libnodelay
go
libnodelay | go | |
---|---|---|
1 | 2,074 | |
6 | 119,718 | |
- | 0.6% | |
10.0 | 10.0 | |
over 2 years ago | about 24 hours ago | |
C | Go | |
GNU General Public License v3.0 only | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
libnodelay
-
Golang is evil on shitty networks
> not to mention nearly 50% of every packet was literally packet headers
I was just looking at a similar issue with grpc-go, where it would somehow send a HEADERS frame, a DATA frame, and a terminal HEADERS frame in 3 different packets. The grpc server is a golang binary (lightstep collector), which definitely disables Nagle's algorithm as shown by strace output, and the flag can't be flipped back via the LD_PRELOAD trick (e.g. with a flipped version of https://github.com/sschroe/libnodelay) as the binary is statically linked.
I can't reproduce this with a dummy grpc-go server, where all 3 frames would be sent in the same packet. So I can't blame Nagle's algorithm, but I am still not sure why the lightstep collector behaves differently.
go
-
Evolving the Go Standard Library with math/rand/v2
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
-
Microsoft Maintains Go Fork for FIPS 140-2 Support
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.
-
Borgo is a statically typed language that compiles to Go
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
-
AWS Serverless Diversity: Multi-Language Strategies for Optimal Solutions
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.
-
How to use Retrieval Augmented Generation (RAG) for Go applications
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!
-
From Homemade HTTP Router to New ServeMux
net/http: add methods and path variables to ServeMux patterns Discussion about ServeMux enhancements
-
Building a Playful File Locker with GoFr
Make sure you have Go installed https://go.dev/.
- Fastest way to get IPv4 address from string
- We now have crypto/rand back ends that ~never fail
-
Why Go is great choice for Software engineering.
The Go Programming Language
What are some alternatives?
rke2
v - Simple, fast, safe, compiled language for developing maintainable software. Compiles itself in <1s with zero library dependencies. Supports automatic C => V translation. https://vlang.io
.NET Runtime - .NET is a cross-platform runtime for cloud, mobile, desktop, and IoT apps.
TinyGo - Go compiler for small places. Microcontrollers, WebAssembly (WASM/WASI), and command-line tools. Based on LLVM.
certificate-transparency-go - Auditing for TLS certificates (Go code)
zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
grpc-go - The Go language implementation of gRPC. HTTP/2 based RPC
Nim - Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).
kubernetes - Production-Grade Container Scheduling and Management
Angular - Deliver web apps with confidence 🚀
s2n - An implementation of the TLS/SSL protocols
golang-developer-roadmap - Roadmap to becoming a Go developer in 2020