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Tuesday, April 8 • 10:30am - 11:20am
Mesos: Elastically Scalable Operations, Simplified.

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Apache Mesos is a cluster manager that provides efficient resource isolation and sharing across distributed applications. It can run and manage Apache Hadoop, Apache Spark, MPI, Hypertable, Storm, Chronos, Marathon, and other applications on a dynamically shared pool of nodes. Mesos provides distributed systems primitives that make it easy to build scalable, fault-tolerant frameworks.
The biggest user of Mesos is currently Twitter, where it runs on tens of thousands of cores. Airbnb runs all of their data infrastructure on it, processing petabytes of data. At such large scale, it becomes increasingly important to provide developers with direct access to cluster resources, for scaling and introducing new services. In this way, Mesos speeds development and makes life easier for the data center operator.


Adam Bordelon

Mesosphere, Distributed System Engineer
Adam Bordelon is a distributed systems architect at Mesosphere and an Apache Mesos committer. Before joining Mesosphere, Adam lead development on Hadoop core at MapR, built distributed systems for recommendations at Amazon, and re-architected the LabVIEW compiler at National Instruments... Read More →

Niklas Nielsen

Distributed Systems Lead Architect, Intel
Niklas has been involved in development and design around and within Apache Mesos since 2013 and a member of the Apache Mesos Program Management Committee. He recently joined Intel’s Software Defined Infrastructure team and is working on scheduler enabling technologies utilizing... Read More →

Tuesday April 8, 2014 10:30am - 11:20am PDT
Confluence A

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