Uber Seattle Engineering

Videos

• 

  1 — [Uber Seattle] Introduction to Kappa+ Architecture using Apache Flink
• 

  2 — [Uber Seattle] Horovod: Distributed Deep Learning on Spark
• 

  3 — [Uber Seattle] Long-Term Rider Behavior Modeling using Pyro
• 

  4 — [Uber Seattle] Michelangelo (MA) Learners and Transformers
• 

  5 — [Uber Open Source] LogX: Creating Log Observability in Hadoop Workloads at Uber -- Nan Zhu
• 

  6 — Uber Seattle Engineering: Meet Driver Engineering
• 

  7 — [Uber Seattle] Uber Bus Marketplace Tech Deep Dive
• 

  8 — [Uber Seattle] Building Reliable Microservices @ Uber: An Introduction -- Prabhu Krishnamoorthy
• 

  9 — [Uber Open Source] Distributing Uber's ML Platform with an Operator Framework -- Mingshi Wang
• 

  10 — [Uber Open Source] How Uber Uses OS Big Data Technologies: Welcome & Introduction
• 

  11 — [Uber Seattle] Building Reliable Microservices @ Uber -- Siva Kalva
• 

  12 — [Uber Seattle] Chaos Engineering @ Uber -- Dianne Laguerta
• 

  13 — [Uber Seattle] Uber Bus Market and Product Overview
• 

  14 — [Uber Open Source] Profile Spark Applications at Scale -- Bo Yang
• 

  15 — [Uber Seattle] When Apache Pulsar Meets Apache Flink