devloperdevesh / devloperdevesh/FaultPlane
[FEATURE] Implement Multi-Tenant Resource Quota Governor and Automatic Rate-Limiting Ceilings
Nobody has claimed this yet.
- Dominant language
- Go
- Stars
- 2
- Forks
- 1
- Avg merge
- 14m
- Merged PRs (30d)
- 57
Description
Problem
Adversarial or malfunctioning multi-agent tool loops can execute malicious recursive processing chains, causing individual tenant clusters to completely exhaust host file descriptors, flood socket memory buffers, and choke sibling workspace operations channels [1.5].
Proposed Solution
Develop a strict multi-tenant resource containment engine inside internal/governance/quota_manager.go:
- The Ingress Token Bucket Rate-Limiter: Integrate a high-velocity token bucket system tracking connection frequencies against hard configured environment quota parameters per tenant ID.
- Dynamic Circuit Breaker Triggers: When a specific agent container's thread allocation bounds cross the safety ceiling parameters (e.g., CPU reservation over 90%), instantly fire an operational fallback signal to throttle that single workspace layer cleanly without degrading core system infrastructure runtimes.
Use Case
Directly addresses the high-priority enterprise security governance criteria specified inside the latest YC Requests for Startups, protecting shared cloud margins natively against volatile processing loops.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reading internal/governance/quota_manager.go and identifying how tenant IDs and environment quota parameters are represented. Define the token-bucket ingress limits and circuit-breaker safety ceilings before implementing the containment engine. Done means each tenant can be rate-limited independently and an over-ceiling agent workspace is throttled without degrading sibling operations.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- go
- Domain
- cloud, infrastructure
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100