How to Scale .NET Apps with Distributed Caching

How to Scale .NET Apps with Distributed Caching

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Introduction

1 of 39

1 of 39

Introduction

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Classroom Contents

How to Scale .NET Apps with Distributed Caching

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  1. 1 Introduction
  2. 2 Scalability
  3. 3 Linear Scalability
  4. 4 Nonlinear Scalability
  5. 5 Which Applications Need Scalability
  6. 6 The Scalability Problem
  7. 7 Distributed Caching
  8. 8 Worst Case Scenario
  9. 9 Use Cases
  10. 10 Runtime Data Sharing
  11. 11 Frameworks
  12. 12 ASPnet Provider
  13. 13 Sanity Testing
  14. 14 No Programming Needed
  15. 15 Application Data Cache
  16. 16 NCache
  17. 17 Application Data caching
  18. 18 Explorations
  19. 19 Sliding Expressions
  20. 20 Cache Dependency
  21. 21 Database Client
  22. 22 Keeping the Caching Fresh
  23. 23 Read Through
  24. 24 Read Through Example
  25. 25 Caching Tier
  26. 26 Readthrough
  27. 27 Readthrough Benefits
  28. 28 RightThrough Benefits
  29. 29 RightBehind Benefits
  30. 30 NCash
  31. 31 Partition Replication
  32. 32 Secular Scalability
  33. 33 Keep Cache Fresh
  34. 34 Cache is a Database
  35. 35 Querying
  36. 36 Linked Query
  37. 37 Grouping
  38. 38 Indexing
  39. 39 Client Cache

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