Distributed cache strategy
Open
- Dominant language
- Python
- Stars
- 142
- Forks
- 21
- PR merge metrics
- No merged PRs in 30d
Description
Hello Fellows,
I am looking at using dask for distributed computation and I was wondering what is your strategy to make cachey into horizontally scalable cache and common calculation space?
Regards,
Alex
Contributor guide
Research direction
The issue asks for a horizontally scalable cache and shared calculation space for Dask, but names no files, tests, or concrete acceptance criteria. Start by reviewing cachey’s current architecture and the seven comments, then clarify the intended design and measurable completion criteria before implementation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- distributed-systems
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100