Tuning Naemon to increase performance can be necessary when you start monitoring a large number (> 10,000) of hosts and services. Here are a few things to look at for optimizing Naemon…
Graph performance statistics with MRTG.
In order to keep track of how well your Naemon installation handles load over time and how your configuration changes affect it, you should be graphing several important statistics with MRTG. This is really, really, really useful when it comes to tuning the performance of a Naemon installation. Really. Information on how to do this can be found here.
Use large installation tweaks.
Check Result Reaper Frequency.
variable determines how often Naemon should check for host and service check
results that need to be processed. The maximum amount of time it can spend
processing those results is determined by the max reaper time (see below). If
your reaper frequency is too high (too infrequent), you might see high
latencies for host and service checks.
Max Reaper Time.
variables determines the maximum amount of time the Naemon daemon can spend
processing the results of host and service checks before moving on to other
things - like executing new host and service checks. Too high of a value can
result in large latencies for your host and service checks. Too low of a value
can have the same effect. If you’re experiencing high latencies, adjust this
variable and see what effect it has. Again, you should be graphing statistics in order to make this
Check service latencies to determine best value for maximum concurrent checks.
Naemon can restrict the number of maximum concurrently executing service checks
to the value you specify with the
This is good because it gives you some control over how much load Naemon will
impose on your monitoring host, but it can also slow things down. If you are
seeing high latency values (> 10 or 15 seconds) for the majority of your
service checks (via the extinfo CGI), you
are probably starving Naemon of the checks it needs. That’s not Naemon’s fault
Use passive checks when possible.
The overhead needed to process the results of passive service checks is much lower than that of “normal” active checks, so make use of that piece of info if you’re monitoring a slew of services. It should be noted that passive service checks are only really useful if you have some external application doing some type of monitoring or reporting, so if you’re having Naemon do all the work, this won’t help things.
Avoid using interpreted plugins.
One thing that will significantly reduce the load on your monitoring host is the use of compiled (C/C++, etc.) plugins rather than interpreted script (Perl, etc) plugins. While Perl scripts and such are easy to write and work well, the fact that they are compiled/interpreted at every execution instance can significantly increase the load on your monitoring host if you have a lot of service checks. If you want to use Perl plugins, consider compiling them into true executables using perlcc(1) (a utility which is part of the standard Perl distribution) or compiling Naemon with an embedded Perl interpreter (see below).
Use the embedded Perl interpreter.
If you’re using a lot of Perl scripts for service checks, etc., you will probably find that compiling the embedded Perl interpreter into the Naemon binary will speed things up.
Optimize host check commands.
If you’re checking host states using the check_ping plugin you’ll find that
host checks will be performed much faster if you break up the checks. Instead
of specifying a
max_attempts value of 1 in the host definition and
having the check_ping plugin send 10 ICMP packets to the host, it would be much
faster to set the
max_attempts value to 10 and only send out 1 ICMP
packet each time. This is due to the fact that Naemon can often determine the
status of a host after executing the plugin once, so you want to make the first
check as fast as possible. This method does have its pitfalls in some
situations (i.e. hosts that are slow to respond may be assumed to be down), but
you’ll see faster host checks if you use it. Another option would be to use a
faster plugin (i.e. check_icmp) as the
host_check_command instead of
Schedule regular host checks.
Scheduling regular checks of hosts can actually help performance in Naemon. This is due to the way the cached check logic works (see below). Prior to Naemon, regularly scheduled host checks used to result in a big performance hit. This is no longer the case, as host checks are run in parallel - just like service checks. To schedule regular checks of a host, set the check_interval directive in the host definition to something greater than 0.
Enable cached host checks.
Beginning with Naemon, on-demand host checks can benefit from caching. On-demand host checks are performed whenever Naemon detects a service state change. These on-demand checks are executed because Naemon wants to know if the host associated with the service changed state. By enabling cached host checks, you can optimize performance. In some cases, Naemon may be able to used the old/cached state of the host, rather than actually executing a host check command. This can speed things up and reduce load on monitoring server. In order for cached checks to be effective, you need to schedule regular checks of your hosts (see above). More information on cached checks can be found here.
Don’t use aggressive host checking.
Unless you’re having problems with Naemon recognizing host recoveries, it is
not recommended enabling the
option. With this option turned off host checks will execute much faster,
resulting in speedier processing of service check results. However, host
recoveries can be missed under certain circumstances when this it turned off.
For example, if a host recovers and all of the services associated with that
host stay in non-OK states (and don’t “wobble” between different non-OK
states), Naemon may miss the fact that the host has recovered.
Optimize hardware for maximum performance.
NOTE: Hardware performance shouldn’t be an issue unless: 1) you’re monitoring thousands of services, 2) you’re doing a lot of post-processing of performance data, etc. Your system configuration and your hardware setup are going to directly affect how your operating system performs, so they’ll affect how Naemon performs. The most common hardware optimization you can make is with your hard drives. CPU and memory speed are obviously factors that affect performance, but disk access is going to be your biggest bottleneck. Don’t store plugins, the status log, etc on slow drives (i.e. old IDE drives or NFS mounts). If you’ve got them, use UltraSCSI drives or fast IDE drives. An important note for IDE/Linux users is that many Linux installations do not attempt to optimize disk access. If you don’t change the disk access parameters (by using a utility like hdparam), you’ll loose out on a lot of the speedy features of the new IDE drives.