Question 1

How does Fusion compare to SignalR for real-time updates?

Accepted Answer

Fusion abstracts away WebSocket management and provides automatic cache invalidation with dependency tracking, whereas SignalR requires manual event handling. Fusion's RPC protocol is faster and reduces network chattiness by caching consistent results locally, as shown in benchmarks where it outperforms SignalR.

Question 2

How to set up Fusion with an existing Blazor WebAssembly app?

Accepted Answer

Add the Stl.Fusion NuGet package, annotate service methods with [ComputeMethod] and make them virtual, register services using AddFusion().AddService<T>(), and use components like ComputedStateComponent for UI updates. The HelloBlazorServer sample provides a step-by-step guide for integration.

Question 3

Does Fusion work with microservices architecture?

Accepted Answer

Yes, Fusion is designed for distributed systems and can span across microservices using its RPC protocol. However, it requires careful setup to ensure dependency tracking and invalidation work across service boundaries, which adds complexity compared to single-service deployments.

Question 4

What are the performance benchmarks for Fusion?

Accepted Answer

Fusion significantly improves performance by caching results in memory, with synthetic benchmarks showing speedups of 8,000 to 12,000 times for API calls. Real-world data from Actual Chat shows response times as low as 0.03ms for cached calls, but this comes with memory overhead from in-memory caching.

Question 5

Can Fusion handle offline mode in mobile applications?

Accepted Answer

Yes, Fusion supports offline mode by caching state locally and synchronizing when online, as demonstrated in the Actual Chat app which runs on WebAssembly, iOS, Android, and Windows. It uses eventual consistency to manage state updates during network disruptions.

Question 6

Is Fusion only for Blazor or can it be used with other UI frameworks?

Accepted Answer

While Fusion has deep integration with Blazor for real-time UI updates, its core libraries can be used with other .NET UI frameworks. However, the seamless component patterns and automatic re-renders are optimized for Blazor, limiting its out-of-the-box benefits for non-Blazor projects.

Question 7

How does Fusion ensure data consistency across multiple clients?

Accepted Answer

Fusion uses eventual consistency through automatic dependency tracking and invalidation. When data changes, computed values are invalidated, and clients are notified via the RPC protocol to update their state, ensuring all observers eventually see the same data without manual synchronization.

Stl.Fusion

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