Re: [Puppet Users] MCollective deployment pattern

2013-08-21 Thread Tom Poulton
Well I've been using an initial solution for the past month or two which 
seems to be working ok.

I have a custom puppet function that reads the version of the artifact 
being deployed and I add that to the mcollective facts.yaml file at the 
same time that the artifact is deployed. I've also got a groovy script 
which I've put up on GitHub (
https://github.com/TomPoulton/mcollective-synchronous-puppet/blob/master/deployment_trigger.groovy)
 
that runs as part of the Jenkins deployment job that finds the correct 
instances, triggers a puppet run, then waits until all the instances show 
the new version in their facts. It handles the situation where puppet is 
already running, and also has timeouts so the script doesn't run forever.

The only problem is that sometimes (although it's started to get more 
frequent) the script reaches it's timeout waiting for the new version to 
show in the facts, the timeout is pretty generous and is certainly longer 
than a puppet run and an mcollective restart would take, and the facts are 
being updated correctly. Does mcollective have a cache or something that 
would prevent the new values being returned to the mco client on the Jenins 
box?

Thanks

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Re: [Puppet Users] MCollective deployment pattern

2013-05-14 Thread Tom Poulton
I'll have a play around in the next few days when I get a chance and report 
back

I'm thinking a little foreground agent is probably the way to go for now as 
a quick fix, and then I'll work on something cleaner once we start phase 
2 in a couple of months

Thanks for the pointers, much appreciated


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[Puppet Users] MCollective deployment pattern

2013-05-13 Thread Tom Poulton
Hi all

I have a scenario in mind for MCollective and I was looking for 
some feedback

The basic idea is this:
1) A code push to Git triggers a Jenkins build
2) A successful build triggers automatic deployment to an automated 
functional test environment
3) Functional tests run automatically and the results are reported etc

This is just basic CI practice and 1) and 3) are sorted, the only issues 
are with 2) and the trigger for 3). The deployment job in Jenkins just 
copies files up to the Puppet master ready for deployment and service 
restarts etc etc, however with a basic puppet setup one has to wait for the 
clients to run to pickup the new changes and restart services etc and only 
then can Jenkins run the automated tests.

So the plan is for Jenkins to trigger a run on all the required Puppet 
clients via MCollective (filtered by environment), synchronously wait for 
the clients to finish and then run the tests. This has another advantage in 
that we can back off the Puppet run interval (as important changes are 
triggered by MCollective) which gives the Puppet master a bit of breathing 
room, and the clients can just check-in every hour or so to check 
everything is in order.

This also extends to deployments to other environments that have manual 
deployment triggers such as a QA environment. Even though the deployment is 
triggered by the QA team, the upload of the artifacts, running of puppet 
clients and notification of a successful deployment should all be automated.

1): Does this make sense as a pattern, if not what is the best practice for 
implementing this part of the CI and CD pipeline with puppet / jenkins / 
mcollective etc?

2): How would this work in practice. I can run mco puppet runonce which 
is fine, but if I filter by environment mco puppet runonce --environment 
aft I get the Cannot specify any custom puppet options when the daemon is 
running error. I can workaround this by stopping the daemons on every box, 
however this means that the clients no-longer check in periodically. Is 
there a fix for this or would you recommend turning them off anyway when 
using a tool such as MCollective and doing ALL configuration updates via 
MCollective triggers?

3) I need to do some more testing now, but just in case anyone knows off 
the top of their heads, will an MCollective runonce call be synchronous, 
i.e. will the mco call only finish once each client has reported that they 
have finished their runs? If it's not, does anyone know of a good way to 
check for a finished deployment (some command line wizardry with mco puppet 
status / mco puppet summary, etc)?

I have done my research with Google and read a fair amount about 
MCollective from various sources during the investigation and 
implementation, however if this is already documented or I'm missing 
something stupid I apologise in advance

Thanks

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Re: [Puppet Users] MCollective deployment pattern

2013-05-13 Thread R.I.Pienaar


- Original Message -
 From: Tom Poulton poulton...@gmail.com
 To: puppet-users@googlegroups.com
 Sent: Monday, May 13, 2013 3:38:34 PM
 Subject: [Puppet Users] MCollective deployment pattern
 
 Hi all
 
 I have a scenario in mind for MCollective and I was looking for
 some feedback
 
 The basic idea is this:
 1) A code push to Git triggers a Jenkins build
 2) A successful build triggers automatic deployment to an automated
 functional test environment
 3) Functional tests run automatically and the results are reported etc
 
 This is just basic CI practice and 1) and 3) are sorted, the only issues
 are with 2) and the trigger for 3). The deployment job in Jenkins just
 copies files up to the Puppet master ready for deployment and service
 restarts etc etc, however with a basic puppet setup one has to wait for the
 clients to run to pickup the new changes and restart services etc and only
 then can Jenkins run the automated tests.
 
 So the plan is for Jenkins to trigger a run on all the required Puppet
 clients via MCollective (filtered by environment), synchronously wait for
 the clients to finish and then run the tests. This has another advantage in
 that we can back off the Puppet run interval (as important changes are
 triggered by MCollective) which gives the Puppet master a bit of breathing
 room, and the clients can just check-in every hour or so to check
 everything is in order.
 
 This also extends to deployments to other environments that have manual
 deployment triggers such as a QA environment. Even though the deployment is
 triggered by the QA team, the upload of the artifacts, running of puppet
 clients and notification of a successful deployment should all be automated.
 
 1): Does this make sense as a pattern, if not what is the best practice for
 implementing this part of the CI and CD pipeline with puppet / jenkins /
 mcollective etc?
 
 2): How would this work in practice. I can run mco puppet runonce which
 is fine, but if I filter by environment mco puppet runonce --environment
 aft I get the Cannot specify any custom puppet options when the daemon is
 running error. I can workaround this by stopping the daemons on every box,
 however this means that the clients no-longer check in periodically. Is
 there a fix for this or would you recommend turning them off anyway when
 using a tool such as MCollective and doing ALL configuration updates via
 MCollective triggers?

--environment here is not a filter, you're asking it to do a one-off run against
a different puppet environment.  If you want to filter use -W environment=foo


 3) I need to do some more testing now, but just in case anyone knows off
 the top of their heads, will an MCollective runonce call be synchronous,
 i.e. will the mco call only finish once each client has reported that they
 have finished their runs? If it's not, does anyone know of a good way to
 check for a finished deployment (some command line wizardry with mco puppet
 status / mco puppet summary, etc)?

it is not, it triggers a run and returns - puppet runs can take any number
of times and do any number of things including restart mcollective, so this
makes doing a synch run a rather nasty prospect.

We def need some better approach and have plans for that but right now you need
to involve triggering runs and either inspecting them or querying your reporting
infrastructure for status.

I'd have loved to be able to influence the config version - or similar - so that
you can tag a specific puppet run with some identifiable piece of information 
that
you can later correlate against reporting for instance to be able to say all
the nodes run configuration tagged foo, and periodically query the reporting
infra for nodes successfully having run a configuration tagged foo but this is
not posible today


 
 I have done my research with Google and read a fair amount about
 MCollective from various sources during the investigation and
 implementation, however if this is already documented or I'm missing
 something stupid I apologise in advance
 
 Thanks
 
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Re: [Puppet Users] MCollective deployment pattern

2013-05-13 Thread Tom Poulton
Thanks for the quick reply

The -W environment=foo tip is very useful and definitely solves one 
problem. I appreciate that the synchronous part could get pretty nasty, 
rather you than me :) In the meantime have you got any tips on the best 
(most reliable) way to check up on triggered runs, you mentioned inspecting 
them or querying my reporting infrastructure: to be honest I'm 
pretty familiar with puppet in terms of writing modules etc, but I haven't 
really looked into the reporting or querying side of things at all, and 
I'm definitely a newcomer to MCollective, feel free to just dump a load of 
keywords and I can google around if that's easier?

We're running Puppet Open Source but we do have Puppet Dashboard running if 
that offers any querying options against the DB or something?

Thanks

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Re: [Puppet Users] MCollective deployment pattern

2013-05-13 Thread R.I.Pienaar


- Original Message -
 From: Tom Poulton poulton...@gmail.com
 To: puppet-users@googlegroups.com
 Sent: Monday, May 13, 2013 4:06:56 PM
 Subject: Re: [Puppet Users] MCollective deployment pattern
 
 Thanks for the quick reply
 
 The -W environment=foo tip is very useful and definitely solves one

see http://docs.puppetlabs.com/mcollective/reference/basic/basic_cli_usage.html 
for the details on the cli, discovery etc, thats a little primer to get you 
going

 problem. I appreciate that the synchronous part could get pretty nasty,
 rather you than me :) In the meantime have you got any tips on the best
 (most reliable) way to check up on triggered runs, you mentioned inspecting
 them or querying my reporting infrastructure: to be honest I'm
 pretty familiar with puppet in terms of writing modules etc, but I haven't
 really looked into the reporting or querying side of things at all, and
 I'm definitely a newcomer to MCollective, feel free to just dump a load of
 keywords and I can google around if that's easier?
 
 We're running Puppet Open Source but we do have Puppet Dashboard running if
 that offers any querying options against the DB or something?

well lets say your deployment updates some package, or you have a define like

   myapp{acme: ensure = 1.2.3}

and your upgrade is gong to do that, then this is something you can interrogate
via mco to figure out the state of things. but that sux.

if you know you dont manage mcollective and these deploy runs tend to have a
reasonable short run time that doesnt fluctuate hugely, I'd just write a little
agent that runs puppet in the foreground for you to do it synchronously

there's nothing inherently wrong with running puppet synchronously like this
as long as you know you wont be restarting mco or doing stuff that fluctuate
in times heavily.

alternative you can use the config_version feature in puppet and set the current
catalog version to lets say a git tag or svn revision and interrogate the number
via the last_run_summary action on the puppet agent which will show you the 
catalog version of the most recent run

or puppet reports etc, there's an annoying amount of solutions to this problem
and the right one depends on your environment unfortunately

 
 Thanks
 
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