gleam
Moleculer
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gleam | Moleculer | |
---|---|---|
95 | 16 | |
14,935 | 6,016 | |
60.5% | 1.0% | |
9.9 | 7.5 | |
6 days ago | 2 days ago | |
Rust | JavaScript | |
Apache License 2.0 | MIT 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.
gleam
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Release Radar • March 2024 Edition
Want a friendly language for building safe systems at scale? Gleam is here for you. It features modern and familiar syntax, that's reliable and scalable. Gleam runs on an Erlang virtual machine, and can run plenty of concurrent tasks. It comes with a compiler, build tool, formatter, editor integrations, and package manager all built in so you can get started right away. Congrats to the team on shipping your first major version 🙌.
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The Current State of Clojure's Machine Learning Ecosystem
While I love Clojure, I have to agree about tooling. I recently started using Gleam* and was impressed at how easy it was to get up and running with the CLI tool. I think this is an important part of getting people to adopt a language.
* https://gleam.run/
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Show HN: I open-sourced the in-memory PostgreSQL I built at work for E2E tests
If you use languages that compile to WASM (such as Gleam https://gleam.run), and can also run Postgres via WASM, then it opens very interesting offline scenarios with codebases which are similar on both the client and the server, for instance.
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Why the number of Gleam programmers is growing so fast?
Recently, Gleam has gained more popularity, and a lot of developers (including me) are learning it. At the time of this writing, it has exceeded 14k stars on GitHub; it grew really fast for the last month.
- Cranelift code generation comes to Rust
- Gleam v1.0.0
- Gleam has a 1.0 release candidate
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Welcome to the Gleam Language Tour
Oh, strange that github had a date of 2016 on this one: https://github.com/gleam-lang/gleam/issues/2
I was just going by that, though I do remember checking out gleam 5 years ago or so.
Re: macros, I really do think they’re a big deal and all the other newer languages I’ve used, such as Rust have some kind of macros or powerful meta programming features.
For older languages, a few, like Ruby have enough meta programmability to make nice DSLs, but many others don’t. Given the choice, I’d much rather have Elixir/Clojure style macros than other meta-programming facilities I’ve seen so far.
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Inko Programming Language
I had been only following this language with some interest, I guess this was born in gitlab not sure if the creator(s) still work there. This is what I'd have wanted golang to be (albeit with GC when you do not have clear lifetimes).
But how would you differentiate yourself from https://gleam.run which can leverage the OTP, I'd be more interested if we can adapt Gleam to graalvm isolates so we can leverage the JVM ecosystem.
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Switching to Elixir
I don't think the implementation itself is at fault, but yes, I do think that the design of dialyzer makes it an (at times) faulty type checker. The unfortunate reality of a type checker that fails sometimes is that it makes it mostly useless because you can never trust that it'll do the job.
To be clear, I've had it fail in a function where I've literally specced that very function to return a `binary` but I'm returning an `integer` in one of the cases. This is a very shallow context but it can still fail. Now add more functions, maybe one more `case`.
I think an entire rethink of type checking on the BEAM had to be done and that's why eqWalizer[0] was created and why Elixir is looking to add an actual sound, well-developed type checker. Gleam[1] I would assume is just a Hindley-Milner system so that's completely solid. `purerl`[2] is just PureScript for the BEAM so that's also Hindley-Milner, meaning it's solid. `purerl` has some performance issues caused by it compiling down to closures everywhere but if you can pay that cost it's actually pretty fantastic. With that said my bet for the best statically typed experience right now on the BEAM would be `gleam`.
0 - https://github.com/WhatsApp/eqwalizer
1 - https://gleam.run
2 - https://github.com/purerl/purerl
Moleculer
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Make microservices look like monoliths
My goto for this kind of task is moleculer: https://moleculer.services/
Fast, battle tested, vue2-like approach, great documentation, good community. The automatic indipendent-scalability as an option is usually the main selling point of these solutions, but honestly I think the real pro is the "composition" approach, which is essential if you want to keep a clean and well-organized codebase. On this regard, I found moleculer pretty great even for large teams.
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How to Import/Reference a Microservice from another one
If you’re using k8s, check out https://moleculer.services and this would likely solve what you’re looking for.
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Node JS Microservice Frameworks for Developing Scalable Web Apps.
Molecular – Progressive Microservices Framework for Node.js
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First time building microservice-based application
While you’re delving into microservices, check out Moleculer https://moleculer.services
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if Nodejs does not meant for CPU intensive tasks so I think it's better to avoid it from the beginning
I almost can’t believe I haven’t seen it mentioned here before, but adding Moleculer into your node project (if it’s clustered/k8s’d) will literally solve many single threaded problems, not to mention tons of other scalability issues. https://moleculer.services/
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How to deal with singletons in a distributed system?
You could use a framework for this. Have a look at moleculer
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Where can I learn to implement microservices?
I haven't used this, but it seems neat: https://moleculer.services/
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Microservices using express js
Look into Moleculer.
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Been playing with moleculerjs recently, and just finished my first package: a service that allows you to use any node API framework as a moleculer gateway.
Moleculer already provides an in-house http gateway, but what if you want to use an existing API, and how to maintain decoupled code when creating your gateway? This package solves both. You can create your API, passing in any services you require as dependencies. You can then bind your API to moleculer using the moleculer-universal-gateway.
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Don’t start with microservices – monoliths are your friend
But there's more to the topic of microservices. Seems like all the conversation focuses on deployment pain. You can build a service with something like Akka or Moleculer where the modules act independently and have some message passing and resilience from each other, but they can still all live in one codebase, one process, and deployed as one unit. It works fine and isn't painful at all. And maybe down the line you decide to split the thing up into multiple processes and multiple deployment units, and that's an easy refactor because the modules are already somewhat separated.
What are some alternatives?
are-we-fast-yet - Are We Fast Yet? Comparing Language Implementations with Objects, Closures, and Arrays
Nest - A progressive Node.js framework for building efficient, scalable, and enterprise-grade server-side applications with TypeScript/JavaScript 🚀
web3.js - Collection of comprehensive TypeScript libraries for Interaction with the Ethereum JSON RPC API and utility functions.
Express - Fast, unopinionated, minimalist web framework for node.
Rustler - Safe Rust bridge for creating Erlang NIF functions
AWS Lambda Router for NodeJS - AWS Lambda router for NodeJS
ponyc - Pony is an open-source, actor-model, capabilities-secure, high performance programming language
seneca - A microservices toolkit for Node.js.
nx - Multi-dimensional arrays (tensors) and numerical definitions for Elixir
AdonisJs Framework - AdonisJS is a TypeScript-first web framework for building web apps and API servers. It comes with support for testing, modern tooling, an ecosystem of official packages, and more.
hamler - Haskell-style functional programming language running on Erlang VM.
fastify - Fast and low overhead web framework, for Node.js