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Large Scale CactiAggregation, Automation, CMDB Integration, Extending, Reporting, and Scaling Mike Lindsey – IT Architect - Cisco
Basic Cacti ,[object Object],Server, a database, and PHP ,[object Object]
 Useful documentation provided online.  Large and active  community forums.
 It’ll get the job done for a few racks of uninteresting servers, but quickly becomes limiting for complex, large, or volatile environments.,[object Object]
Graphs For Every Occasion
Graphs For Every Occasion
Graphs For Every Occasion
Graphs For Every Occasion
Graphs For Every Occasion
Custom Data Collection Downloaded scripts, custom PHP/Perl/Python/Bash/etc $ ./script hostname field1:123 field2:456 field3:1.0 Product MIBs, Net-SNMP extend variables.. Collect everything, graph it. 							Forum search: “automatic template generation”
…icecream?
Spine & Boost Cactid - Compiled C poller When 296 seconds from cmd.php isn’t enough. Boost - Decoupled RRD updates Remove local file system latency from polling times.
Aggregate
Aggregate
Aggregate
Aggregate
Autom8Automatic Graph creation and Tree manipulation
Command-Line Tools .. Or, how to stop all the mouse-clicks, and make it work for you. Add hosts Add graphs to hosts Add hosts to trees Never manually add a host or graph again. Or if CMDB integration isn’t your thing, check out the Discovery plugin! http://www.cacti.net/downloads/docs/html/scripts.html
Distributed Polling Scale the bottleneck Toss a poller vm in every colo?
Going Global
Notifications & Reporting Thold plugin Threshold templating, for simple but effective alerting. Nectar plugin Scheduled reports.
Cacti as a Data Warehouse Forum search or dig around GitHub!
Extending Add a little data export to Google Charts… Credit: James Gladstone
Extending Add a little data export to Google Charts…  get something awesome. Credit: James Gladstone

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Large Scale Cacti

Notas del editor

  1. First slide. Breathe. Now begins the fleshy monkey talky bits.
  2. What you get after a FreeBSDpkg_add, a Redhat rpm –install, or apt-get, etc.
  3. Extending graph coverage is easy. Go download a template, and if needed, drop a poller script in /usr/local/cacti/scripts/
  4. Graphs
  5. Really. Collect –everything-You can never graph too much. You can overdue your Notification system, but you cannot overdo your historical trending data.
  6. Sure. Ice Cream.Build sets of graphs from a dozen metrics, in about 20 seconds.
  7. Migrating from the PHP Poller, to a compiled C poller gives a huge boost in performance, at the cost of a manageable amount of deployment effort.Install Boost, break the architecture up, and you can scale to quite well.
  8. Aggregate graph creation plugin lets you get a more complete view of host clusters. If you have a more volatile environment and a static aggregate isn’t enough, alternate options exist allowing automated rebuild of aggregates.
  9. Never deal with graph and tree creation again.
  10. $ls –l /usr/local/cacti/cli/Most require you to run them via ‘php –q ./cli/script’.. All have –help. Read the docs.If you have a host database or a cmdb with an export function, or even a zone file with well named hostnames, and you can parse that in a script, wrapped around the cli tools, you can end up with a fully automated self-managing Cacti install. It’s a great place to be.
  11. With nearly three years of operation in an extensively monitored, multi-colo, global environment with approx 2000 monitored servers; multi-poller Cacti can be accomplished with recent versions, and small-scale unofficial patches.
  12. Current dev branches include integrated functionality for distributed polling.
  13. Threshold plugin works like a Mini Nagios, only without the Nagios. Nectar emails off scheduled reports. Both are simple, powerful, and effective.
  14. For me, Cacti works best when I can easily get data back out. Pull it out, feed it into a dashboard, use it for Nagios plugins, feed it into your business logic. Looking at your data is great, but parsing it and interpreting it relative to other data to get a complete view of your environment or application is priceless. Or, at least, many companies will charge you a very large price for it.
  15. Interactive server utilization Heatmap, thanks to James Gladstone, exported Cacti data, and Google Charts.
  16. Poller1’s running a little hot. It’s also on a slightly smaller box, and doesn’t get any new load from automatically added devices. If it was a VM, I’d consider reducing its allocated memory.
  17. Participate in the forums, Read the docs, Contribute, Do Awesome Things.