A message broker where fair scheduling and per-key throttling are first-class primitives.
Tenant-fair LLM inference orchestration on a single GPU. No Kubernetes.
QoS admission control and capacity intelligence for finite AI inference capacity
Distributed job scheduling API with priority-based fair-share scheduling, JWT authentication, and resource management. Built with Go, PostgreSQL, and Gin.
Per tenant fairness under one shared ceiling with borrowing that never starves a returning tenant
Fair weekly shift roster generator from CSV inputs (skills, availability, hour caps)
Fairly schedule async tasks and prevent any since user/subject from monopolizing the system resources.
One noisy tenant shouldn't take everyone's GPUs down. A self-hostable LLM gateway that shares inference capacity fairly across tenants, sheds overload cleanly and fails over without breaking an answer.
Infer and enforce QoS policies for cloud-native workloads using eBPF, ensuring performance and reliability without sidecars.
A TypeScript CLI to fairly schedule team members on Sundays and Wednesdays
A Go-based request queue and gateway for self-hosted LLM inference with admission control, fair scheduling, rate limiting, deduplication, worker leases, and recovery.
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