Gubernator offers lightweight MLOps stack as simpler alternative to Kubernetes Kubeflow

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A new open-source tool called Gubernator (gbnt) aims to replace the complexity of running Kubeflow on Kubernetes for machine learning operations. Written in Go, it is a single-binary container orchestrator that uses standard Docker Compose syntax while incorporating intelligent task scheduling and built-in service discovery. The tool bundles a full MLOps suite — including JupyterLab, MLflow, MinIO object storage, and LLM inference via Ollama — deployable via a single docker-compose.yml file. Unlike Kubernetes-based Kubeflow, which can require 16–32 GB of RAM for its control plane alone, Gubernator is designed to run with significantly lower overhead. The project targets researchers, startups, and engineering teams for whom full Kubernetes infrastructure is considered excessive for typical MLOps workloads.

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