Friday, May 31 • 9:00am - 9:25am
PRO TALK: Productionizing Your Machine Learning Models with Serverless Microservices

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You've developed and trained your ML model, and it performs beautifully in your development environment -- but what happens when you move that into production, and it suddenly has to scale massively varying elastic workloads, compete with other models for memory and processing resources, or mesh with models deployed in other languages and frameworks? It isn't enough to simply fire up a machine instance, write a Flask wrapper, and call it a day: properly productionizing a model requires a deep understanding of container management, load balancing, CI/CD, dynamic resource allocation, and more. In this talk, we'll look at what your team does and does not need to build in order to move from weeks of deployment time to mere minutes, while preserving elasticity, low-latency, and flexibility.

avatar for Jonathan Peck

Jonathan Peck

Developer & Advocate, Algorithmia
A full-stack developer with two decades of industry experience, Jon Peck now focuses on bringing scalable, discoverable, and secure machine-learning microservices to developers across a wide variety of platforms via Algorithmia.com

Friday May 31, 2019 9:00am - 9:25am
Workshop Stage