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mapa działów
Szukaj: szukanie zaawansowane
Koszyk
Książki \ Chmura

Developing Cloud Applications with Windows Azure Storage Język: 2

978-0-7356-6798-3

Cena Brutto: 116.55

Cena netto: 111.00

Ilość:
Wersja: Drukowana
Autor Paul Mehner
Liczba_stron 232
Wydawnictwo Microsoft Press
Oprawa miękka
Data_Wydania 2013-03-31

Get the focused, pragmatic guidance you need to build professional cloud applications using Windows Azure Storage. This is one of the few books centered around Storage capabilities, and the author provides essential, expert coverage of the four key services—BLOB, tables, queues, and drives. Developers will gain hands-on insights, including detailed sections on business use cases and guidance for choosing the right storage option for the job.

  • Provides architectural and programming guidance to professional developers and architects proficient with Microsoft Visual Studio, C#, and LINQ
  • Illuminates when and how to use BLOB storage, table storage, queues, and Windows Azure Drive to build, host, and scale applications in Microsoft-managed datacenters
  • Presents business-case context for choosing the right service for your scenario, e.g. readers will compare relational tables to Windows Azure tables to understand benefits and tradeoffs
  1. Architecture and use

    1. Chapter 1 Understanding data storage

      1. Database types
      2. Data storage types
      3. Conclusion
    2. Chapter 2 Windows Azure data storage overview

      1. Feature-rich data storage for almost any application
      2. Data storage abstractions
      3. Windows Azure data centers
      4. Storage topology
      5. Failure management and durability
      6. Fault and upgrade domains
      7. Replication, geo-replication, and reliability
      8. Dynamic scalability
      9. RESTful APIs
      10. Software development kits
      11. Pricing
      12. Analytics and metrics
      13. Conclusion
    3. Chapter 3 Windows Azure data storage accounts

      1. Set up your Windows Azure subscription
      2. IDs, subscriptions, and storage accounts
      3. Subscription certificates for authentication
      4. Primary and secondary access keys
      5. Service management API
      6. Affinity groups
      7. Storage emulator
      8. Multi-tenancy
      9. Conclusion
    4. Chapter 4 Accessing Windows Azure data storage

      1. Authentication
      2. The Windows Azure SDK for the .NET Framework
      3. Segmented reads
      4. Cloud reliability concerns
      5. Conclusion
  2. Blobs, tables, and queues

    1. Chapter 5 Blobs

      1. Blob basics
      2. Blob containers
      3. Blob addressing
      4. Business use cases
      5. Blob storage structure
      6. Navigating blob container hierarchies
      7. Storage Client library blob types
      8. Container and blob naming rules
      9. Performing create, read, update, and delete blob operations
      10. Shared Access Signatures and shared access policies
      11. Blob attributes and metadata
      12. Conditional operations
      13. Blob leases
      14. Using block blobs
      15. Using page blobs
      16. Blob snapshots
      17. Continuation tokens and blobs
      18. Conclusion
    2. Chapter 6 Tables

      1. Table basics
      2. Table storage structure
      3. Table addressing
      4. Entity properties
      5. Entity partitions
      6. Table and property naming rules
      7. Visualizing table entities
      8. Creating tables
      9. The Table service and the Open Data Protocol
      10. Serializing and deserializing entities with CloudTable
      11. Data operation options
      12. Table queries
      13. Table entity ordering
      14. Storing multiple entity types in a single table
      15. Selecting good partition keys
      16. Segmented queries and continuation tokens
      17. Cross-table consistency
      18. Table operation concurrency
      19. Conclusion
    3. Chapter 7 Queues

      1. Queue storage overview
      2. Business use cases
      3. Queue addressing
      4. Deleting a message queue
      5. Conclusion
  3. Analytics

    1. Chapter 8 Analytics, logging, and transaction metrics

      1. Request logging
      2. Metrics
      3. Enabling the analytics services via the REST interface
      4. Conclusion
  1. Appendix About the author

powrót
 
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