lablup / lablup/backend.ai

Experiment-based configuration and result tracker

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Dominant language
Python
Stars
670
Forks
183
Avg merge
15h 13m
Merged PRs (30d)
368

Description

Something like https://github.com/IDSIA/sacredLet's build an extension to Backend.AI kernels upon Sacred or something a derivative to monitor long-running computations.

┆Issue is synchronized with this [Asana task](https://app.asana.com/0/1159751085623729/1159757307115267) by [Unito](https://www.unito.io/learn-more)

JIRA Issue: BA-339

Contributor guide

Open the contributing guide

Research direction

Start by studying the Backend.AI kernel extension points and the Sacred project referenced in the issue. Determine how experiment configuration and long-running computation results should be represented and monitored. Done means an agreed design and working integration, but the issue does not identify files, tests, or concrete acceptance criteria.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
backend, distributed-systems, observability
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

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