KitOps

Serve your ML model in any cloud in minutes. Unified model packaging format enabling both online and offline serving on any platform. 100x the throughput of your regular flask-based model server, thanks to our advanced micro-batching mechanism. Deliver high-quality prediction services that speak the DevOps language and integrate perfectly with common infrastructure tools. Unified format for deployment. High-performance model serving. DevOps best practices baked in. The service uses the BERT model trained with the TensorFlow framework to predict movie reviews' sentiment. DevOps-free BentoML workflow, from prediction service registry, deployment automation, to endpoint monitoring, all configured automatically for your team. A solid foundation for running serious ML workloads in production. Keep all your team's models, deployments, and changes highly visible and control access via SSO, RBAC, client authentication, and auditing logs.

The Industry Standard Universal Binary Repository Manager. Supports all major package types (over 27 and growing) such as Maven, npm, Python, NuGet, Gradle, Go, and Helm including Kubernetes and Docker as well as integration with leading CI servers and DevOps tools that you already use. Additional functionalities include: - High Availability that scales to infinity with active/active clustering of your DevOps environment and scales as business grows - On-Prem, Cloud, Hybrid, or Multi-Cloud Solution - De Facto Kubernetes Registry managing application packages, operating system’s component dependencies, open source libraries, Docker containers, and Helm charts with full visibility of all dependencies. Compatible with a growing list of Kubernetes cluster providers.