Cloud Architecture Patterns
豆瓣
Learn to Use the Cloud to Your Advantage
Bill Wilder
简介
If your team is investigating ways to design applications for the cloud, this concise book introduces 11 architecture patterns that can help you take advantage of several cloud-platform services. You’ll learn how each of these platform-agnostic patterns work, when they might be useful in the cloud, and what impact they’ll have on your application architecture. You’ll also see an example of each pattern applied to an application built with Windows Azure.
The patterns are organized into four major topics, such as scalability and eventual consistency, and primer chapters provide background on each topic. With the information in this book, you’ll be able to make informed decisions for designing effective cloud-native applications, where cloud-native applications maximize the value of cloud services while also paying attention to user experience and operational efficiency.
Learn about architectural patterns for:
* Scalability. Discover the advantages of horizontal scaling. Patterns covered include Horizontally Scaling Compute, Queue-Centric Workflow, and Auto-Scaling.
Big data. Learn how to handle large amounts of data across a distributed system. Eventual consistency is explained, along with the MapReduce and Database Sharding patterns.
* Multitenancy and commodity hardware. Understand how they influence your applications. Patterns covered include Busy Signal and Node Failure.
* Network latency. Learn how to overcome delays due to network latency when building applications for a geographically distributed user base. Patterns covered include Colocation, Valet Key, CDN, and Multi-Site Deployment.
contents
Chapter 1 Scalability Primer
Scalability Defined
Resource Contention Limits Scalability
Scalability is a Business Concern
The Cloud-Native Application
Summary
Chapter 2 Horizontally Scaling Compute Pattern
Context
Impact
Mechanics
Example: Building PoP on Windows Azure
Summary
Chapter 3 Queue-Centric Workflow Pattern
Context
Impact
Mechanics
Example: Building PoP on Windows Azure
Summary
Chapter 4 Auto-Scaling Pattern
Context
Impact
Mechanics
Example: Building PoP on Windows Azure
Summary
Chapter 5 Eventual Consistency Primer
CAP Theorem and Eventual Consistency
Eventual Consistency Examples
Relational ACID and NoSQL BASE
Impact of Eventual Consistency on Application Logic
Summary
Chapter 6 MapReduce Pattern
Context
Impact
Mechanics
Example: Building PoP on Windows Azure
Summary
Chapter 7 Database Sharding Pattern
Context
Impact
Mechanics
Example: Building PoP on Windows Azure
Summary
Chapter 8 Multitenancy and Commodity Hardware Primer
Multitenancy
Commodity Hardware
Summary
Chapter 9 Busy Signal Pattern
Context
Impact
Mechanics
Example: Building PoP on Windows Azure
Summary
Chapter 10 Node Failure Pattern
Context
Impact
Mechanics
Example: Building PoP on Windows Azure
Summary
Chapter 11 Network Latency Primer
Network Latency Challenges
Reducing Perceived Network Latency
Reducing Network Latency
Summary
Chapter 12 Colocate Pattern
Context
Impact
Mechanics
Example: Building PoP on Windows Azure
Summary
Chapter 13 Valet Key Pattern
Context
Impact
Mechanics
Example: Building PoP on Windows Azure
Summary
Chapter 14 CDN Pattern
Context
Impact
Mechanics
Example: Building PoP on Windows Azure
Summary
Chapter 15 Multisite Deployment Pattern
Context
Impact
Mechanics
Example: Building PoP on Windows Azure
Summary
Appendix Further Reading
Page of Photos (PoP) Sample
Resources From Preface and Chapters