MapR and Mesosphere Collaborate on New Framework to Eliminate Enterprise Data Silos and Enable Datacenter Operational Efficiency
Mesosphere, creators of the Mesosphere Datacenter Operating System (DCOS) for managing datacenter and cloud resources at scale, and MapR Technologies, Inc., provider of the top-ranked distribution for Apache™ Hadoop®, today announced Myriad, the first resource management framework that allows Apache YARN jobs to run alongside other applications and services in enterprise and cloud datacenters. Based on an open source and collaborative development effort between MapR, Mesosphere and eBay, Myriad (available on GitHub) is an open source project built on the vision of consolidating big data with other workloads in the datacenter into a single pool of resources for greater utilization and operational efficiency. Concurrently, there are plans to submit Myriad as an Apache Incubator project with the Apache Software Foundation in the first quarter of 2015.
To date, Hadoop developers have been forced to run big data jobs on dedicated clusters, leaving those resources isolated from other applications and services in production, and typically resulting in poor server utilization rates. Myriad leverages both Apache YARN and Apache Mesos, allowing big data workloads to run alongside other applications including long-running Web services, streaming applications (like Storm), build systems, continuous integration tools (like Jenkins), HPC jobs (like MPI), Docker containers, as well as custom scripts and applications.
"Big data developers no longer have to choose between YARN and Mesos for managing clusters," said Florian Leibert, CEO and co-founder of Mesosphere. "Myriad allows you to run both, and to run all of your big data workloads and distributed applications and systems on a single pool of resources. Big data developers get the best of YARN's power for Hadoop-driven workloads, and Mesos' ability to run any other kind of workload, including non-Hadoop applications like Web applications and other long-running services."
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