Choosing the Right JSON Serializer for SyncFramework
Choosing the right JSON serializer for SyncFramework is crucial for performance and data integrity. This article compares DataContractJsonSerializer, Newtonsoft.Json, and System.Text.Json, highlighting their features, use cases, and handling of DataContract requirements to help you make an informed decision for efficient synchronization in .NET applications.

Why I Use Strings as the Return Type in the SyncFramework Server API
Choosing strings as the return type in my SynFramework server API enhances performance, flexibility, and control over data serialization. This approach optimizes data transmission, ensures compatibility with various clients, and simplifies managing data formats, offering a robust solution for C# and Web API developers.

To be, or not to be: Writing Reusable Tests for SyncFramework Interfaces in C#
Ensuring robust database synchronization, SyncFramework’s interfaces like IDeltaStore require thorough testing. By creating reusable base test classes and implementing concrete test classes, you ensure consistent behavior across all implementations. Automate these tests in your CI/CD pipeline for reliable, maintainable, and interchangeable components within your framework.

Breaking Solid: Challenges of Adding New Functionality to the Sync Framework
Introducing new functionality to a sync framework often challenges adherence to SOLID design principles. Each principle, from Single Responsibility to Dependency Inversion, presents specific dilemmas. For instance, adding new features can violate the Open/Closed Principle by necessitating modifications to existing code. Developers must strategically decide when to introduce breaking changes, considering factors like impact assessment, semantic versioning, and stakeholder engagement. Balancing innovation with design integrity requires thoughtful planning and robust testing practices. Ultimately, evolving the framework to meet user needs may sometimes mean bending established principles for greater functionality and efficiency.

Extending Interfaces in the Sync Framework: Best Practices and Trade-offs
In modern software development, extending interfaces like IDeltaStore and IDeltaProcessor in the Sync Framework to add events such as SavingDelta, SavedDelta, ProcessingDelta, and ProcessedDelta can enhance functionality but poses challenges. Extending existing interfaces is simpler but can break existing implementations and violate SOLID principles. Alternatively, adding new interfaces preserves backward compatibility and adheres to best practices, though it may introduce complexity and redundancy. Balancing these trade-offs is crucial. For maintaining backward compatibility and adhering to SOLID principles, adding new interfaces is preferred. However, extending interfaces might be viable in controlled environments with manageable updates.