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You're reading from  Mastering Mesos

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Published inMay 2016
PublisherPackt
ISBN-139781785886249
Edition1st Edition
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Authors (2):
Dipa Dubhashi
Dipa Dubhashi
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Dipa Dubhashi

Dipa Dubhashi is an alumnus of the prestigious Indian Institute of Technology and heads product management at Sigmoid. His prior experience includes consulting with ZS Associates besides founding his own start-up. Dipa specializes in envisioning enterprise big data products, developing their roadmaps, and managing their development to solve customer use cases across multiple industries. He advises several leading start-ups as well as Fortune 500 companies about architecting and implementing their next-generation big data solutions. Dipa has also developed a course on Apache Spark for a leading online education portal and is a regular speaker at big data meetups and conferences.
Read more about Dipa Dubhashi

Akhil Das
Akhil Das
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Akhil Das

Akhil Das is a senior software developer at Sigmoid primarily focusing on distributed computing, real-time analytics, performance optimization, and application scaling problems using a wide variety of technologies such as Apache Spark and Mesos, among others. He contributes actively to the Apache Spark project and is a regular speaker at big data conferences and meetups, MesosCon 2015 being the most recent one.
Read more about Akhil Das

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Introduction to Mesos frameworks


A Mesos framework sits between Mesos and the application and acts as a layer for managing task scheduling and execution. As its implementation is application-specific, the term is often used to refer to the application itself. Earlier, a Mesos framework could interact with the Mesos API using only the libmesos C++ library, due to which other language bindings were developed for Java, Scala, Python, and Go among others, which leveraged libmesos heavily. Since v0.19.0, changes made to the HTTP-based protocol enabled developers to develop frameworks using the language they wanted without having to rely on the C++ code. A framework consists of two components:

  • A scheduler

  • An executor

The scheduler is responsible for taking decisions on the resource offers made to it and tracking the current state of the cluster. Communication with the Mesos master is handled by the SchedulerDriver module, which registers the framework with the master, launches tasks, and passes messages...

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Mastering Mesos
Published in: May 2016Publisher: PacktISBN-13: 9781785886249

Authors (2)

author image
Dipa Dubhashi

Dipa Dubhashi is an alumnus of the prestigious Indian Institute of Technology and heads product management at Sigmoid. His prior experience includes consulting with ZS Associates besides founding his own start-up. Dipa specializes in envisioning enterprise big data products, developing their roadmaps, and managing their development to solve customer use cases across multiple industries. He advises several leading start-ups as well as Fortune 500 companies about architecting and implementing their next-generation big data solutions. Dipa has also developed a course on Apache Spark for a leading online education portal and is a regular speaker at big data meetups and conferences.
Read more about Dipa Dubhashi

author image
Akhil Das

Akhil Das is a senior software developer at Sigmoid primarily focusing on distributed computing, real-time analytics, performance optimization, and application scaling problems using a wide variety of technologies such as Apache Spark and Mesos, among others. He contributes actively to the Apache Spark project and is a regular speaker at big data conferences and meetups, MesosCon 2015 being the most recent one.
Read more about Akhil Das