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grpc_bench discussion
grpc_bench reviews and mentions
- Building a real-time chat using WebSockets over HTTP/2 streams
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120ms to 30ms: Python to Rust
I really love the Rust/C# combo. It's like viewing the same problem, with roughly the same set of tools but with "do you want exact control over the details and as little overhead as possible" or "do you want to be productive knowing it won't be less razor sharp (heh) than Rust":
- Iter expressions / LINQ
- High and low effort variants of async/await with Tasks/Futures
- Generics with full monomorphization and traits / Generics with struct monomorphization and constraints
- Deterministic memory management but borrow checker / Non-deterministic GC but getting out of your way
- par_iter / Parallel and PLINQ
Today, when you move past C# or Kotlin, you really aren't improving your productivity by picking any interpreted and dynamically type languages, but lose out on performance massively. Just look at this throughput graph I posted recently in another discussion: https://github.com/LesnyRumcajs/grpc_bench/discussions/441 pay attention where Python, Ruby, Node and Elixir are.
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gRPC: The Bad Parts
Go's GC wasn't really made with high throughput in mind. It's a language that doesn't scale to take advantage of beefy nodes and has weak compiler. I suppose the Google's vision for it is to "crank the replica count up". gRPC servers based on top of ASP.NET Core, Java Vert.X and Rust Thruster will provide you with much higher throughput on multi-core nodes with .NET showing the best P99 latency in that scenario.
https://github.com/LesnyRumcajs/grpc_bench/discussions/441
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Poor gRPC performance on test - help needed
SayHello, GetUser, and Sum differ only by payload size. Sum is the simplest one - (int, int) -> int, GetUser is (long) -> User (medium payload), and SayHello uses exactly the same payload as this test: https://github.com/LesnyRumcajs/grpc_bench/tree/master/dotnet_grpc_bench
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2023-06-25 gRPC benchmark results
This is correct. The problem is not with the benchmark itself but with the implementation. If you look at the result, you can see that even with 6 "allowed" CPUs, the vertx server utilizes less than 100%. Apparently, the current vertx implementation (the one implemented in https://github.com/LesnyRumcajs/grpc_bench/tree/master/java_vertx_grpc_bench) is single-threaded or has some other limitation.
Another iteration of grpc_bench!
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Why does C#/.NET is in demand in Philippines especially in BGC? How about PHP?
Because it's fast and runs on Windows, Linux, and MacOS
- .NET Core performance on Linux
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Another two cents about the current situation with the Scala user base and economics.
In general though, akka/pekko-streams are known to be one of the fastest implementations out there. Their grpc client for example even beats languages like Rust (see https://www.lightbend.com/blog/akka-grpc-update-delivers-1200-percent-performance-improvement and https://github.com/LesnyRumcajs/grpc_bench/wiki/2022-03-15-bench-results).
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A note from our sponsor - CodeRabbit
coderabbit.ai | 13 Feb 2025
Stats
LesnyRumcajs/grpc_bench is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of grpc_bench is Dockerfile.