Alexander Naydenko - Nagios to Zabbix Migration | ZabConf2016

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Zabbix

A case study on how we learned to stop worrying and love Zabbix, in a in depth migration process from Nagios to Zabbix.

Tecnología

How we learned to stop
worrying and love Zabbix
Nagios->Zabbix migration

Some background info on
our monitoring ecosystem

How we evolved:
5 companies, < 100 hardware items
Various tools (FPinger, scripts)
30 companies, 10 engineers, =<1000 hardware items
Linux/Windows/Solaris/*BSD/Cisco/…/…
Nagios (NCSA/NRPE/NagiosGraph/NagVis) and MOM
100+ companies, 20+ engineers, >=5000 hardware items
Linux/Windows/Solaris/*BSD/Cisco/VoIP/Security
Centreon

Why Centreon?
• ACL
• Distributed monitoring
• Nagios backend and plugins
• Not so ugly
• Web configuration

Things to monitor
• *nix and Windows (50-100+ sensors per host)
• VoIP infrastructure(H/W, S/W, trunks and calls)
• Databases and applications
• Network equipment (interfaces, connectivity etc)
• Supplementary systems (cameras, temperature
sensors, UPSes etc.)

How it worked
Monitoring automation Server infrastructure

Problems
• Management
• Not enough information and features
• Performance problems
• NCSA/NRDP limitations
• need to use a lot of active checks
• script performance
• Basic agents (NRPE/NCPA)
• WMI check performance
• Nagios.cfg limitations
• Broker management issues (SSH+scripts)
• Not enough SLA
• Too many different services to integrate together (brokers, processors, scripts, etc)

Extended nagios architecture
(Nagios XI)

+CLAPI
+Nagvis
+Puppet
+home-made scripts
+hacks
+many more

Synchronization issues
Performance data shipping issues
Any configuration change => config rebuild + engine reload
Data is distributed across different files and databases
Interaction is based on sockets, files and scripts

Nagios doesn’t decide if check result is ok or not.
Script does

Nagios doesn’t decide if check result is ok or not.
Script does.
Nothing is built in
Only scripts
No proper authentication
No decent agents
History is tracked in per-check files

Performance
Interpreted languages (Perl, Python, bash, whatever..)
Exit codes

NOT ENOUGH SLA
CRITICAL
WARNING
OK
FLAPPING

Less than a day to setup
a distributed installation

Less than a week to
setup most of the
sensors

It took less than two months to
deploy it on 90% of the monitored
infrastructures
• 1218 servers
• 519 network devices
• over 100k items

Migration process
Deploy: puppet + SQL-scripts
Checks: google and github
Built-in wmi.get!
Built-in LLD!
Built-in inventory!
TLS authentication!
JSON-API!
Lot more

How it works now
Monitoring automation Server infrastructure

What we like
• No more hassle adding new hosts
• Much more information
• Finally decent reports
• Better performance
• 3 times less resources required

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