Project Myriad – Overview

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http://bit.ly/199GxWD – Project Myriad is the first resource management framework that allows Apache YARN jobs to run alongside other applications and services in enterprise and cloud datacenters.

Technologie

®
© 2015 MapR Technologies 3
Why Myriad
•  Data Center Resource Optimization
•  Run many types of compute frameworks side-by-side
–  Hadoop family (YARN, Spark, Kafka, Storm, etc.)
–  Web-server farm
–  MPP databases (e.g. Vertica), custom jobs, etc.
•  Each compute framework is a cluster in itself
•  Need to break up a physical cluster into many virtual clusters
–  Using containers for good isolation
–  But most schedulers can only manage individual nodes inside a cluster
•  Move resources between virtual clusters on-demand

®
© 2015 MapR Technologies 4
Myriad Project Announcement
•  MapR + Mesosphere are formally announcing the Myriad project
•  Wider Community support from eBay and others
•  Myriad will be incubated under the Apache Software Foundation
in Q1 2015
•  Short-term project goals: Full life cycle management of YARN jobs
•  Long-term goals: Security, Cloud, GUI, Logging, etc.
•  Available on GitHub
Details

®
© 2015 MapR Technologies 5
Utilize Excess Capacity for Analytics
DC Server Farm Hadoop Analytics
Utilizatiion
Long-lived excess
capacity situations
•  “Scale up” Hadoop during long periods of low utilization
•  “Scale down” Hadoop ahead of anticipated high utilization

®
© 2015 MapR Technologies 6
How Myriad Works
ü  Efficient resource utilization across the board
ü  YARN jobs run alongside other jobs

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Project Myriad – Overview

2. ® © 2015 MapR Technologies 2 What is Myriad •  Allows Apache Mesos and Apache YARN to co-operate/integrate with each other •  Mesos: datacenter-wide resource manager –  Containers used for isolation •  Hadoop is launched inside these containers –  Provided by Mesos •  Myriad manages conversation between Mesos and YARN Resource Manager and Node Manager

3. ® © 2015 MapR Technologies 3 Why Myriad •  Data Center Resource Optimization •  Run many types of compute frameworks side-by-side –  Hadoop family (YARN, Spark, Kafka, Storm, etc.) –  Web-server farm –  MPP databases (e.g. Vertica), custom jobs, etc. •  Each compute framework is a cluster in itself •  Need to break up a physical cluster into many virtual clusters –  Using containers for good isolation –  But most schedulers can only manage individual nodes inside a cluster •  Move resources between virtual clusters on-demand

4. ® © 2015 MapR Technologies 4 Myriad Project Announcement •  MapR + Mesosphere are formally announcing the Myriad project •  Wider Community support from eBay and others •  Myriad will be incubated under the Apache Software Foundation in Q1 2015 •  Short-term project goals: Full life cycle management of YARN jobs •  Long-term goals: Security, Cloud, GUI, Logging, etc. •  Available on GitHub Details

5. ® © 2015 MapR Technologies 5 Utilize Excess Capacity for Analytics DC Server Farm Hadoop Analytics Utilizatiion Long-lived excess capacity situations •  “Scale up” Hadoop during long periods of low utilization •  “Scale down” Hadoop ahead of anticipated high utilization

Project Myriad – Overview

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