DoEKS is a tool to build, deploy and scale Data Platforms on Amazon EKS

A tool to deploy a mostly serverless MLflow tracking server on a GCP project with one command

MLflow Tracking Server with basic auth deployed in AWS App Runner.

Terraform frame to deploy a MLOps plattform on AWS EKS using Airflow, MLflow, and Jupyterhub.

A repository for remotely deploying a machine learning model track service to AWS.

Projeto completo de MLOps (ponta a ponta) na cloud da AWS usando Terraform (infraestrutura como código) e deploy automático via CI/CD com GitHub Actions.

Basic usage scripts with terraform

Terraform Solutions for Charmed MLflow

A terraform module to productionalize MLflow on top of AWS (Fargate + Aurora Serverless + S3)

Train & track a model using Databricks & MLflow, triggering a Azure DevOps* build pipeline with each model stage change, downloading the model artifacts from MLflow, building a Docker container to package them and pushing this container to Azure Container Registry.