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In the battle for datacenter resource management, there are two heavyweights duking it out for the world championship.
In the red corner is YARN, a big data contender and the successor to MapReduce 1.
In the blue corner is MESOS with it’s UC Berkeley pedigree and it’s proven performance at Twitter, Airbnb and Netflix.
This is a battle that Don King would be ecstatic to promote. But maybe we could build a more powerful fighter by combining the best of both. What if you didn’t have to choose? What if you could use both MESOS and YARN in concert, each for what it is especially good at, rather than choosing? In this talk we will cover:
- The differences between YARN and Mesos
- How typical datacenters deploy both of these technologies in isolation
- Why they are seen as competitors
- How they can, instead, be used together
- A demonstration of YARN and MESOS collaboratively sharing cluster resources
- Case studies of actual production implementations
KEYWORDS: Apache Myriad, Mesos, YARN, Use Cases, System Architecture
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North America. Please refer to theMapR Talks Directory for specific countries.
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