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Jeffrey Miller
Sr. Systems Administrator
The University of Iowa: ITS – EI – SST – IT
Email: Jeff-L-Miller@uiowa.edu
Freenode: millerjl1701
StartedVAX mainframes, Sun SPARC systems in
college
Chemistry/Physics teacher…WGS Pro Linux
In 2001, sys admin for the UI Department of
Chemistry doing various things
Now, a infrastructure admin for the UI campus IT
group doing cross-platform stuff
Puppet infrastructure
Red Hat Satellite / Spacewalk
SC: OM,VMM
22+Years in the MN ARNG going various places
Yes, without a doubt absolutely… maybe
No infrastructure required other than content
distribution… which you probably already
have..
puppet apply….
All nodes have access to the modules and
manifests for your environment
Multiple zones? Multiple data centers?
Configuration churn?
Test Driven Development administration…
All machines have access to the entire
environment… perhaps your security office
has some concerns?
Reporting is limited
No exported resources
Exported resources allow nodes to share
information with each other
Infrastructure as code
Can’t I just get by with a single puppet
master?
Yes, without a doubt absolutely… maybe…
http://docs.puppetlabs.com/learning/agent_master_basic.html
https://docs.puppetlabs.com/puppet/
Seriously, the docs are great!
Pro Puppet. 2013. Krum, van Hevelingen,
Kero,Turnbull, and McCune
This is the holy grail of running puppet open
source….
maybe…
Should the servers be physical or virtual?
If you have an virtualization infrastructure
already, use it…
If you don’t have one, build it and then use
it… perhaps puppet can help you with that…
Leverage redundancy and resilience of the
VMware infrastructure
Ability to scale as needed quickly as more
systems are deployed with puppet
Flexibility in providing puppet infrastructure
to non-central units
Flexibility to test and roll through upgrades as
they come out from PuppetLabs
Java application (ok… it’s clojure inside a JVM…
just ask Deepak) that data generated by Puppet
with a postgresql database backend
Stores the most recent set of facts, most recent
catalog and by default 14 days of reports
Provides a very robust API for access to
information
Great for exported resources! (don’t even think
about using storeconfigs)
Really? Hmmmm….
https://docs.puppetlabs.com/guides/scaling_
multiple_masters.html
To scale beyond a certain size
Geographic distribution / disaster recovery
Administrative boundaries (politics)
There isn’t a golden “though shall must
always have more than one at this level”
Number of resources declared in manifests
and infrastructure?
Exported resources?
Number of nodes?
Time to compile catalog?
Time between runs?
How are other administrative groups using
puppet?
After adding hosts via pdsh After random distribution reestablishes
Methods for getting the manifests modules out
to the puppet masters
Software distribution (RPM, Jenkins testing, etc.)
Puppetfile management with R10K, puppet- librarian,
puppet-librarian-simple
Puppet librarian
Run your own forge! (Pulp)
git pull via cron jobs…
NFS share…
Puppet 3.6 with the new path is a potential issue
for migration in this module…
LB: 1 core, 2 GB ram
PM-CA: 1 core, 2 GB ram
PM: 4 cores, 4 GB ram
PuppetDB: installed on
each puppet master
PostgreSQL: 2 cores, 8
GB Ram
(VMware Hosts are
ProLiant DL385 G7s w/
AMD 6176 2.3 GHz procs)
http://www.reddit.com/r/linux/comments/18weoo/i_manage_a_1600_node_puppet_configuration_ama/
theForeman and Dashboard use the same
postgresql DB backend (2 cores, 8 GB Ram)
theForeman web frontend: 2 cores, 4 GB Ram
Dashboard frontend: 2 cores, 8 GB Ram (have
puppet master and puppetdb installed on
same server for reporting access)
YMMV on any of these specs
LB (mod_proxy) splits
traffic to appropriate PM
Puppet Master (PM) can
serve out a single or
multiple environments via
apache/mod_passenger
The CA CRL is distributed
to the LB and PMs
All reports are forwarded
to foreman and dashboard
Shared file bucket across
all puppet masters via NFS
Leverage redundancy
and resilience of the
VMware infrastructure
Can quickly scale as
needed for systems or
environments
Security and partitioning
of environments
Safely test and roll
through server upgrades
Fast resource additions
to reduce chokepoints
A single load balancer
in front (hardware or
software)
A single server running
PuppetDB
A single server running
postgresql
Reporting?
Nope…
Statically assign masters to the clients in the
puppet.conf file
Use Round-Robin DNS
DNS SRV Records
Running puppet as a service for multiple
groups with different administrative
boundaries
Everything is just peachy for getting
manifests out and reports separated with
RBAC! except…
PuppetDB: All for one and one for all… full
access to any facts, catalogs, and reports in
the database… no RBAC
Questions?
Comments?
Divine revelations?

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Puppet Camp Chicago 2014: Running Multiple Puppet Masters (Beginner)

  • 1. Jeffrey Miller Sr. Systems Administrator The University of Iowa: ITS – EI – SST – IT Email: Jeff-L-Miller@uiowa.edu Freenode: millerjl1701
  • 2. StartedVAX mainframes, Sun SPARC systems in college Chemistry/Physics teacher…WGS Pro Linux In 2001, sys admin for the UI Department of Chemistry doing various things Now, a infrastructure admin for the UI campus IT group doing cross-platform stuff Puppet infrastructure Red Hat Satellite / Spacewalk SC: OM,VMM 22+Years in the MN ARNG going various places
  • 3. Yes, without a doubt absolutely… maybe
  • 4. No infrastructure required other than content distribution… which you probably already have.. puppet apply…. All nodes have access to the modules and manifests for your environment Multiple zones? Multiple data centers? Configuration churn? Test Driven Development administration…
  • 5. All machines have access to the entire environment… perhaps your security office has some concerns? Reporting is limited No exported resources Exported resources allow nodes to share information with each other Infrastructure as code
  • 6. Can’t I just get by with a single puppet master? Yes, without a doubt absolutely… maybe…
  • 8. https://docs.puppetlabs.com/puppet/ Seriously, the docs are great! Pro Puppet. 2013. Krum, van Hevelingen, Kero,Turnbull, and McCune
  • 9. This is the holy grail of running puppet open source…. maybe…
  • 10. Should the servers be physical or virtual? If you have an virtualization infrastructure already, use it… If you don’t have one, build it and then use it… perhaps puppet can help you with that…
  • 11. Leverage redundancy and resilience of the VMware infrastructure Ability to scale as needed quickly as more systems are deployed with puppet Flexibility in providing puppet infrastructure to non-central units Flexibility to test and roll through upgrades as they come out from PuppetLabs
  • 12. Java application (ok… it’s clojure inside a JVM… just ask Deepak) that data generated by Puppet with a postgresql database backend Stores the most recent set of facts, most recent catalog and by default 14 days of reports Provides a very robust API for access to information Great for exported resources! (don’t even think about using storeconfigs)
  • 13. Really? Hmmmm…. https://docs.puppetlabs.com/guides/scaling_ multiple_masters.html To scale beyond a certain size Geographic distribution / disaster recovery Administrative boundaries (politics)
  • 14. There isn’t a golden “though shall must always have more than one at this level” Number of resources declared in manifests and infrastructure? Exported resources? Number of nodes? Time to compile catalog? Time between runs? How are other administrative groups using puppet?
  • 15. After adding hosts via pdsh After random distribution reestablishes
  • 16.
  • 17. Methods for getting the manifests modules out to the puppet masters Software distribution (RPM, Jenkins testing, etc.) Puppetfile management with R10K, puppet- librarian, puppet-librarian-simple Puppet librarian Run your own forge! (Pulp) git pull via cron jobs… NFS share… Puppet 3.6 with the new path is a potential issue for migration in this module…
  • 18. LB: 1 core, 2 GB ram PM-CA: 1 core, 2 GB ram PM: 4 cores, 4 GB ram PuppetDB: installed on each puppet master PostgreSQL: 2 cores, 8 GB Ram (VMware Hosts are ProLiant DL385 G7s w/ AMD 6176 2.3 GHz procs)
  • 19.
  • 20.
  • 22. theForeman and Dashboard use the same postgresql DB backend (2 cores, 8 GB Ram) theForeman web frontend: 2 cores, 4 GB Ram Dashboard frontend: 2 cores, 8 GB Ram (have puppet master and puppetdb installed on same server for reporting access) YMMV on any of these specs
  • 23. LB (mod_proxy) splits traffic to appropriate PM Puppet Master (PM) can serve out a single or multiple environments via apache/mod_passenger The CA CRL is distributed to the LB and PMs All reports are forwarded to foreman and dashboard Shared file bucket across all puppet masters via NFS
  • 24. Leverage redundancy and resilience of the VMware infrastructure Can quickly scale as needed for systems or environments Security and partitioning of environments Safely test and roll through server upgrades Fast resource additions to reduce chokepoints
  • 25. A single load balancer in front (hardware or software) A single server running PuppetDB A single server running postgresql Reporting?
  • 26. Nope… Statically assign masters to the clients in the puppet.conf file Use Round-Robin DNS DNS SRV Records
  • 27. Running puppet as a service for multiple groups with different administrative boundaries Everything is just peachy for getting manifests out and reports separated with RBAC! except… PuppetDB: All for one and one for all… full access to any facts, catalogs, and reports in the database… no RBAC