Question 1

How to set up Obvs with RabbitMQ in .NET Core?

Accepted Answer

Install the Obvs.RabbitMQ NuGet package, then use the fluent configuration to define endpoints with the broker connection string. The README's ActiveMQ example adapts easily—just replace the transport method and specify serialization like JSON.

Question 2

Obvs vs MassTransit: which is better for microservices?

Accepted Answer

Obvs is a lightweight, library-based approach ideal for transport flexibility and Rx integration, while MassTransit is a full framework with built-in features like sagas and retries. Choose Obvs for minimal overhead and custom control; opt for MassTransit if you need out-of-the-box tooling.

Question 3

Can I use Obvs without the IMessage interfaces?

Accepted Answer

Yes, Obvs provides a generic ServiceBus that allows custom message types without implementing IMessage, but you'll lose convention-based benefits like auto-discovery and multiplexing, requiring more manual configuration.

Question 4

How to handle errors in Obvs messaging?

Accepted Answer

Obvs catches exceptions and raises them on an asynchronous error channel, as noted in the README. Subscribe to this channel to log or handle failures, ensuring errors don't disrupt the entire reactive stream.

Question 5

Does Obvs support .NET 5 or .NET 6?

Accepted Answer

Yes, Obvs V6 supports net5.0 and netstandard2.0, per the version roadmap. It's compatible with modern .NET versions, including .NET Core and .NET 5/6, for cross-platform development.

Question 6

Setting up custom endpoints for external APIs in Obvs?

Accepted Answer

Implement IServiceEndpointClient to wrap API calls, define methods for sending commands and handling events as observables, then add the endpoint to the ServiceBus configuration—the README example illustrates this with a custom class.

Question 7

Performance overhead of Obvs compared to raw transport clients?

Accepted Answer

Obvs adds abstraction layers with Rx and multiplexing, which may introduce slight latency, but it optimizes with efficient serialization and reduces code complexity. For most distributed systems, the trade-off in flexibility outweighs minimal performance impacts.

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