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marathon
Scala2013–2021
d2iq-archive / marathon · Archived

marathon

Deploy and manage containers (including Docker) on top of Apache Mesos at scale.

9Distinct people
10Mentions
0Explicit recommenders
4KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Deploy and manage containers (including Docker) on top of Apache Mesos at scale.

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year10 dated mentions

Observed mentions: 2013-09-04 22:44:37 UTC to 2021-04-06 19:23:36 UTC.

012342013-01-01 00:00:00 UTC to 2014-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20132014-01-01 00:00:00 UTC to 2015-01-01 00:00:00 UTC (exclusive): 4 mentions; 0 submissions, 4 comments2015-01-01 00:00:00 UTC to 2016-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments20172018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2021

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20132013-01-01 00:00:00 UTC2014-01-01 00:00:00 UTC101
20142014-01-01 00:00:00 UTC2015-01-01 00:00:00 UTC404
20152015-01-01 00:00:00 UTC2016-01-01 00:00:00 UTC101
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC202
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC110
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC000
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC000
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC000
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC101

What Hacker News says

10 sources
Co-founder of Mesosphere/D2iQ here. Mesos started as a research project at Berkeley in 2009 and was originally focused on cluster computing frameworks like Hadoop. From the paper: "We present Mesos, a platform for sharing commodity clusters between multiple diverse cluster computing frameworks, such as Hadoop and MPI." It actually predates YARN by a few years. But, it very quickly (in 2010) saw production use at Twitter as the foundation for Twitter's custom PaaS which was later open sourced as Apache Aurora. Marathon's main use case was actually for running microservice application in containers, which is why it has some advanced features around managing groups of containerized apps and their dependencies. The "meta-framework" use case for launching custom frameworks was also important but basically just needs Marathon to keep a containe
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r alive. Mesosphere never made Marathon proprietary. The full code is still OSS here: https://github.com/mesosphere/marathon/ Our commercial product DC/OS just added advanced workflows through a UI on top, and better integration with the rest of the components around Mesos.
In Apache Mesos to be moved to Attic
Have anybody works with Mesos? How does it compare to Yarn, particularly in a production perspective? Is it stable, easy to integrate? We are currently thinking to switch from a Kafka-Spark(on Yarn)-Mongo stack to a SMACK stack (Spark, Mesos, Akka, Cassandra, Kafka)[1]. It seems that there is a good integration between theses projects. Also you can run Docker on Mesos using Marathon[2] so not only our data-driven stack could be on Mesos but the full stack. [1] https://mesosphere.com/blog/2015/07/24/learn-everything-you-... [2] https://github.com/mesosphere/marathon
In Apache Mesos 0.27.0 Released
Our UI for Marathon[1], a framework on top of Apache Mesos, is written in React and uses Backbone models. It uses Require JS for modules and compiling the source into a single file for distribution. The JS root is in the assets directory[2]. There are a few guidelines we have adopted through trial and error so far: * Use React.addons.classSet[3] liberally. Class name generation becomes simpler for future developers to read. * Define propTypes[4] for every component. Debugging becomes easier because React gives you informative warnings about mismatched propTypes. [1] https://github.com/mesosphere/marathon [2] https://github.com/mesosphere/marathon/tree/master/src/main/... [3] https://facebook.github.io/react/docs/class-name-manipulatio... [4] https://facebook.github.io/react/docs/reusable-components.ht...
In React v0.11
Mesos is exceptionally good at managing long-running service and that use case represents about 50% of the workloads I've seen on large production clusters. "Scheduling" long-running services is straightforward, as they typically only need to be run "once." It's trivial to use something like Marathon [0] to do that, and you then immediately benefit from Mesos' fault-tolerance and self-healing. Marathon also makes it easy to elastically scale the long-running processes (e.g., start more Rails servers when traffic increases). [0] - https://github.com/mesosphere/marathon
In Flynn: first preview release
Yes. I get that. Except Marathon can do 'cron-like' things too. So can Mason. Mason manages cluster applications. So does Marathon. Mason can juggle task resources. So does Marathon. Mason is a framework. So is Marathon. Mason has a scheduler. So does Marathon. The only thing Chronos does, at all, is run jobs on a schedule, distributedly. Which Marathon and Mason can do too. So can someone please explain to me why you need all three?? -- Look, here, at the infographics in the middle of the page: https://github.com/mesosphere/marathon What they're saying is, Marathon will move your jobs to a new server when one dies. Okay, cool. But Chronos can do that too. And Mesos can do that too! -- I'm pretty sure all these tools are a giant troll by Google to get its competitors to burn R&D time on reinventing tools that already exist and aren't nece
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ssary.
In New open source tech Marathon wants to make your data center run like Google’s

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