Question 1

How do I handle errors in rpclib?

Accepted Answer

Errors are typically managed through response objects or exceptions; for instance, client.call returns a response that can be checked with .as() or may throw on network failures, but detailed error handling requires manual implementation.

Question 2

rpclib vs gRPC for C++?

Accepted Answer

rpclib is simpler with no IDL and uses msgpack-RPC, ideal for quick setup, while gRPC offers more features like streaming, multiple protocols, and better tooling but with higher complexity and code generation overhead.

Question 3

Can rpclib work with Python?

Accepted Answer

Yes, since it uses msgpack-RPC, any language with a msgpack-RPC library, such as Python via msgpack-rpc-python, can communicate with rpclib servers or clients.

Question 4

How to implement asynchronous calls in rpclib?

Accepted Answer

Use server.async_run() to spawn worker threads for handling calls asynchronously, but for custom async patterns, you may need to manage threads or event loops manually beyond the built-in options.

Question 5

Is rpclib secure for production use?

Accepted Answer

The library doesn't include built-in security features like encryption; developers must implement TLS or other transport-layer security externally, which adds complexity.

Question 6

What is the performance overhead of rpclib?

Accepted Answer

Based on modern C++ and msgpack serialization, it should be efficient, but the README lacks benchmarks, so performance testing against specific workloads is recommended.

rpclib

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