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Pluralsight - Cloud Design Patterns for Azure Availability and Resilience

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种子名称: Pluralsight - Cloud Design Patterns for Azure Availability and Resilience
文件类型: 视频
文件数目: 48个文件
文件大小: 245.56 MB
收录时间: 2017-5-14 04:20
已经下载: 3
资源热度: 183
最近下载: 2024-11-7 23:39

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Pluralsight - Cloud Design Patterns for Azure Availability and Resilience.torrent
  • 1. Course Overview/01. Course Overview.mp43.51MB
  • 2. About the Availability and Resilience Patterns/04. About the Cloud Design Patterns for Azure.mp45.95MB
  • 2. About the Availability and Resilience Patterns/03. Why Design Patterns Matter.mp43.29MB
  • 2. About the Availability and Resilience Patterns/02. Introduction.mp41.68MB
  • 2. About the Availability and Resilience Patterns/05. Summary.mp41.01MB
  • 3. Circuit Breaker Pattern/11. Demo - Circuit Breaker in a Console App.mp431.93MB
  • 3. Circuit Breaker Pattern/08. The Solution to the Problem.mp45.58MB
  • 3. Circuit Breaker Pattern/07. The Problem to Be Solved.mp45.49MB
  • 3. Circuit Breaker Pattern/09. Things to Consider.mp45.27MB
  • 3. Circuit Breaker Pattern/12. Summary.mp41.49MB
  • 3. Circuit Breaker Pattern/06. Introduction.mp41.12MB
  • 3. Circuit Breaker Pattern/10. The Usage of the Pattern.mp4829.73KB
  • 4. Compensating Transaction Pattern/18. Demo - Compensating Transaction in an Azure Logic App.mp413.02MB
  • 4. Compensating Transaction Pattern/14. The Problem to Be Solved.mp46.51MB
  • 4. Compensating Transaction Pattern/16. Things to Consider.mp44.41MB
  • 4. Compensating Transaction Pattern/15. The Solution to the Problem.mp43.4MB
  • 4. Compensating Transaction Pattern/19. Summary.mp41.82MB
  • 4. Compensating Transaction Pattern/17. The Usage of the Pattern.mp41.77MB
  • 4. Compensating Transaction Pattern/13. Introduction.mp41.04MB
  • 5. Health Endpoint Monitoring Pattern/25. An Example of the Solution.mp47.5MB
  • 5. Health Endpoint Monitoring Pattern/22. The Solution to the Problem.mp46.61MB
  • 5. Health Endpoint Monitoring Pattern/23. Things to Consider.mp46.52MB
  • 5. Health Endpoint Monitoring Pattern/21. The Problem to Be Solved.mp43.5MB
  • 5. Health Endpoint Monitoring Pattern/26. Summary.mp41.78MB
  • 5. Health Endpoint Monitoring Pattern/24. The Usage of the Pattern.mp41.15MB
  • 5. Health Endpoint Monitoring Pattern/20. Introduction.mp4878.33KB
  • 6. Queue-based Load Leveling Pattern/32. Demo - Azure Storage Queue.mp425.09MB
  • 6. Queue-based Load Leveling Pattern/33. Demo - Azure Storage Queue and WebJob.mp414.01MB
  • 6. Queue-based Load Leveling Pattern/30. Things to Consider.mp44.67MB
  • 6. Queue-based Load Leveling Pattern/28. The Problem to Be Solved.mp43.73MB
  • 6. Queue-based Load Leveling Pattern/29. The Solution to the Problem.mp42.57MB
  • 6. Queue-based Load Leveling Pattern/34. Summary.mp41.59MB
  • 6. Queue-based Load Leveling Pattern/27. Introduction.mp41.23MB
  • 6. Queue-based Load Leveling Pattern/31. The Usage of the Pattern.mp41.19MB
  • 7. Retry Pattern/40. Demo - Azure Storage Library Retry Policy.mp423.91MB
  • 7. Retry Pattern/38. Things to Consider.mp43.25MB
  • 7. Retry Pattern/41. Summary.mp42.15MB
  • 7. Retry Pattern/36. The Problem to Be Solved.mp41.91MB
  • 7. Retry Pattern/37. The Solution to the Problem.mp41.47MB
  • 7. Retry Pattern/35. Introduction.mp4867.12KB
  • 7. Retry Pattern/39. The Usage of the Pattern.mp4622.55KB
  • 8. Throttling Pattern/47. Demo - Throttling with Azure API Management.mp414.79MB
  • 8. Throttling Pattern/44. The Solution to the Problem.mp44.3MB
  • 8. Throttling Pattern/43. The Problem to Be Solved.mp43.88MB
  • 8. Throttling Pattern/45. Things to Consider.mp42.99MB
  • 8. Throttling Pattern/48. Summary.mp42.04MB
  • 8. Throttling Pattern/46. The Usage of the Pattern.mp41.56MB
  • 8. Throttling Pattern/42. Introduction.mp4775.99KB