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Adam Bordelon
Distributed Systems Engineer, Mesosphere


Adam is a distributed systems engineer at Mesosphere and works on Apache Mesos.
Before joining Mesosphere, Adam was lead developer on the Hadoop core team at MapR Technologies, he developed distributed systems for personalized recommendations at Amazon, and he rearchitected the LabVIEW compiler at National Instruments. He completed his Master’s degree at Rice University, building a tool to analyze supercomputer performance data for bottlenecks and anomalies.


Cloud | Tools & Techniques
Tutorial Please note: to attend, your registration must include Tutorials.
Connor Doyle (, Niklas Nielsen (Mesosphere, Inc.), Adam Bordelon (Mesosphere)
Average rating: ***..
(3.38, 8 ratings)
The shift to the cloud is old news. Unfortunately, the pain of developing distributed architectures is not. Apache Mesos handles the hard parts of building distributed systems and lets developers focus on what makes their application special. In this workshop, we will illustrate how to write applications on Mesos by walking through the implementation of an example framework. Read more.
Office Hours
Expo Hall (Table D)
Niklas Nielsen (Mesosphere, Inc.), Connor Doyle (, Adam Bordelon (Mesosphere)
Niklas, Connor, and Adam are ready to talk to you about the Apache Mesos ecosystem for combining your datacenter servers and cloud instances into one shared pool. Find out how to take control of the datacenter with multi-tenancy and fault-tolerance, how to deploy and manage distributed applications in many languages, and how to migrate existing applications to Mesos using Marathon and Chronos. Read more.
Adam Bordelon (Mesosphere), Niklas Nielsen (Mesosphere, Inc.)
Average rating: *****
(5.00, 1 rating)
Apache Mesos is a cluster manager that provides efficient resource isolation and sharing across distributed applications. Mesos is not only a resource scheduler but also a library for rapidly developing scalable and fault-tolerant distributed systems. This talk will take the audience through the key aspects contributing to the growing adoption of Mesos in companies with large-scale data centers. Read more.