Go structured-concurrency Projects
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
I do that of course, and that's one of the easiest ways to use async Rust. In real projects you need much more however. F.ex. I had to code an example of how to add tasks to an already running pool of tasks and posted my findings here: https://github.com/dimitarvp/rust-async-examples/blob/main/e... (there's #2 as well with some more comments and a different approach).
The fact that I needed to make a GitHub repo and start making show-and-tell demos on how to do various things with async Rust to me is both a red flag and me being diligent BUT it should be more obvious. And promoted in docs.
Rust started suffering from "you got all the nuts and bolts in place, now build your own solution, son" syndrome which I grew to dislike. Too low-level. I wouldn't mind something akin to e.g. Golang's flowmatic library (check the first two examples at the top of the README): https://github.com/carlmjohnson/flowmatic
Index
| Project | Stars | |
|---|---|---|
| 1 | flowmatic | 249 |
Sponsored