libaws
Nim
libaws | Nim | |
---|---|---|
57 | 348 | |
440 | 16,104 | |
- | 0.6% | |
7.9 | 9.9 | |
17 days ago | 4 days ago | |
Go | Nim | |
MIT License | GNU General Public License v3.0 or later |
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.
libaws
-
Go's Error Handling Is Perfect
i print the error along with file and line number every time i return it. clunky, but it works.
in fact i print file and line with every log message.
https://github.com/nathants/libaws/blob/87fb45b4cae20abd1bb1...
-
The worst thing about Jenkins is that it works
cloud is so good now it’s hard to justify not doing something bespoke. ec2 spot is insanely cheaper than turnkey cicd, and better in almost every way.
i’m delighted to pay 30% over infra cost for convenience, but not 500%. and it better actually be convenient, not just have a good landing page and sales team.
this month i learned localzones have even better spot prices. losangeles-1 is half the spot price of us-west-2.
for a runner, do something like this, but react to an http call instead of a s3 put[1].
for a web ui do something like this[2].
s3, lambda, and ec2 spot are a perfect fit for cicd and a lot more.
1. https://github.com/nathants/libaws/tree/91b1c27fc947e067ed46...
2. https://github.com/nathants/aws-exec/tree/e68769126b5aae0e35...
-
Cloud, Why So Difficult?
like linux, cloud is a lot to learn, but worth it.
like linux, cloud is best kept simple, or it can become brittle and confusing.
like linux, cloud has a lot of cool things like zfs, that should be appreciated but rarely used.
like linux, using go makes your life a lot easier. the aws go sdk is the documentation.
like linux, you have to learn a lot and then find the core utility you actually care about. for me it is:
https://github.com/nathants/libaws
-
Kubernetes Is Hard
the good new is, for the 95% of projects that can tolerate it, aws the good parts are actually both simple and easy[1].
it’s hard to find things you can’t build on s3, dynamo, lambda, and ec2.
if either compliance or a 5% project demand it, complicated solutions should be explored.
1. https://github.com/nathants/libaws
-
Rapid growth, lessons learned and improvements at Fly.io
i also wanted a good cli for aws, and built one:
https://github.com/nathants/libaws
companies like fly are fantastic.
they provide a good service, and they put market pressure on aws.
-
From Go on EC2 to Fly.io: +fun, −$9/mo
cool transition and fun writeup!
for low, intermittent traffic sites, go on lambda might be a better comparison:
https://github.com/nathants/libaws/tree/master/examples/simp...
-
Ask HN: What is the most barebone back end solution?
lambda + s3. add ec2 spot if you need it.
just make sure you understand how billing works. mostly it’s just egress bandwidth is expensive.
do something like this:
https://github.com/nathants/aws-gocljs
or with less opinions:
https://github.com/nathants/libaws/tree/master/examples/simp...
welcome to cloud, glhf!
-
Ask HN: Cool side project you have written using Golang
aws ux for retaining both hair and sanity.
https://github.com/nathants/libaws
-
Ask HN: How to get more experience with system design questions (esp scaling)?
build and scale systems with artificial load on aws! scaling the load testing will be just as interesting as scaling the system under test.
start with low bottlenecks, ie a cluster of c6i.large ec2 spot. how fast can you do this? have fast can you scale that? ec2 and s3 is all you need to build anything.
use ec2 spot, avoid network egress, avoid cross region/zone traffic, create and destroy ec2 instances as needed instead of letting them sit idle. you could grow system scaling intution for the price of your streaming subscriptions.
start with something like this:
https://github.com/nathants/libaws/tree/master/examples/comp...
maybe mess around with public datasets on aws, just make sure to be in the correct region to avoid data egress.
welcome systems friend. one accurate measurement is worth a thousand expert opinions. scaling is fun!
-
Static site hosting hurdles
aws has too many knobs, presumably to satisfy the union of the needs of all the enterprise customers. that said, lambda+s3+dynamodb+ec2 are pretty good once you tape over all the knobs that aren't needed. i work with them like this[1].
these days i build on aws and r2. aws for the nuts and bolts, r2 for high bandwidth egress. it's a perfect match.
1. https://github.com/nathants/libaws
Nim
- The search for easier safe systems programming
- 3 years of fulltime Rust game development, and why we're leaving Rust behind
-
Top Paying Programming Technologies 2024
22. Nim - $80,000
-
"14 Years of Go" by Rob Pike
I think the right answer to your question would be NimLang[0]. In reality, if you're seeking to use this in any enterprise context, you'd most likely want to select the subset of C++ that makes sense for you or just use C#.
[0]https://nim-lang.org/
- Odin Programming Language
-
Ask HN: Interest in a Rust-Inspired Language Compiling to JavaScript?
I don't think it's a rust-inspired language, but since it has strong typing and compiles to javascript, did you give a look at nim [0] ?
For what it takes, I find the language very expressive without the verbosity in rust that reminds me java. And it is also very flexible.
[0] : https://nim-lang.org/
-
The nim website and the downloads are insecure
I see a valid cert for https://nim-lang.org/
-
Nim
FYI, on the front page, https://nim-lang.org, in large type you have this:
> Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula.
-
Things I've learned about building CLI tools in Python
You better off with using a compiled language.
If you interested in a language that's compiled, fast, but as easy and pleasant as Python - I'd recommend you take a look at [Nim](https://nim-lang.org).
And to prove what Nim's capable of - here's a cool repo with 100+ cli apps someone wrote in Nim: [c-blake/bu](https://github.com/c-blake/bu)
-
Mojo is now available on Mac
Chapel has at least several full-time developers at Cray/HPE and (I think) the US national labs, and has had some for almost two decades. That's much more than $100k.
Chapel is also just one of many other projects broadly interested in developing new programming languages for "high performance" programming. Out of that large field, Chapel is not especially related to the specific ideas or design goals of Mojo. Much more related are things like Codon (https://exaloop.io), and the metaprogramming models in Terra (https://terralang.org), Nim (https://nim-lang.org), and Zig (https://ziglang.org).
But Chapel is great! It has a lot of good ideas, especially for distributed-memory programming, which is its historical focus. It is more related to Legion (https://legion.stanford.edu, https://regent-lang.org), parallel & distributed Fortran, ZPL, etc.
What are some alternatives?
kawipiko - kawipiko -- blazingly fast static HTTP server -- focused on low latency and high concurrency, by leveraging Go, `fasthttp` and the CDB embedded database
zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
aws-nuke - Nuke a whole AWS account and delete all its resources.
go - The Go programming language
awesome-paas - A curated list of PaaS, developer platforms, Self hosted PaaS, Cloud IDEs and ADNs.
Odin - Odin Programming Language
pytago - A source-to-source transpiler for Python to Go translation
rust - Empowering everyone to build reliable and efficient software.
serverless-express - Run Express and other Node.js frameworks on AWS Serverless technologies such as Lambda, API Gateway, Lambda@Edge, and more.
crystal - The Crystal Programming Language
dockerfile-rails - Provides a Rails generator to produce Dockerfiles and related files.
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