Graphing Performance Info With MRTG

Active Host Checks - This graph shows how may active host checks (regularly scheduled and on-demand) have occurred over time. Useful for understanding:

• Host checks
• Predictive host dependency checks
• Cached checks

Active Service Checks - This graph shows how may active service checks (reguarly scheduled and on-demand) have occurred over time. Useful for understanding:

• Service checks
• Predictive service dependency checks
• Cached checks

Cached Host and Service Checks - This graph shows how may cached host and service checks have occurred over time. Useful for understanding:

• Cached checks
• Predictive host and service dependency checks

Passive Host and Service Checks - This graph shows how may passive host and service checks have occurred over time. Useful for understanding:

• Passive checks

Hosts/Services Actively Checked - This graph shows how many (of the total number of) hosts and services were last checked actively over time. Useful for understanding:

• Active checks

Hosts/Services Passively Checked - This graph shows how many (of the total number of) hosts and services were last checked passively over time. Useful for understanding:

• Passive checks

Average Service Check Latency and Execution Time - This graph shows average service check latency and execution times over time. Useful for understanding:

• Service checks
• Performance tuning

Consistently high latencies can be an indication that one of more of the following variables need tweaking:

• max_concurrent_checks
• check_result_reaper_frequency
• max_check_result_reaper_time

Average Service State Change - This graph shows the average percent state change (a measure of volatility) for services over time, broken down by services that were last checked either actively or passively. Useful for understanding:

• Flap detection

Average Host Check Latency and Execution Time - This graph shows average host check latency and execution times over time. Useful for understanding:

• Host checks
• Performance tuning

Consistently high latencies can be an indication that one of more of the following variables need tweaking:

• max_concurrent_checks
• check_result_reaper_frequency
• max_check_result_reaper_time

Average Host State Change - This graph shows the average percent state change (a measure of volatility) for hosts over time, broken down by hosts that were last checked either actively or passively. Useful for understanding:

• Flap detection

External Commands - This graph shows how may external commands have been processed by the Nagios daemon over time. Unless you're processing a large number of external commands (as in the case with distributed monitoring setups), this graph may appear mostly empty. Monitoring external commands can be useful for understanding the impacts of:

• Passive checks
• Distributed monitoring
• Redundant/failover monitoring

External Command Buffers - This graph shows how may external command buffer slots are in use over time. If the number of used buffers is near the number of available buffers on a regular basis, it is likely you need to increase the available external command buffer slots. Each buffer slot can hold one external command. Buffers are used for temporarily holding external commands from the time they are read from the external command file to the time they are processed by the Nagios daemon.