s2n VS grpc-go

It seems to support multiple options but requires you pick at least one of them. https://github.com/aws/s2n-tls/blob/main/docs/BUILD.md#build...

I think GnuTLS is probably the second most popular TLS library, after openssl.

I'll also mentions s2n and rustls-ffi for completeness as C libraries, though the former isn't widely used, and the latter is very experimental still. https://github.com/aws/s2n-tls and https://github.com/rustls/rustls-ffi respectively.

I've seen operating on unauthenticated plaintext enough times to list it as my own pet peeve with AES-GCM. But it's a problem for chunked messages too. A few years ago we released a SCRAM mode that makes very minimal changes to AES-GCM so that it mathematically can't operate on unauthenticated plaintext. https://github.com/aws/s2n-tls/tree/main/scram

> The documentation is kind of vague, but apparently you have to re-enable it regularly.[3]

This is correct. And in the end it means more or less that setting the socket option is more of a way of sending an explicit ACK from userspace than a real setting.

It's not great for common use-cases, because making userspace care about ACKs will obviously degrade efficiency (more syscalls).

However it can make sense for some use-cases. E.g. I saw the s2n TLS library using QUICKACK to avoid the TLS handshake being stuck [1]. Maybe also worthwhile to be set in some specific RPC scenarios where the server might not immediately send a response on receiving the request, and where the client could send additional frames (e.g. gRPC client side streaming, or in pipelined HTTP requests if the server would really process those in parallel and not just let them sit in socket buffers).

[1] https://github.com/aws/s2n-tls/blob/46c47a71e637cabc312ce843...

It looks like by default s2n-quic uses this TLS implementation, which is not based on the ring crate (though it is written in C)

https://github.com/aws/s2n-tls

I would be interested in the other SSL implementations:

- https://github.com/awslabs/s2n

- https://boringssl.googlesource.com/boringssl

- https://bearssl.org/

Are these subpar implementations or there are other reasons not to use these?

grpc-go: go get -u google.golang.org/grpc

The reflection service is open-sourced (at least for some sdks):

* https://github.com/grpc/grpc-go/blob/master/Documentation/se...

* https://chromium.googlesource.com/external/github.com/grpc/g...

We’re hoping to make this rate at least optional via this pull request but as the time of writing this blog, it’s nothing we can do to circle our way around it.

First, I started with gRPC’s recommended starter repository for learning gRPC, their **helloworld **example, which is a part of the official gRPC repository.

IDE: use whatever make you productive. I personally use vscode. VCS: git, as golang communities use github heavily as base for many libraries. AFAIK Linter: use staticcheck for linting as it looks like mostly used linting tool in go, supported by many also. In Vscode it will be recommended once you install go plugin. Libraries/Framework: actually the standard libraries already included many things you need, decent enough for your day-to-day development cycles(e.g. `net/http`). But here are things for extra: - Struct fields validator: validator - Http server lib: chi router , httprouter , fasthttp (for non standard http implementations, but fast) - Web Framework: echo , gin , fiber , beego , etc - Http client lib: most already covered by stdlib(net/http), so you rarely need extra lib for this, but if you really need some are: resty - CLI: cobra - Config: godotenv , viper - DB Drivers: sqlx , postgre , sqlite , mysql - nosql: redis , mongodb , elasticsearch - ORM: gorm , entgo , sqlc(codegen) - JS Transpiler: gopherjs - GUI: fyne - grpc: grpc - logging: zerolog - test: testify , gomock , dockertest - and many others you can find here

If you read the first comment, you’ll see the API was documented as being experimental.

https://github.com/grpc/grpc-go/issues/3798#issuecomment-670...

The lack of this analysis still results in bugs and CVEs. See how many races are found and fixed in gRPC releases: https://github.com/grpc/grpc-go/releases (search "race"). It's a shame Google does not publish these as CVEs, because many of them qualify.

I like to point people at this release to show that not even Google -- in its own language on its own library for its own RPC protocol -- can write thread-safe Go, so what chance does anyone else have. Maybe we have to stop thinking of Go as a language for mission critical parallel computing and think of it more like a Python 4 made for low-risk prototyping. Mature libraries help for that prototyping, you know how to put them together and get something working, that something just won't be scaleable, efficient, or thread-safe.

I first learned about this technique when gRPC generated code started using it. See the short readme and the long issue discussion. I think a lot more of the rationale from the discussion should have made it into the readme, since this is the only time most Go developers will ever see this technique used, especially since it can't be retrofitted to existing interfaces without breaking existing implementations.

I don't have any experience with goRPC (I'm assuming you're referring to https://github.com/valyala/gorpc), but just to note that that repo hasn't been updated in 7 years and has open issues that are that old, too. https://github.com/grpc/grpc-go has 17.5k stars and is actively maintained. That doesn't say anything about their relative performance - goRPC might be faster - but you probably won't have a fun time if you run into issues.