Show HN: Lightweight Task queue on Erlang/OTP, SQLite-backed, no overengineering (github.com)
Setting up Kafka or such enterprise oriented software with their clusters or dedicated servers is heavy and bothering enough that most small
teams or indie hackers skip it entirely and making compromise to use in-memory queues.
I wanted something in between: a persistent queue that is simple to run (one binary, which makes one sqlite db), gets real fault isolation and crash recovery due to Elixir, easy to inspect (open ezra.db in any SQLite browser and see every task), and requires no new client library - it speaks the Redis Streams wire protocol, so any Redis client in any language just works out of the box.
Very short demo video: [https://www.youtube.com/watch?v=MLYyD3DVWmE]
20 comments
[ 2.8 ms ] story [ 59.3 ms ] threadRe inspiration: no direct inspiration really, just needed this tool myself for my own projects. But I guess this project as my engineering taste was kind of influenced/validated by bright minds like Richard Hipp, Joe Armstrong, and Derek Sivers
as an answer: tare actually two ways to run it. As a standalone binary, it's one process you run(you can easily run it via docker too) on its own(which speaks on Redis protocol over TCP) - and any language connects to it like a Redis server.
Or, if you're on Elixir, you can skip the separate process entirely and add it directly to your app's supervision tree - it runs inside your own app's process, no network hop, just function calls.
Save yourself the headache of people not reading this and just disable pull requests in the repo settings
https://github.com/poundifdef/smoothmq
I agree that in many areas there often is not much in-between "roll yourself in-memory" and "enterprise grade maxed out scalability focus".
But, for sure, having your own SDKs has advantages too - you don't depend on anyone else's protocol decisions, have less dependency, eyc.
Btw, the first time I saw one company use another company's SDK, which I really liked, was in 2023, when DeepSeek used OpenAI's SDK and still think it was brilliant.