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  • Book Overview & Buying Implementing Cloud Design Patterns for AWS
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Implementing Cloud Design Patterns for AWS

Implementing Cloud Design Patterns for AWS

By : Young
3 (3)
Buy this Book
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Implementing Cloud Design Patterns for AWS

Implementing Cloud Design Patterns for AWS

3 (3)
By: Young
Buy this Book

Overview of this book

This book is aimed at architects, solution providers, and those of the DevOps community who are looking to implement repeatable patterns for deploying and maintaining services in the Amazon cloud infrastructure. Prior experience using AWS is required as the book focuses more on the patterns and not on the basics of using AWS.
Table of Contents (18 chapters)
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Preface
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Preface
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Who this book is for
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What this book covers
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To get the most out of this book
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Get in touch
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1
Section 1: The Basics
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Section 1: The Basics
2
Introduction to Amazon Web Services
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Introduction to Amazon Web Services
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Introduction to AWS
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Summary
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Further reading
3
Core Services - Building Blocks for Your Product
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Core Services - Building Blocks for Your Product
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Technical requirements
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Code
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Compute
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Networking
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Storage
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IAM
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Summary
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Further reading
4
Availability Patterns - Understanding Your Needs
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Availability Patterns - Understanding Your Needs
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Technical requirements
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High availability
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Load balancing
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Fault tolerance
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Auto scaling
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Hierarchical storage management
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Summary
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Exercises
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Further reading
5
Security - Ensuring the Integrity of Your Systems
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Security - Ensuring the Integrity of Your Systems
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Technical requirements
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Shared responsibilities
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Credentials
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RBAC
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More IAM
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Cognito
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Logging
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Vulnerability scanning
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Summary
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Further reading
6
Section 2: DevOps Patterns
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Section 2: DevOps Patterns
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Continuous Deployment - Introducing New Features with Minimal Risk
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Continuous Deployment - Introducing New Features with Minimal Risk
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Technical requirements
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Source control
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CodeBuild
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Testing your code
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Summary
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Further reading
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Ephemeral Environments - Sandboxes for Experiments
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Ephemeral Environments - Sandboxes for Experiments
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Developer productivity
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Exploring deployment strategies
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Facilitating self-service
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Using multiple environments
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Testing your environment
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Managing cost
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Summary
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Exercises
9
Operation and Maintenance - Keeping Things Running at Peak Performance
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Operation and Maintenance - Keeping Things Running at Peak Performance
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Technical requirements
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Desilofication
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Measurement
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Fault injection
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Business continuity
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Reduction
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Summary
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Further reading
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Application Virtualization - Using Cloud Native Patterns for Your Workloads
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Application Virtualization - Using Cloud Native Patterns for Your Workloads
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Technical requirements
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Containers
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Serverless
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Service discovery
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Summary
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Further reading
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Antipatterns - Avoiding Counterproductive Solutions
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Antipatterns - Avoiding Counterproductive Solutions
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Exploring counterproductive processes
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Practices to avoid in general
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Anti-patterns that you might come across
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Summary
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Further reading
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Section 3: Persistence Patterns
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Section 3: Persistence Patterns
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Databases - Identifying Which Type Fits Your Needs
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Databases - Identifying Which Type Fits Your Needs
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General considerations
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Polyglot persistence
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Summary
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Further reading
14
Data Processing - Handling Your Data Transformation
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Data Processing - Handling Your Data Transformation
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Queuing
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Batching
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Caching
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Event stream processing
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Transforms
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Machine learning
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Summary
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Exercises
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Further reading
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Observability - Understanding How Your Products Are Behaving
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Observability - Understanding How Your Products Are Behaving
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Technical requirements
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Analyzing your products
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Events
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Summary
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Exercises
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Further reading
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Anti-Patterns - Bypassing Inferior Options
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Anti-Patterns - Bypassing Inferior Options
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Building processes
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Best practices
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Different patterns
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Summary
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Further reading
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Other Books You May Enjoy
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Other Books You May Enjoy
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Stack deployment pattern

It is quite common to bring up multiple instances at once, either for testing how a system behaves as a whole or even just to reduce errors in the creation process. A new movement in the DevOps community is to treat the infrastructure itself as code. This allows the operations team to view differences between environments, see the current state, and even see what changes will affect what pieces of the environment.

AWS provides this ability through their CloudFormation service. CloudFormation allows an authorized user to deploy almost any AWS object and service, either at once or through tiered set ups using JSON templates. These templates can have input parameters, making them very generic, as well as defining dynamic resources, and producing outputs. These outputs can then be used either to give information to the user or as inputs to another CloudFormation template.

Note

More information about CloudFormation can be found on their documentation page at https://aws...

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