[Verse 1] From raw data to production deployment We need a pipeline that flows without delay Airflow orchestrates each transformation While Kubeflow keeps the models on their way Prefect and Dagster handle dependencies Making sure each step runs when it should Building end-to-end with consistency From ingestion to serving, understood [Chorus] Pipeline, pipeline, data flows through Orchestrate, validate, deploy what's true Feature stores and CI-CD too Pipeline, pipeline, seeing it through Gates and checks at every stage Model registry turns the page Pipeline, pipeline, ML's new age [Verse 2] Feast and Tecton serve our features clean Hopsworks manages what the models need Consistent data, batch and real-time stream Feature stores plant the serving seed Version control with DVC in place LakeFS tracks every data change we make Delta Lake maintains the storage space While pipelines run for business sake [Chorus] Pipeline, pipeline, data flows through Orchestrate, validate, deploy what's true Feature stores and CI-CD too Pipeline, pipeline, seeing it through Gates and checks at every stage Model registry turns the page Pipeline, pipeline, ML's new age [Bridge] Automated testing guards the gate Model validation sets the fate If performance metrics pass the test Then deployment triggers do the rest MLflow registry holds each version SageMaker, Vertex AI conversion Terraform builds the infrastructure Pulumi codes the ML architecture [Verse 3] CI-CD pipelines run the show Testing models before they go Validation gates won't let them pass Until they meet our quality class From training jobs to serving layers Each component has its players End-to-end automation flows That's how production ML goes [Chorus] Pipeline, pipeline, data flows through Orchestrate, validate, deploy what's true Feature stores and CI-CD too Pipeline, pipeline, seeing it through Gates and checks at every stage Model registry turns the page Pipeline, pipeline, ML's new age [Outro] Build it once and let it run Automated ML has begun Pipeline, pipeline, job well done
โ Unit 5.1 โ Model Deployment & Serving | Unit 5.3 โ Monitoring, Observability & Drift Detection โ