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From Bruno Mahé (JIRA) <j...@apache.org>
Subject [jira] [Commented] (BIGTOP-710) Create a higher level orchestration deployment framework
Date Fri, 21 Sep 2012 05:07:09 GMT

    [ https://issues.apache.org/jira/browse/BIGTOP-710?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13460214#comment-13460214
] 

Bruno Mahé commented on BIGTOP-710:
-----------------------------------

Has anyone taken a look at mcollective? I haven't had time to try yet but from its front page
http://puppetlabs.com/mcollective/introduction/ it seems to do exactly the intent of this
ticket:
{quote}
The Marionette Collective AKA MCollective is a framework to build server orchestration or
parallel job execution systems.
{quote}
It seems also to not be always tied to puppet:
{quote}
Break free from ever more complex naming conventions for hostnames as a means of identity.
Use a very rich set of meta data provided by each machine to address them. Meta data comes
from Puppet, Chef, Facter, Ohai or plugins you provide yourself.
{quote}
                
> Create a higher level orchestration deployment framework
> --------------------------------------------------------
>
>                 Key: BIGTOP-710
>                 URL: https://issues.apache.org/jira/browse/BIGTOP-710
>             Project: Bigtop
>          Issue Type: Improvement
>          Components: Deployment
>    Affects Versions: 0.4.0
>            Reporter: Roman Shaposhnik
>            Assignee: Roman Shaposhnik
>             Fix For: 0.5.0
>
>
> It would be very nice to start using our puppet code as a basis for a higher level orchestration
framework capable of driving a true distributed multi-node deployment of Bigtop components.
Puppet code is great at stamping out a predictable single node deployments, but we have to
extend it with a DSL aimed at solving higher level orchestration.
> This JIRA is meant to be a central information radiator for collecting ideas on how to
approach this (what DSL to use, how to structure communication between agents and fact sharing,
etc).

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