Come learn about Apache Spark’s Kubernetes scheduler backend, new in Spark 2.3! Meet project contributors and network with community members interested in running Spark on Kubernetes. Learn about upcoming Spark features for Kubernetes support, and find out how to contribute to the project. Discover new tools in the Spark on Kubernetes ecosystem, and trade tips on how to run Spark jobs on your Kubernetes cluster.
Erik Erlandson is a Software Engineer at Red Hat, where he investigates analytics use cases and scalable deployments for Apache Spark in the cloud. He also consults on internal data science and analytics projects. Erik is a contributor to Apache Spark and other open source projects in the Spark ecosystem, including the Spark on Kubernetes community project, Algebird and Scala.
Felix started in the big data space about 5 years ago with the then state-of-the-art MapReduce. Since then, he (re-)built Hadoop cluster from metal more times than he would like, created a Hadoop "distro" from two dozens or so projects into .rpm/.deb, and kicked off clusters in the cloud with hundreds of cores on-demand. He built a few interesting app with Apache Spark for 3.5 years and ended up contributing to it for more than 3 years, and became a Committer & PMC along the way. In addition to building stuff, he frequently presented in conferences, meetups, or workshops.