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Apache Airflow is a platform created by the community to programmatically author, schedule and monitor workflows.

LiteLLM is a universal LLM API gateway that provides OpenAI-compatible APIs for 100+ LLM providers including Bedrock, Azure, OpenAI, Anthropic, Vertex AI, and more.

The Kubeflow Pipelines provides the UI of the Kubeflow Pipeline ecosystem.

A python-based machine learning framework, providing tensors, dynamic neural networks and strong GPU acceleration.

Downloads model artifacts from various storage backends (S3, GCS, Azure, etc.) before KServe model serving containers start.

The Kubeflow Pipelines API Server coordinates k8s workflows in the Kubeflow Pipeline ecosystem.

A Kubernetes Custom Resource Definition for serving machine learning (ML) models on arbitrary frameworks.

The Kubeflow Pipelines Metadata Writer handles pipeline execution metadata in the Kubeflow Pipeline ecosystem.

MLflow is an open-source platform for managing the machine learning lifecycle: experiment tracking, reproducible runs, model packaging, and deployment. This image provides the mlflow CLI and server runtime packaged as a hardened container for secure production deployments.

By this point in the module, you should have multiple modern web browsers installed on your computer or other available devices. This article goes deeper into using browsers, looking at how a web browser works, the difference between some of the everyday things you'll interact with, and how to search for information.