A library and pattern for low latency applications
Project description
# data-locality-system
DLS is a library and pattern that tries to keep data and processing near together for latency and performance.
# Usage
Split up your API request handler into a series of methods with each method being responsible for some API call or processing.
Automatically
OpenTracing wraps all your spans
Requests are routed to servers which are favourable
Requests run in parallel using threads.
# Usage
Run each DLS service using Gunicorn.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Close
Hashes for data-locality-system-0.0.5.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9be9a0077bf51c350da096b395156398e008135690f6df1cac3b39b2997d23d9 |
|
MD5 | ddf3d744d35d587443d42db529bca6ff |
|
BLAKE2b-256 | 7f9f542677b1dcc28167cfb4b4e8337573e18604b5f9bec9daec935d8bec68e7 |
Close
Hashes for data_locality_system-0.0.5-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7344834cc77652de904c5c07d04abea92ad475740f3660d8a0735332a5a37326 |
|
MD5 | 0f2bf6fb47bdd3b706011ee994dbfbad |
|
BLAKE2b-256 | cd8857bc72e84498d5f6cdffb947576e91f32d8deee196272df61ef8ac685ce3 |