Communitymlopskubernetesinfrastructure as code
Kaos Simplifies MLOps Model Deployment Across Kubernetes
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7.1
Open-source project kaos, developed by Alejandro Saucedo, offers a Heroku-like CLI to package, train, and serve ML models without writing Kubernetes configuration. The project, active primarily in 2021–2022, enforces infrastructure-as-code for reproducibility and aims to reduce the industry’s deployment gap—VentureBeat estimates 87% of data science projects never reach production. Kaos targets smaller teams seeking simpler MLOps on Kubernetes.
Scoring Rationale
Practical, credible open-source MLOps tooling with clear practitioner value, but offers incremental rather than transformative innovation.
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