Wednesday, November 20 • 5:20pm - 5:55pm
Flyte: Cloud Native Machine Learning & Data Processing Platform - Ketan Umare & Haytham AbuelFutuh, Lyft

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Flyte is the backbone for large-scale Machine Learning and Data Processing (ETL) pipelines at Lyft. It is used across business critical applications ranging from ETA, Pricing, Mapping, Autonomous, etc. At its core is a Kubernetes native workflow engine that executes 10M+ containers per month as part of thousands of workflows. The talk will focus on,
- Architecture of Flyte and its specification language to orchestrate compute and manage data flow across disparate systems like Spark, Flink, Tensorflow, Hive, etc.
- Deploying highly scalable and fault tolerant Kubernetes Operators
- Learnings from operating Flyte across multiple Kubernetes clusters and using other CNCF technologies like gRPC, Envoy, FluentD, Kustomize and Prometheus.
- Use-cases where Flyte can be leveraged
The talk will conclude with a demo of a machine learning pipeline built using the open source version of Flyte.

avatar for Haytham AbuelFutuh

Haytham AbuelFutuh

Software Engineer, Lyft
Haytham Abuelfutuh is a software engineer at Lyft and leads the Flyte backend team. During his tenure at Lyft, Haytham has helped build Flyte from the ground up, built and shipped Kubernetes operators and investigated and optimized Flyte system performance on k8s. Before Lyft, Haytham... Read More →
avatar for Ketan Umare

Ketan Umare

Chief Software Architect, Union.ai
Ketan Umare is the TSC Chair for Flyte (incubating under LF AI & Data). He is also currently the Chief Software Architect at Union.ai. Previously he had multiple Senior Lead roles at Lyft, Oracle and Amazon ranging from Cloud, Distributed storage, Mapping (map making) and machine... Read More →

Wednesday November 20, 2019 5:20pm - 5:55pm PST
Room 14AB - San Diego Convention Center Mezzanine Level
  Machine Learning + Data