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November 13–15, 2018 - Shanghai, China
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To view the Chinese version of this schedule please go here.
请点击此处查看中文版本。

我们将为所有主题演讲和分组会议提供同声传译服务。
Simultaneous translation will be provided for all keynote and breakout sessions.
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Thursday, November 15 • 12:15 - 12:50
Operating Deep Learning Pipelines Anywhere Using Kubeflow - Jörg Schad & Gilbert Song, Mesosphere

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Kubeflow makes it very easy for data scientist to build their own data science pipeline with Jupyter Notebooks, TensorFlow, TensorBoard and Model serving. In this talk we will walk through building a production grade data science pipeline using Kubeflow and open source data, streaming and CI/CD automation tools.

Audience will learn about need for data preparation (which is frequently performed using Apache Spark or Apache Flink), data storage (using HDFS, Cassandra), automation via CI/CD (using Jenkins) and request streaming (using Apache Kafka).

In this talk we look at building and operate a complete deep learning pipeline around Kubeflow for multiple tenants and topics such as:

* Data Preparation/Cleansing (using Apache Spark)
* Data and Model Storage
* Model Serving
* Distributed Training
* Monitoring
* Automation using CI/CD
* Infrastructure Management across multiple tenants
Speakers
avatar for Jörg Schad

Jörg Schad

CTO, ArangoDB
Jörg Schad is the CTO at ArangoDB. In a previous life, he has worked on or built machine learning pipelines in healthcare, distributed systems, including early Kubernetes code at Mesosphere, and in-memory databases. He received his Ph.D. for research about distributed databases and... Read More →
avatar for Gilbert Song

Gilbert Song

Staff Software Engineer, Mesosphere
Gilbert Song, Apache Mesos PMC/Committer, is a Tech Lead at Mesosphere. He has been contributing to Mesos for years and mainly focuses on Mesos Containerization. He holds a Master’s degree in Computer Engineering from University of California, Santa Barbara. He is passionate about... Read More →

Kubecon KubeFlow++ Summit pdf
Thursday November 15, 2018 12:15 - 12:50 CST
2F Room 1
  Machine Learning & Data