Question 1

How to set up Echo Process with Redis for clustering?

Accepted Answer

Install the Echo.Process.Redis NuGet package and call RedisCluster.register() with parameters like system name, role, node name, and Redis connection string as shown in the 'Getting started' section. This enables distributed messaging and state persistence.

Question 2

What's the difference between tell and ask in Echo?

Accepted Answer

'tell' is for fire-and-forget messaging and is the preferred method, while 'ask' is for request/response but should be used sparingly due to potential overhead. The README warns against overusing 'ask' to maintain system performance.

Question 3

Echo vs Akka.NET for C# actor systems?

Accepted Answer

Echo is better for teams deeply invested in Language-Ext and functional programming, offering tight integration with functional patterns. Akka.NET has a larger ecosystem and more traditional actor model, but doesn't emphasize functional C# as strongly.

Question 4

How to use Echo with JavaScript in the browser?

Accepted Answer

Include the Echo.ProcessJS NuGet package, which provides a JavaScript API to run processes client-side and bind to UI elements. This allows two-way communication with server-side actors via the WebSockets gateway for real-time updates.

Question 5

Can Echo processes be persisted across server restarts?

Accepted Answer

Yes, but only with the Echo.Process.Redis module, which uses Redis for state persistence. For in-app messaging without Redis, process state is lost on restart, limiting durability in standalone setups.

Question 6

How to handle errors and failures in Echo actors?

Accepted Answer

Leverage Language-Ext's functional error-handling types like Option or Either within message handlers. The actor model inherently isolates failures, and processes can implement supervision strategies, though detailed error recovery isn't extensively covered in the README.

Question 7

What are the performance implications of using Echo actors?

Accepted Answer

Echo is designed for massive concurrency with efficient message passing, but performance depends on factors like message volume and Redis latency for clustering. The 'ask' mechanism has overhead, so the README recommends favoring 'tell' for better scalability.

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