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May 4 - May 7
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Thursday, May 6 • 14:20 - 14:55
Building MLOps POCs and Sandbox Environments Using k3s and Argo - Sergio Mendez, Universidad San Carlos de Guatemala

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This talk presents the challenges that corporations have when they evaluate technologies for data pipelines automation or for MLOps workflows, this includes processes like ETL, ML model generation and ML model deployments. At the same time, this talk shows how open source technologies can help to reduce implementation time and infrastructure costs for MLOps systems. The talk also presents the advantages of using k3s as a lightweight Kubernetes for POCs, the lessons learned at work when trying to implement MLOps using Scikit Learn for ML Models and Apache Spark for ETL processes. As a complement for k3s the talk describes how Argo can replace or complement pipelines designed with Apache Airflow and how these types of technologies prepare companies for Edge Computing. At the end of the session the speaker presents a short demo showing a basic MLOps workflow implementation using k3s and Argo and showing how k3s and Argo interact with each other to deploy ML models ready to be used.

avatar for Sergio Méndez

Sergio Méndez

Professor, Universidad de San Carlos de Guatemala
Sergio Méndez is a system engineer and professor of operating systems, software engineering, and AI at San Carlos of Guatemala. Sergio is also founder and cloud architect at Cloud Society, an online social network to join tech communities. He’s currently working doing DevOps at... Read More →

Thursday May 6, 2021 14:20 - 14:55 CEST
ML Theater
  Machine Learning + Data