Deploying ClearML as an AWS SageMaker Alternative on Ubuntu

Short summary

ClearML is an open-source MLOps platform providing experiment tracking, automated pipelines, hyperparameter optimization, and model serving—a self-hosted alternative to AWS SageMaker. This tutorial deploys ClearML server on Ubuntu with Docker Compose and Traefik for reverse-proxy SSL termination, then registers agents, runs sample experiments, builds pipelines, and sets up serving. By completion, you have a production-grade MLOps infrastructure covering the full ML lifecycle without cloud lock-in.

• •Deploy ClearML server with Docker Compose on Ubuntu, fronted by Traefik for HTTPS routing across three subdomains
• •Register agents and run ML experiments with full tracking, hyperparameter optimization sweeps, and model serving
• •Complete MLOps stack covering training, pipeline orchestration, hyperparameter tuning, and production deployment

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