Our tech support team is happy to help you with any questions you might have. Contact us on our online support forum at https://support.nagios.com/forum/
Nagios XI is the easy-to-use, enterprise version of Nagios that features:
The current state of monitored services and hosts is determined by two components:
There are two state types in Nagios Core - SOFT states and HARD states. These state types are a crucial part of the monitoring logic, as they are used to determine when event handlers are executed and when notifications are initially sent out.
This document describes the difference between SOFT and HARD states, how they occur, and what happens when they occur.
In order to prevent false alarms from transient problems, Nagios Core allows you to define how many times a service or host should be (re)checked before it is considered to have a "real" problem. This is controlled by the max_check_attempts option in the host and service definitions. Understanding how hosts and services are (re)checked in order to determine if a real problem exists is important in understanding how state types work.
Soft states occur in the following situations:
The following things occur when hosts or services experience SOFT state changes:
The only important thing that really happens during a soft state is the execution of event handlers. Using event handlers can be particularly useful if you want to try and proactively fix a problem before it turns into a HARD state. The $HOSTSTATETYPE$ or $SERVICESTATETYPE$ macros will have a value of "SOFT" when event handlers are executed, which allows your event handler scripts to know when they should take corrective action. More information on event handlers can be found here.
Hard states occur for hosts and services in the following situations:
The following things occur when hosts or services experience HARD state changes:
The $HOSTSTATETYPE$ or $SERVICESTATETYPE$ macros will have a value of "HARD" when event handlers are executed, which allows your event handler scripts to know when they should take corrective action. More information on event handlers can be found here.
Here's an example of how state types are determined, when state changes occur, and when event handlers and notifications are sent out. The table below shows consecutive checks of a service over time. The service has a max_check_attempts value of 3.
|Time||Check #||State||State Type||State Change||Notes|
|0||1||OK||HARD||No||Initial state of the service|
|1||1||CRITICAL||SOFT||Yes||First detection of a non-OK state. Event handlers execute.|
|2||2||WARNING||SOFT||Yes||Service continues to be in a non-OK state. Event handlers execute.|
|3||3||CRITICAL||HARD||Yes||Max check attempts has been reached, so service goes into a HARD state. Event handlers execute and a problem notification is sent out. Check # is reset to 1 immediately after this happens.|
|4||3||WARNING||HARD||Yes||Service changes to a HARD WARNING state. Event handlers execute and a problem notification is sent out.|
|5||3||WARNING||HARD||No||Service stabilizes in a HARD problem state. Depending on what the notification interval for the service is, another notification might be sent out.|
|6||1||OK||HARD||Yes||Service experiences a HARD recovery. Event handlers execute and a recovery notification is sent out.|
|7||1||OK||HARD||No||Service is still OK.|
|8||1||UNKNOWN||SOFT||Yes||Service is detected as changing to a SOFT non-OK state. Event handlers execute.|
|9||2||OK||SOFT||Yes||Service experiences a SOFT recovery. Event handlers execute, but notification are not sent, as this wasn't a "real" problem. State type is set HARD and check # is reset to 1 immediately after this happens.|
|10||1||OK||HARD||No||Service stabilizes in an OK state.|