⚠️ BentoCTL project has been deprecated

Plese see the latest BentoML documentation on OCI-container based deployment workflow: https://docs.bentoml.com/

🚀 Fast model deployment on any cloud

bentoctl helps deploy any machine learning models as production-ready API endpoints on the cloud, supporting AWS SageMaker, AWS Lambda, EC2, Google Compute Engine, Azure, Heroku and more.

👉 Join our Slack community today!

✨ Looking deploy your ML service quickly? You can checkout BentoML Cloud for the easiest and fastest way to deploy your bento. It's a full featured, serverless environment with a model repository and built in monitoring and logging.

Highlights

• Framework-agnostic model deployment for Tensorflow, PyTorch, XGBoost, Scikit-Learn, ONNX, and many more via BentoML: the unified model serving framework.
• Simplify the deployment lifecycle of deploy, update, delete, and rollback.
• Take full advantage of BentoML's performance optimizations and cloud platform features out-of-the-box.
• Tailor bentoctl to your DevOps needs by customizing deployment operator and Terraform templates.

Getting Started

• 💻 Quickstart Guide - Deploy your first model to AWS Lambda as a serverless API endpoint.
• 📖 Core Concepts - Learn the core concepts in bentoctl.
• 🕹️ Operators List - List of official operators and advanced configuration options.
• 💬 Join Community Slack - Get help from our community and maintainers.

Supported Platforms:

• AWS Lambda
• AWS SageMaker
• AWS EC2
• Google Cloud Run
• Google Compute Engine
• Azure Container Instances
• Heroku

Community

• To report a bug or suggest a feature request, use GitHub Issues.
• For other discussions, use Github Discussions under the BentoML repo
• To receive release announcements and get support, join us on Slack.

Contributing

There are many ways to contribute to the project:

• Create and share new operators. Use deployment operator template to get started.
• If you have any feedback on the project, share it with the community in Github Discussions under the BentoML repo.
• Report issues you're facing and "Thumbs up" on issues and feature requests that are relevant to you.
• Investigate bugs and reviewing other developer's pull requests.

Licence

Elastic License 2.0 (ELv2)