Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA
Jinchul Kim

Jinchul Kim
Senior Software Engineer, SK Telecom

Website

Jinchul Kim is a senior software engineer at SK Telecom, where he leads cloud platform development using Kubernetes, Docker, Apache Druid, and Apache Hadoop and designed and implemented a Dockerized DevOps framework. Previously, he was a senior software engineer at SAP Labs working on the SAP HANA in-memory engine. Jinchul is a committer to the Apache Impala project.

Sessions

4:40pm–5:20pm Thursday, March 28, 2019
Apache Druid autoscale-out/in for streaming data ingestion on Kubernetes
Data Engineering & Architecture, Streaming and IoT
 Location: 2006
Secondary topics:  AI and Data technologies in the cloud
Jinchul Kim (SK Telecom)
Average rating: **...
(2.17, 6 ratings)
Druid supports autoscaling for data ingestion, but it's only available on AWS EC2. You can't rely on the feature on your private cloud. Jinchul Kim demonstrates autoscale-out/in on Kubernetes, details the benefit on this approach, and discusses the development of Druid Helm charts, rolling updates, and custom metric usage for horizontal autoscaling. Read more.