterns - Understanding Your Needs

By creating a shared vocabulary, we will establish which patterns can be applied to deliver the necessary availability levels. We will design a stack that can meet your product's service level objectives. Our architecture will be designed to scale and handle failure while minimizing cost and operating close to your customers. 

The following topics will be covered in this chapter in brief:

  • High availability
  • Load balancing
  • Fault tolerance
  • Auto scaling
  • Hierarchical storage management
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