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Monday, March 30 • 14:50 - 15:20
A Practical CI/CD Framework for ML at Massive Scale using Jenkins X - Alejandro Seldon, Seldon

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Managing production machine learning systems as internal data science infrastructure requirements grow has uncovered new challenges which have required fundamentally different approaches to that of traditional CI/CD in software engineering. In this talk we will dive into the work we are doing at the SIG-MLOps and the CD Foundation towards developing the methodoloties that encompass best practices to continuously integrate and deploy machine learning in production at massive scale.

In this talk we'll provide insights on the core MLOps concepts, as well as a hands on coding example where we take a model through its deployment and promotion lifecycle. We will be using Jenkins X (with Prow & Tekton) to deploy/promote these models across multiple environments. We will use KIND (Kubernetes in Docker) to run integration tests in our development envionment. Finally we'll be using Seldon (with Istio) to orchestrate & monitor these models leveraging canary and shadow deployments.


Alejandro Seldon

Saucedo, Seldon
Alejandro is the Director of Machine Learning Engineering at Seldon Technologies, where he leads large scale projects implementing open source and enterprise infrastructure for Machine Learning Orchestration and Explainability. Alejandro is also the Chief Scientist at the Institute... Read More →

Monday March 30, 2020 14:50 - 15:20
RAI Amsterdam