Building and deploying elastic distributed data centric systems that can fail, without losing data and without sacrificing elasticity, has been traditionally challenging. With Apache Mesos, an open source project that is the kernel for your data center, we can now create fully elastic end to end compute environments. With Mesos, distributed data persistent services can run durably and elastically. Kafka, HDFS, Cassandra, MySQL and more data centric systems run on Mesos.

We will talk through what Mesos is all about and how to manage these data services on Mesos. Not only will you be able to reason about how to scale and run these data services in the face of failure - we will also go through new use cases for how to replace more classic solutions (like cold storage) with new exciting functionality using these technologies.