Many initiatives for running applications inside containers have been scoped to run on a single host. Using Docker containers for large-scale production environments poses interesting challenges, especially when deploying distributed big data applications like Apache Hadoop and Apache Spark.
Some of these challenges include container life-cycle management, smart scheduling for optimal resource utilization, network configuration and security, and performance. BlueData is "all in” on Docker containers—with a specific focus on big data applications. BlueData has learned firsthand how to address these challenges for Fortune 500 enterprises and government organizations that want to deploy big data workloads using Docker.
BlueData’s Thomas Phelan demonstrates how to securely network Docker containers across multiple hosts and discusses ways to achieve high availability across distributed big data applications and hosts in your data center. Since we’re talking about very large volumes of data, performance is a key factor, so Thomas shares some of the storage options implemented at BlueData to achieve near bare-metal I/O performance for Hadoop and Spark using Docker as well as lessons learned and some tips and tricks on how to Dockerize your big data applications in a reliable, scalable, and high-performance environment.
Thomas Phelan is cofounder and chief architect of BlueData. Previously, Tom was an early employee at VMware; as senior staff engineer, he was a key member of the ESX storage architecture team. During his 10-year stint at VMware, he designed and developed the ESX storage I/O load-balancing subsystem and modular pluggable storage architecture. He went on to lead teams working on many key storage initiatives, such as the cloud storage gateway and vFlash. Earlier, Tom was a member of the original team at Silicon Graphics that designed and implemented XFS, the first commercially available 64-bit filesystem.
©2016, O'Reilly Media, Inc. • (800) 889-8969 or (707) 827-7019 • Monday-Friday 7:30am-5pm PT • All trademarks and registered trademarks appearing on oreilly.com are the property of their respective owners. • firstname.lastname@example.org
Apache Hadoop, Hadoop, Apache Spark, Spark, and Apache are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries, and are used with permission. The Apache Software Foundation has no affiliation with and does not endorse, or review the materials provided at this event, which is managed by O'Reilly Media and/or Cloudera.