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https://issues.apache.org/jira/browse/MESOS-7155?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15880844#comment-15880844
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Rahul Bhardwaj edited comment on MESOS-7155 at 2/23/17 5:04 PM:
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Hi Joseph Wu,
Thanks for your prompt reply. We are using Marathon as a Framework (version
1.3). Let me check if it uses the 'V1 HTTP API' and handles 'Inverse_Offers'.
I will get back here.
Thanks
was (Author: rbhardwaj):
Hi Joseph Wu,
Thanks for your prompt reply. We are using Marathon as a Framework. Let me
check if it uses the 'V1 HTTP API' and handles 'Inverse_Offers'.
I will get back here.
Thanks
> Mesos Maintenance Primitives ("Drain Mode" could not see it working)
> -----------------------------------------------------------------------
>
> Key: MESOS-7155
> URL: https://issues.apache.org/jira/browse/MESOS-7155
> Project: Mesos
> Issue Type: Documentation
> Components: agent, documentation
> Affects Versions: 1.0.0
> Reporter: Rahul Bhardwaj
> Priority: Critical
> Labels: features
>
> Hi,
> We are going by Mesos Maintenance Primitives documentation here
> http://mesos.apache.org/documentation/latest/maintenance/. My requirement is
> "that during a Agent maintenance we want to move all running tasks from this
> agent to other Agents without task failed/stop". This is how you do zero
> downtime maintenance without affecting the running tasks. I see that in the
> documentation "we submit a maintenance schedule" which sends inverse offer
> to Framework to plan tasks according to the agent(s) unavailability. But
> Drain mode is not working here. I mean b/w submissions maintenance-schedule
> and Agent-down, tasks are not moved from the agents going under maintenance
> to other agents. As a result we cannot achieve a 100% full proof maintenance
> process.
> Can you please elaborate on the "framework respond to inverse offer" process
> or "Drain mode" step. This is very critical part in the maintenance. Other
> steps are fine and working for us (de-registering and re-registering agent
> from&to cluster)
> Thanks
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