Hi Stephan,
Since i recently started with aurora i understand the need for examples.
The best examles i found were at:
http://aurora.apache.org/documentation/latest/configuration-reference/
And i found a no longer working example at:
http://www.livewyer.com/blog/2015/04/13/deploying-docker-containers-using-apache-aurora
I have seen some discussions in some documents/chats/other places about
how to make Aurora more friendly for new users, i think that the
Marathon community is doing an excellent job by providing json files for
Docker deployments.
To help a bit more i provide you with a nimbus deployment i made 2 days
ago for the Storm Mesos framework, all you need to do is package the
Storm deployment with the right configurations and provide the tgz on a
central location such as a webserver or hdfs to be able to fetch it
|nimbus = Process( name = 'nimbus', cmdline = "cd ./storm-mesos-0.9.3 &&
./bin/storm-mesos nimbus") nimbus_ui = Process( name = 'nimbus_ui',
cmdline = "sleep 240 && cd ./storm-mesos-0.9.3 && ./bin/storm ui")
fetch_storm = Process( name = 'fetch_storm', cmdline = "wget
http://yourhttpserver/storm-mesos-0.9.3.tgz && tar zxf
./storm-mesos-0.9.3.tgz && chmod +x ./storm-mesos-0.9.3/bin/storm-mesos
&& chmod +x ./storm-mesos-0.9.3/bin/storm") task_nimbus =
SequentialTask( processes = [fetch_storm, nimbus], resources =
Resources(cpu = 4.0, ram = 8192*MB, disk = 10240*MB)) task_nimbus_ui =
Task( processes = [nimbus_ui], resources = Resources(cpu = 2.0, ram =
2048*MB, disk = 10240*MB)) combined_nimbus = Tasks.combine(task_nimbus,
task_nimbus_ui) jobs = [Service( task = combined_nimbus, cluster =
'Meep', role = 'infra', environment = 'test', name = 'nimbus', contact =
'[email protected]', instances = 1)]|
Please understand i am also new to this and its probably not the correct
way or best way (especially the sleep), but maybe it helps to get the
discussion or advices from others.
Rogier
On 10/16/15 9:49 AM, Erb, Stephan wrote:
I have just came across this one here:
https://issues.apache.org/jira/browse/AURORA-215
I guess that is what I am looking for :-)
________________________________________
From: Erb, Stephan <[email protected]>
Sent: Friday, October 16, 2015 8:48 AM
To: [email protected]
Subject: Continuous Deployment with Aurora
Hi Aurora users,
I am interested in how you use the Aurora client or the Aurora API in you daily
business of releasing and deploying code:
The Aurora client is rather generic. So, what have you build around it to
enable concepts like continuous deployment, canary releases, etc? I'd imagine
that most of you have somehow scripted the process of a user performing a git
commit to actually running this code in production.
We are basically looking for some inspiration on what works great with Aurora
and what doesn't.
A little background: We have used Aurora to replace the backend of an existing
inhouse PaaS without changing the external PaaS API. This has been working
great for us. However, we also see that Aurora offers some interesting features
that we would like to use. We could either continue to invest into our own API
wrapper to support those features, or we could try to move into a similar
direction as the rest of the community [1]. The latter approach sounds somewhat
more sane.
[1] for example, as seen in https://github.com/wickman/sacker
Thanks for your input. Much appreciated.
Stephan
PS: Was great to meet some of you in Dublin at MesosCon Europe!
--
Rogier Dikkes
Systeem Programmeur Hadoop & HPC Cloud
e-mail: [email protected] | M: +31 6 47 48 93 28
SURFsara | Science Park 140 | 1098 XG Amsterdam
