Mesos

product on 2 shows · 4 statements across 4 episodes

the MAD Podcast the a16z Podcast

4 statements about Mesos, every show

a16z Disclosure
Stoica: Apache Spark was created to prove Mesos's value
“So actually, Mesos was the first project we developed. This is what started the stack. And Mesos was by design to support multiple cluster computing framework. We started with Hadoop. And actually, one of the reasons we designed Spark, it's To show that it's m…”
Ion Stoica Jan 2, 2019 ▶ 4:03 a16z Podcast | A New Lab Rises
a16z Assertion Not checkable as stated
Hindman: Server virtualization carries a 30% performance overhead
“You don't have to start paying that 30% virtualization overhead for running your applications, which can start to save a lot of money.”
Benjamin Heinemann Jan 2, 2019 ▶ 25:02 a16z Podcast | Why the Datacenter Needs an Operating System
MAD Assertion Not checkable as stated
YARN and Mesos enable modern on-cluster business intelligence
“On cluster BI is something that's possible now. Thanks to things like Yarn, Mesos, we're seeing a whole new resurgence of operating systems.”
Shant Hovsepian Dec 17, 2015 ▶ 6:53 10 Commandments for BI in Big Data, Shant Hovsepian, Arcadia Data (Data Driven NYC / FirstMark)
MAD Assertion Supported
Stoica: Apache Spark originally ran on Mesos before adding YARN and standalone support
“As originally was built to run on top of Mesos. Today is working on Yarn, working, you know, standalone, and is working also in addition to HDFS, you know, imports and exports data to many other data sources.”
Ion Stoica Apr 2, 2015 ▶ 7:07 Ion Stoica, Databricks // Creating Apache Spark // Data Driven NYC (FirstMark Capital)

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