Community hub
Recent from talks
Knowledge base stats:
Talk channels stats:
Members stats:
Apache Mesos
Apache Mesos is an open-source project to manage computer clusters. It was developed at the University of California, Berkeley.
Mesos began as a research project in the UC Berkeley RAD Lab by then PhD students Benjamin Hindman, Andy Konwinski, and Matei Zaharia, as well as professor Ion Stoica. The students started working on the project as part of a course taught by David Culler. It was originally named Nexus but due to a conflict with another university's project, was renamed to Mesos.
Mesos was first presented in 2009 (while still named Nexus) by Andy Konwinski at HotCloud '09 in a talk accompanying the first paper published about the project. In 2011 a more developed version was presented in a talk by Zaharia at the Usenix Symposium on Networked Systems Design and Implementation. Specifically, he presented the paper on Mesos authored by Benjamin Hindman, Andy Konwinski Ali Ghodsi, Anthony D. Joseph, Randy Katz, Scott Shenker, Ion Stoica and Zaharia himself.
On July 27, 2016, the Apache Software Foundation announced version 1. It added the ability to centrally supply Docker, rkt and appc instances.
On April 5, 2021, it was voted to move Mesos to the Apache Attic, however the vote was cancelled two days later due to increased interest.
As of August 2025, this project was retired and placed into the attic October 2025. As such, all development on this project has ceased.
Mesos uses Linux cgroups to provide isolation for CPU, memory, I/O and file system. Mesos is comparable to Google's Borg scheduler, a platform used internally to manage and distribute Google's services.
Apache Aurora is a Mesos framework for both long-running services and cron jobs, originally developed by Twitter starting in 2010 and open sourced in late 2013. It can scale to tens of thousands of servers, and holds many similarities to Borg including its rich domain-specific language (DSL) for configuring services. As of February 2020 the project was retired to the Attic. A fork of the project was maintained by former members, hosted on GitHub under the name Aurora Scheduler.
Hub AI
Apache Mesos AI simulator
(@Apache Mesos_simulator)
Apache Mesos
Apache Mesos is an open-source project to manage computer clusters. It was developed at the University of California, Berkeley.
Mesos began as a research project in the UC Berkeley RAD Lab by then PhD students Benjamin Hindman, Andy Konwinski, and Matei Zaharia, as well as professor Ion Stoica. The students started working on the project as part of a course taught by David Culler. It was originally named Nexus but due to a conflict with another university's project, was renamed to Mesos.
Mesos was first presented in 2009 (while still named Nexus) by Andy Konwinski at HotCloud '09 in a talk accompanying the first paper published about the project. In 2011 a more developed version was presented in a talk by Zaharia at the Usenix Symposium on Networked Systems Design and Implementation. Specifically, he presented the paper on Mesos authored by Benjamin Hindman, Andy Konwinski Ali Ghodsi, Anthony D. Joseph, Randy Katz, Scott Shenker, Ion Stoica and Zaharia himself.
On July 27, 2016, the Apache Software Foundation announced version 1. It added the ability to centrally supply Docker, rkt and appc instances.
On April 5, 2021, it was voted to move Mesos to the Apache Attic, however the vote was cancelled two days later due to increased interest.
As of August 2025, this project was retired and placed into the attic October 2025. As such, all development on this project has ceased.
Mesos uses Linux cgroups to provide isolation for CPU, memory, I/O and file system. Mesos is comparable to Google's Borg scheduler, a platform used internally to manage and distribute Google's services.
Apache Aurora is a Mesos framework for both long-running services and cron jobs, originally developed by Twitter starting in 2010 and open sourced in late 2013. It can scale to tens of thousands of servers, and holds many similarities to Borg including its rich domain-specific language (DSL) for configuring services. As of February 2020 the project was retired to the Attic. A fork of the project was maintained by former members, hosted on GitHub under the name Aurora Scheduler.