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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 Apache Aurora


Apache Aurora is a powerful Mesos framework for long-running services, cron jobs, and ad hoc jobs. It was originally designed at Twitter and was later open sourced under the Apache license. You can turn your Mesos cluster to a private cloud using Aurora. Unlike Marathon, Aurora is responsible for keeping jobs running across a shared pool of resources over a long duration. If any of the machines in the pool fails, then Aurora can intelligently reschedule those jobs on other healthy machines in the pool.

Aurora is not useful if you try to build an application with specific requirements for scheduling or if the job itself is a scheduler.

Managing long-running applications is one of the key features of Aurora. Apart from this, Aurora can be used to provide coarse-grained (that is, fixed) resources for your job so that at any point of time, the job always has a specified amount of resources. It also supports multiple users, and the configuration is templated with DSL...

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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