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DevConf.US 2021 is the 5th annual, free, Red Hat sponsored technology conference for community project and professional contributors to Free and Open Source technologies coming to Boston!
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Friday, September 3 • 11:30 - 12:00
Modernizing Machine Learning workflows with GitOps

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Managing software is a challenging endeavor. Manual operations, fragile snowflake pipelines, and managing deployments across hybrid cloud topologies are among the typical headaches that service-owning teams are all too familiar with. While Kubernetes excels at running microservice applications, the deployment and ongoing management of more complex applications can be time consuming for end users. With an abundance of possible avenues to take, teams are often left questioning what to do. Over the course of this session we will show how we transitioned from the wild west of manually created Kubernetes objects to an easily maintained self-service AI/ML platform managed by an automated continuous deployment solution. We will then demonstrate how to go from an empty cluster to a self-sufficient ML platform with only a few clicks! Attendees will walk away understanding how GitOps can improve reliability and time-to-value for all their hybrid cloud applications, including ML workflows.


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.

Humair Khan

Software Engineer, Red Hat, Inc.
I am a Software Engineer working for AI CoE (Artificial Intelligence Center of Excellence). I work with the AIOPS division and often collaborate with the Data Hub team in managing ODH, Data pipelines, etc. I am also part of the AI CoE SRE initiative.

Friday September 3, 2021 11:30 - 12:00 EDT