دوره معماری نرم‌افزار: Event Collaboration with choreography versus orchestration. همراه با فلش‌کارت آموزشی — ارائه روی فلش مموری

🎓 دوره آموزشی جامع

📚 اطلاعات دوره

عنوان دوره: دوره معماری نرم‌افزار: Event Collaboration with choreography versus orchestration.

موضوع کلی: برنامه نویسی

موضوع میانی: معماری نرم‌افزار

📋 سرفصل‌های دوره

• 1. What is Software Architecture?
• 2. Importance of Architectural Decisions
• 3. Architectural Styles Overview
• 4. Monolithic Architecture: Characteristics and Limitations
• 5. Introduction to Distributed Systems
• 6. Core Challenges of Distributed Systems
• 7. Scalability, Reliability, and Resilience in Distributed Systems
• 8. Asynchronous Communication Fundamentals
• 9. The Motivation for Event Collaboration
• 10. Course Introduction and Learning Objectives
• 11. Microservices Architecture Principles
• 12. Domain-Driven Design (DDD) Overview
• 13. Bounded Contexts in Microservices
• 14. Service Decomposition Strategies
• 15. Introduction to Event-Driven Architecture (EDA)
• 16. Key Concepts of EDA: Events, Producers, Consumers
• 17. What Defines an Event? Structure and Content
• 18. Domain Events vs. Integration Events
• 19. The Publish-Subscribe Messaging Pattern
• 20. Role of Message Brokers in EDA
• 21. Message Queues and Topics
• 22. Key Characteristics of Message Broker Technologies
• 23. Choosing a Message Broker (e.g., Kafka, RabbitMQ, AWS SQS/SNS)
• 24. Event Schemas and Versioning
• 25. Event Stream Processing Basics
• 26. Data Consistency Challenges in Distributed Systems
• 27. Asynchronous vs. Synchronous Communication Revisited
• 28. Benefits of Adopting EDA
• 29. Common Pitfalls and Drawbacks of EDA
• 30. Event Storming for Architectural Discovery
• 31. Differentiating Events, Commands, and Queries
• 32. Understanding Commands and Command Handling
• 33. Understanding Queries and Query Handling
• 34. Introduction to Event Sourcing
• 35. Event Store: The Immutable Log of Changes
• 36. Rehydrating State from Event Streams
• 37. Snapshots and Performance in Event Sourcing
• 38. Benefits of Event Sourcing
• 39. Challenges and Complexities of Event Sourcing
• 40. Introduction to Command Query Responsibility Segregation (CQRS)
• 41. Separation of Read and Write Models in CQRS
• 42. Updating Read Models from Events
• 43. Advantages of CQRS
• 44. When to Apply CQRS (and When Not To)
• 45. Combining Event Sourcing with CQRS
• 46. Introduction to the Choreography Pattern
• 47. Principles of Decentralized Event Collaboration
• 48. How Choreography Facilitates Service Interaction
• 49. Event-Driven Chains and Reactions
• 50. Loose Coupling and Service Independence
• 51. Advantages of Choreography
• 52. Disadvantages and Potential Issues with Choreography
• 53. Implicit Workflows and Their Challenges
• 54. Monitoring Choreographed Event Flows
• 55. Debugging and Troubleshooting Choreographed Systems
• 56. Implementing Choreography with Message Brokers
• 57. Event Payload Design for Choreography
• 58. Correlation IDs for Distributed Tracing in Choreography
• 59. Example: A Choreographed Order Fulfillment Process
• 60. Design Best Practices for Choreography
• 61. Introduction to the Orchestration Pattern
• 62. Principles of Centralized Workflow Management
• 63. How Orchestration Directs Service Interactions
• 64. The Role of the Orchestrator Service
• 65. Advantages of Orchestration
• 66. Disadvantages and Coupling Risks of Orchestration
• 67. Designing the Orchestrator's Logic and State Machine
• 68. State Management within the Orchestrator
• 69. Implementing Orchestration with Workflow Engines (e.g., Camunda, AWS Step Functions)
• 70. Robust Error Handling in Orchestrated Workflows
• 71. Compensating Transactions in Orchestration
• 72. Example: An Orchestrated Order Fulfillment Process
• 73. Choosing an Appropriate Orchestrator Technology
• 74. Testing Orchestrator Logic
• 75. Design Best Practices for Orchestration
• 76. Choreography vs. Orchestration: A Direct Comparison
• 77. Key Trade-offs: Visibility, Coupling, Flexibility
• 78. Decision Framework: When to Choose Choreography
• 79. Decision Framework: When to Choose Orchestration
• 80. Hybrid Collaboration Approaches
• 81. Introduction to Distributed Sagas
• 82. Implementing Sagas with Choreography (Event-Driven Sagas)
• 83. Implementing Sagas with Orchestration (Orchestrated Sagas)
• 84. Ensuring Idempotency in Event Consumers
• 85. Retries, Backoffs, and Circuit Breakers in EDA
• 86. Dead-Letter Queues (DLQ) for Failed Messages
• 87. Understanding and Managing Eventual Consistency
• 88. The Outbox Pattern for Reliable Event Publishing
• 89. Change Data Capture (CDC) and Transaction Log Tailing
• 90. API Gateways and Event-Driven Frontends
• 91. Observability for Event-Driven Systems
• 92. Distributed Tracing of Event Flows
• 93. Centralized Logging Strategies
• 94. Health Checks and Monitoring Event Processors
• 95. Alerting for Critical Event Failures and Bottlenecks
• 96. Testing Strategies for Event-Driven Architectures
• 97. Unit, Integration, and Contract Testing for Services
• 98. End-to-End Testing of Event Collaboration Flows
• 99. Security Considerations in Event-Driven Systems
• 100. Future Trends in Event-Driven Architecture