Machine Learning Guide

MLA 020 Kubeflow and ML Pipeline Orchestration on Kubernetes

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Sinopse

Machine learning pipeline orchestration tools, such as SageMaker and Kubeflow, streamline the end-to-end process of data ingestion, model training, deployment, and monitoring, with Kubeflow providing an open-source, cross-cloud platform built atop Kubernetes. Organizations typically choose between cloud-native managed services and open-source solutions based on required flexibility, scalability, integration with existing cloud environments, and vendor lock-in considerations. Links Notes and resources at ocdevel.com/mlg/mla-20 Try a walking desk stay healthy & sharp while you learn & code Dirk-Jan Verdoorn - Data Scientist at Dept Agency Managed vs. Open-Source ML Pipeline Orchestration Cloud providers such as AWS, Google Cloud, and Azure offer managed machine learning orchestration solutions, including SageMaker (AWS) and Vertex AI (GCP). Managed services provide integrated environments that are easier to set up and operate but often result in vendor lock-in, limiting portability across cloud pl