spcl / spcl/serverless-benchmarks
Extended Cache Management
Open
@sanskar-singh-2403 is already working on this.
Since Jul 28, 2026.
enhancement
good first issue
- Dominant language
- Python
- Stars
- 199
- Forks
- 105
- PR merge metrics
- No merged PRs in 30d
Description
SeBS keeps a local cache of all deployed cloud resources and locally created artifacts, e.g., function builds. To support distributed deployments, we should support a mode where we merge the cache from N existing caches - remove duplicates without losing allocated resources, as long as they share the same SeBS resource ID. This should also drop local resources, as such merged cache should be usable on any machine.
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