A series of Terraform based recipes to provision popular MLOps stacks on the cloud.
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Updated
Oct 9, 2024 - HCL
A series of Terraform based recipes to provision popular MLOps stacks on the cloud.
Deploy production-grade Metaflow cloud infrastructure on AWS
Tools and utilities for operating Metaflow in production
A cloud-agnostic ML Platform that will enable Data Scientists to run multiple experiments, perform hyper parameter optimization, evaluate results and serve models (batch/realtime) while still maintaining a uniform development UX across cloud environments
Simply Automate Monitoring Infrastructure with Terraform, Ansible, AWS EC2, Nginx, Prometheus, Grafana and Github Actions 😄
Terraform frame to deploy a MLOps plattform on AWS EKS using Airflow, MLflow, and Jupyterhub.
Serverless MLOps pipeline for multi-account deployment with Step Functions and Terraform
A collection of my personal DevOps projects, notes, and automation scripts. I share things I’ve learned about Terraform, Ansible, Kubernetes, Docker and different cloud providers. Whether you're just starting out or already deep into DevOps, feel free to explore, try things out, and maybe even contribute.
My Health App Infrastructure Repository
Setting up an MLOps pipeline using AWS services
Deploy Machine Learning resources within AWS via Terraform for MLOps using lambda functions.
Kestra configuration for the CVops Research project, automating CV creation using CI/CD pipeline with Terraform, Docker, and Azure.
Reusable Terraform modules for OpenCloudHub MLOps platform infrastructure
Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.
Basic usage scripts with terraform
Add a description, image, and links to the mlops topic page so that developers can more easily learn about it.
To associate your repository with the mlops topic, visit your repo's landing page and select "manage topics."