opentelemetry-go-contrib VS go

While many programming languages provide robust support for Open Telemetry, this instance focuses on Golang. It's important to note that, in the current context, the logs SDK for Golang is not implemented. For future reference consult the list of supported languages and explore the Open Telemetry repositories. Always prioritize the main repository and its contrib repository, housing extensions and instrumentation libraries crucial to the Open Telemetry framework. Stay updated with the latest developments to ensure seamless integration and enhanced functionality.

It’s assumed that the instrumentation of each component has been completed, and the HTTP communication has also been instrumented by net/http auto instrumentation library.

Tracing, including context propagation, is easy to set up with REST or gRPC. You can instrument most important parts of your application with the contrib package. Some libraries like go-redis have their own otel features, which could be a promising trend in the future. There are some important gaps though; for example, you'll have to go third party for database/sql.

I see! Yeah, this is one where where otel-go is a lot harder to use, but it's something the SIG is looking at. A coworker of mine is helping drive a design that's sort of an "easy button" to configure all the things with the least-surprising defaults[0] and we're seeing how people like it in our SDK distribution that uses it[1]. I hope that sometime soon we'll have the design polished-up enough to get merged in. Like most OSS projects, it'll take some time but I'm confident we can get it done.

The main challenge is that there's a large variety of use cases to fulfill (e.g., someone wants custom context propagation, a custom span processor, and export over HTTP+json but not HTTP+protobuf) and today the answer to that is that you have to pull in all the libraries for all the things you need. It's a lot more energy you need to expend to get started with all of this than it needs to be.

As for logging support in the Go SDK, it's frozen mostly just due to lack of bandwidth and a need to finish what's already been started. Metrics have proven to be much more difficult and time-consuming to implement correctly across all languages, with Go being impacted harder than other languages (e.g., Python and .NET). I think you can expect logging integrations in the near-ish future though.

This is great feedback. I'll pass it on folks who haven't seen it. Thank you! And please feel free to file issues about all the things that rub you the wrong way

[0]: https://github.com/open-telemetry/opentelemetry-go-contrib/p...

[1]: https://github.com/honeycombio/honeycomb-opentelemetry-go

OpenTelemetry middleware for Gin

OpenTelemetry is the work-in-progress merge of OpenCensus and OpenTracing. It is still in early stages as of 2021. We are using its instrumentation libraries opentelemetry-go and [opentelemetry-go-contrib]https://github.com/open-telemetry/opentelemetry-go-contrib/) for our Go services.

Usually the span propagation is located in headers Here you can see an example https://github.com/open-telemetry/opentelemetry-go-contrib/blob/main/instrumentation/github.com/gin-gonic/gin/otelgin/gintrace.go

OpenTelemetry has specific instrumentation packages to support popular Golang packages and use cases. For example, this app uses the Gin framework for request routing. OpenTelemetry provides instrumentation package named otelgin to instrument the Gin framework which you need to import in your app. You can find the complete list of supported Golang packages by OpenTelemetry here.

Hi u/brofesor, Your understanding is correct. Though the library you mentioned is not official. I found an issue in the official repo regarding this https://github.com/open-telemetry/opentelemetry-go-contrib/issues/714

Here I described all my experiments: https://github.com/open-telemetry/opentelemetry-go-contrib/issues/746

The description indicates it is not production ready, and is archived at the same time.

If you pull all stops in each respective language, C# will always end up winning at parsing text as it offers C structs, pointers, zero-cost interop, Rust-style struct generics, cross-platform SIMD API and simply has better compiler. You can win back some performance in Go by writing hot parts in Go's ASM dialect at much greater effort for a specific platform.

For example, Go has to resort to this https://github.com/golang/go/blob/4ed358b57efdad9ed710be7f4f... in order to efficiently scan memory, while in C# you write the following once and it compiles to all supported ISAs with their respective SIMD instructions for a given vector width: https://github.com/dotnet/runtime/blob/56e67a7aacb8a644cc6b8... (there is a lot of code because C# covers much wider range of scenarios and does not accept sacrificing performance in odd lengths and edge cases, which Go does).

Another example is computing CRC32: you have to write ASM for Go https://github.com/golang/go/blob/4ed358b57efdad9ed710be7f4f..., in C# you simply write standard vectorized routine once https://github.com/dotnet/runtime/blob/56e67a7aacb8a644cc6b8... (its codegen is competitive with hand-intrinsified C++ code).

There is a lot more of this. Performance and low-level primitives to achieve it have been an area of focus of .NET for a long time, so it is disheartening to see one tenth of effort in Go to receive so much spotlight.

A Discussion about including this package in Go as encoding/json/v2 has been started on the Go Github project on 2023-10-05. Please provide your feedback there.

I like the Principles section. Very measured and practical approach to releasing new stdlib packages. https://go.dev/blog/randv2#principles

The end of the post they mention that an encoding/json/v2 package is in the works: https://github.com/golang/go/discussions/63397

There used to be the GO FIPS branch :

https://github.com/golang/go/tree/dev.boringcrypto/misc/bori...

But it looks dead.

And it looks like https://github.com/golang-fips/go as well.

I'm not sure what exactly you mean by acknowledgement, but here are some counterexamples:

- A proposal for sum types by a Go team member: https://github.com/golang/go/issues/57644

- The community proposal with some comments from the Go team: https://github.com/golang/go/issues/19412

Here are some excerpts from the latest Go survey [1]:

- "The top responses in the closed-form were learning how to write Go effectively (15%) and the verbosity of error handling (13%)."

- "The most common response mentioned Go’s type system, and often asked specifically for enums, option types, or sum types in Go."

I think the problem is not the lack of will on the part of the Go team, but rather that these issues are not easy to fix in a way that fits the language and doesn't cause too many issues with backwards compatibility.

[1]: https://go.dev/blog/survey2024-h1-results

Now, I’m not going to use C++ again; I left that chapter years ago, and it’s not going to happen. C++ isn’t memory safe and easy to use and would require extended time for developers to adapt. Rust is the new kid on the block, but I’ve heard mixed opinions about its developer experience, and there aren’t many libraries around it yet. LLRD is too new for my taste, but **Go** caught my attention.

Generative AI development has been democratised, thanks to powerful Machine Learning models (specifically Large Language Models such as Claude, Meta's LLama 2, etc.) being exposed by managed platforms/services as API calls. This frees developers from the infrastructure concerns and lets them focus on the core business problems. This also means that developers are free to use the programming language best suited for their solution. Python has typically been the go-to language when it comes to AI/ML solutions, but there is more flexibility in this area. In this post you will see how to leverage the Go programming language to use Vector Databases and techniques such as Retrieval Augmented Generation (RAG) with langchaingo. If you are a Go developer who wants to how to build learn generative AI applications, you are in the right place!

net/http: add methods and path variables to ServeMux patterns Discussion about ServeMux enhancements

Make sure you have Go installed https://go.dev/.