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Friday, January 24 • 11:30am - 1:25pm
Running a Self Service AI/ML Platform on OpenShift

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As data is exponentially growing in organizations, there is an increasing need to consolidate silos of information into a single source of truth, a Data Lake to feed hungry Analytics and Machine Learning Engines that can gather insight at scale. In this workshop, we will detail how SRE’s can deploy, manage, and monitor a large-scale data science platform using open-source industry-standard solutions.

This workshop will cover:
Installing and deploying a self-service data science platform using Ceph and Open Data Hub on OpenShift
Customize the standard deployments of included tools so that they meet users’ diverse needs and form a self-healing system that scales
Using open-source tools like Prometheus and Grafana to monitor the data science platform
How to detect common error conditions, generate alerts for these conditions, and resolve the root cause


Anish Asthana

Senior Software Engineer, Red Hat, Inc.
Anish is an engineer at Red Hat in the AI Services Organization. He is primarily working on the Open Data Hub - a machine learning-as-a-service platform built with OpenShift at the core. His interests include monitoring, scalability, and reliability.
avatar for Alex Corvin

Alex Corvin

Senior Software Engineer, Red Hat
Senior Software Engineer
avatar for Maulik Shah

Maulik Shah

Softwate Engineer at the AI Center of Excellence at Red Hat, Red Hat Inc.
Hi I am a Software Engineer with the AICoE at Red Hat. Before this I did my Masters in Computer Science @ Boston University. At Redhat I work as a Data Engineer which involves ferrying massive amounts of data across systems and I also work on monitoring a

Friday January 24, 2020 11:30am - 1:25pm CET
Workshop Room C - C228 Faculty of Information Technology, Brno University of Technology Božetěchova 1 / 2 612 00 BRNO Czech Republic