The real innovation today in enterprise applications is around the next generation of distributed systems – open source frameworks like Apache Spark (big data processing), Apache Cassandra (high availability for data), HDFS (storage), Kafka (messaging), Google Kubernetes and Docker Swarm (container orchestration), and many more. However, most enterprises must rethink their operations approach to run these types of frameworks at scale, in production.
In this workshop, experts from Mesosphere will demonstrate how to operate today’s most popular distributed frameworks on Apache Mesos – from installation, through command line interface, monitoring, and everything in between, in real production scenarios across clustered resources.
Apache Mesos is a distributed systems kernel that allows enterprises to run their datacenters like a single pool of resources. Mesos is built using the same principles as the Linux kernel, only at a different level of abstraction. The Mesos kernel runs on every machine and provides applications (e.g., Hadoop, Spark, Kafka, Elastic Search) with APIs for resource management and scheduling across entire datacenter and cloud environments.
Connor Doyle is a software engineer focused on building tools for developers based on Apache Mesos. At Mesosphere, Connor has contributed significant portions of Marathon, the open source container orchestration tool. When he’s not joyfully hacking on open source projects, Connor enjoys biking, playing ultimate frisbee, and taste-testing microbrews.
Niklas Nielsen is an engineer at Mesosphere working at Apache Mesos. Prior to Mesosphere, he worked at Adobe on the Flash VM and Google V8, as well as on a secret next-generation VM. He did his master’s at Lawrence Livermore National Lab, working on debugging tools for future exascale systems.
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