In this section, you will become familiar with the building blocks available from AWS. You will also learn how to create a cheap, scalable, and secure solution for your business.
The following chapters are included in this section:
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Book Overview & Buying
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Table Of Contents
Implementing Cloud Design Patterns for AWS - Second Edition
By :
Implementing Cloud Design Patterns for AWS
By:
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)
Preface
Introduction to Amazon Web Services
Core Services - Building Blocks for Your Product
Availability Patterns - Understanding Your Needs
Security - Ensuring the Integrity of Your Systems
Section 2: DevOps Patterns
Continuous Deployment - Introducing New Features with Minimal Risk
Ephemeral Environments - Sandboxes for Experiments
Operation and Maintenance - Keeping Things Running at Peak Performance
Application Virtualization - Using Cloud Native Patterns for Your Workloads
Antipatterns - Avoiding Counterproductive Solutions
Section 3: Persistence Patterns
Databases - Identifying Which Type Fits Your Needs
Data Processing - Handling Your Data Transformation
Observability - Understanding How Your Products Are Behaving
Anti-Patterns - Bypassing Inferior Options
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