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Learn about Nagios high availability options with DRBD and Pacemaker to achieve data consistency, redundancy, and reliability. Implementing DRBD magic and using Pacemaker for resource management can enhance your system's resilience. Take a deep dive into replication, protocols, and hardware considerations. Ensure your Nagios setup is robust, reliable, and efficient for uninterrupted monitoring.
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Nagios Is Down and Your Boss Wants to See You Andrew Widdersheim awiddersheim@inetu.net
Nagios High Availability Options • Merlin by op5 • Classic method described in Nagios Core documentation • Some type of virtualized solution like VMWare • or…
Nagios High Availability • + • = Win
DRBD magic • Linbit • Free • Runs in Kernel either by module or in the mainline code if Kernel is new enough • Each server gets its own independent storage • Able to maintain the data’s consistency between the nodes • Resource level fencing
DRBD considerations • DRBD is as fast as the slowest node • Network latency • Replication over great distances can be done • DRBD proxy can increase performance over great distances but does cost money • Recommend using dedicated cross-over link for best performance • Protocol Choices • Protocol A: write IO is reported as completed, if it has reached local disk and local TCP send buffer. • Protocol B: write IO is reported as completed, if it has reached local disk and remote buffer cache. • Protocol C: write IO is reported as completed, if it has reached both local and remote disk.
Pacemaker + DRBD + Nagios Nagios Apache NPCD NCSA Nagios Stuff rrdcached VIP 192.168.1.57 Filesystem ext4 DRBD Primary Secondary Resource Manager Pacemaker Messaging CoroSync / Heartbeat Hardware Node2 Node1
Pacemaker + DRBD + Nagios Nagios Apache NPCD NCSA Nagios Stuff rrdcached VIP 192.168.1.57 Filesystem ext4 DRBD Primary Secondary Resource Manager Pacemaker Messaging CoroSync / Heartbeat Hardware Node2 Node1
Pacemaker + DRBD + Nagios Nagios Apache NPCD NCSA rrdcached 192.168.1.57 ext4 DRBD Secondary Primary Resource Manager Pacemaker Messaging CoroSync / Heartbeat Hardware Node2 Node1
Pacemaker and Nagios primitive p_fs_nagios ocf:heartbeat:Filesystem \ params device="/dev/drbd/by-res/r1" directory="/drbd/r1" fstype="ext4“ options="noatime" \ op start interval="0" timeout="60s" \ op stop interval="0" timeout="180s" \ op monitor interval="30s" timeout="40s" primitive p_nagios lsb:nagios \ op start interval="0" timeout="180s" \ op stop interval="0" timeout="40s" \ op monitor interval="30s" \ meta target-role="Started" group g_nagios p_fs_nagios p_nagios_ip p_nagios_bacula p_nagios_mysql \ p_nagios_rrdcached p_nagios_npcd p_nagios_nsca p_nagios_apache \ p_nagios_syslog-ng p_nagios \ meta target-role="Started"
Pacemaker considerations • Redundant communication links are a must • Recommend use of crossover to help accomplish this • Init scripts for Nagios must be LSB compliant… some are not
What to replicate? • Configuration • Host • Service • Multi check command files • Webinject command files • PNP4Nagios RRD’s • Nagios log files • retention.dat • Mail Queue (eh…)
Everything else? • Binaries and main configuration files installed using packages independently on each server • Able to update one node at a time • Easy to roll back should there be an issue • Version/change management • Consistent build process • NDO and MySQL hosted on separate HA cluster
RPM’s • Build and maintain our own RPM’s • Lets us configure everything to our liking • Lets us update at our own pace • Controlled through SVN with a post-commit to automatically update our own Nagios repository with new packages/updates. Then it is as simple as doing “yum update” on your servers. • A lot of upfront work but was worth it
How has this helped? Have been able to repair, upgrade and move hardware with minimal downtime Updated OS and restart server with minimal downtime Able to update to 3.4.1 and promptly patch issue affecting Nagios downtime’s that was not caught in QA CGI pages of death
What doesn’t this solve? Having an HA cluster is great but there are still things that can go wrong having a cluster does not solve Configuration issues are probably the most prevalent thing we run into that might bring down Nagios without there being a major hardware/DC issue We make use of NagiosQL which does a backup when a configuration is changed. This allows us to rollback unwanted changes but isn’t the best.
Two is better than one Setting up another cluster for “development” with similar hardware and software is a great way to test things outside of production Lets you spot potential problems before they become a problem
Monitoring your cluster • check_crm • http://exchange.nagios.org/directory/Plugins/Clustering-and-High-2DAvailability/Check-CRM/details • check_drbd • http://exchange.nagios.org/directory/Plugins/Operating-Systems/Linux/check_drbd/details • check_heartbeat_link • http://exchange.nagios.org/directory/Plugins/Operating-Systems/Linux/check_heartbeat_link/details
Gotcha’s • RPM’s and symlinks in an HA solution are bad • Symlink /usr/local/nagios/etc/ -> /drbd/r1/nagios/etc when node is secondary and you update RPM your symlink will get blown away • Restarting services controlled by Pacemaker should be done within Pacemaker crm resource restart p_nagios
Quick Stats • Thousands of host and service checks • Average check latency ~.300 sec • Average checks per second ~70 • Mostly active checks polling every 5 minutes • DL360 G5 • 6 146GB 10k SAS drives in RAID10 • 2 quad core E5450 @ 3.00GHz • 8GB Memory
Tuning • RAM disk for check results queue, NPCD queue, objects.cache and status.dat • NDOUtils with async patch • Built in since version 1.5 • Limit what you send to NDOUtils • Bulk Mode with npcdmod • rrdcached • Restarting Nagios through external command eventually resulted in higher latencies for some reason • Large installation tweaks • Disable environment macros • A lot of trial and error with scheduling and reaper frequencies • Small amount of check optimization • Measuring Nagios performance using PNP4Nagios is a must
Quick Stats Questions?