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Koszyk
Książki \ Chmura

Cloud Architecture Patterns Język: 2

978-1-4493-1977-9

Cena Brutto: 97.13

Cena netto: 92.50

Ilość:
Wersja: Drukowana
Autor Bill Wilder
Liczba_stron 182
Wydawnictwo O'Reilly Media
Oprawa miękka
Data_Wydania 2012-10-01

Cloud Architecture

Patterns


    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 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 handling failure, 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 that 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.
  • Handling failure. Understand how multitenant cloud services and commodity hardware influence your applications. Patterns covered include Busy Signal and Node Failure.
  • Distributed users. 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.
  1. Chapter 1 Scalability Primer

    1. Scalability Defined

    2. Resource Contention Limits Scalability

    3. Scalability is a Business Concern

    4. The Cloud-Native Application

    5. Summary

  2. Chapter 2 Horizontally Scaling Compute Pattern

    1. Context

    2. Impact

    3. Mechanics

    4. Example: Building PoP on Windows Azure

    5. Summary

  3. Chapter 3 Queue-Centric Workflow Pattern

    1. Context

    2. Impact

    3. Mechanics

    4. Example: Building PoP on Windows Azure

    5. Summary

  4. Chapter 4 Auto-Scaling Pattern

    1. Context

    2. Impact

    3. Mechanics

    4. Example: Building PoP on Windows Azure

    5. Summary

  5. Chapter 5 Eventual Consistency Primer

    1. CAP Theorem and Eventual Consistency

    2. Eventual Consistency Examples

    3. Relational ACID and NoSQL BASE

    4. Impact of Eventual Consistency on Application Logic

    5. Summary

  6. Chapter 6 MapReduce Pattern

    1. Context

    2. Impact

    3. Mechanics

    4. Example: Building PoP on Windows Azure

    5. Summary

  7. Chapter 7 Database Sharding Pattern

    1. Context

    2. Impact

    3. Mechanics

    4. Example: Building PoP on Windows Azure

    5. Summary

  8. Chapter 8 Multitenancy and Commodity Hardware Primer

    1. Multitenancy

    2. Commodity Hardware

    3. Summary

  9. Chapter 9 Busy Signal Pattern

    1. Context

    2. Impact

    3. Mechanics

    4. Example: Building PoP on Windows Azure

    5. Summary

  10. Chapter 10 Node Failure Pattern

    1. Context

    2. Impact

    3. Mechanics

    4. Example: Building PoP on Windows Azure

    5. Summary

  11. Chapter 11 Network Latency Primer

    1. Network Latency Challenges

    2. Reducing Perceived Network Latency

    3. Reducing Network Latency

    4. Summary

  12. Chapter 12 Colocate Pattern

    1. Context

    2. Impact

    3. Mechanics

    4. Example: Building PoP on Windows Azure

    5. Summary

  13. Chapter 13 Valet Key Pattern

    1. Context

    2. Impact

    3. Mechanics

    4. Example: Building PoP on Windows Azure

    5. Summary

  14. Chapter 14 CDN Pattern

    1. Context

    2. Impact

    3. Mechanics

    4. Example: Building PoP on Windows Azure

    5. Summary

  15. Chapter 15 Multisite Deployment Pattern

    1. Context

    2. Impact

    3. Mechanics

    4. Example: Building PoP on Windows Azure

    5. Summary

  1. Appendix Further Reading

    1. Page of Photos (PoP) Sample

    2. Resources From Preface and Chapters

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