# Advanced Topics This chapter covers a number of advanced topics. If you're new to Icinga, you can safely skip over things you're not interested in. ## Downtimes Downtimes can be scheduled for planned server maintenance or any other targeted service outage you are aware of in advance. Downtimes will suppress any notifications, and may trigger other downtimes too. If the downtime was set by accident, or the duration exceeds the maintenance, you can manually cancel the downtime. Planned downtimes will also be taken into account for SLA reporting tools calculating the SLAs based on the state and downtime history. Multiple downtimes for a single object may overlap. This is useful when you want to extend your maintenance window taking longer than expected. If there are multiple downtimes triggered for one object, the overall downtime depth will be greater than `1`. If the downtime was scheduled after the problem changed to a critical hard state triggering a problem notification, and the service recovers during the downtime window, the recovery notification won't be suppressed. ### Fixed and Flexible Downtimes A `fixed` downtime will be activated at the defined start time, and removed at the end time. During this time window the service state will change to `NOT-OK` and then actually trigger the downtime. Notifications are suppressed and the downtime depth is incremented. Common scenarios are a planned distribution upgrade on your linux servers, or database updates in your warehouse. The customer knows about a fixed downtime window between 23:00 and 24:00. After 24:00 all problems should be alerted again. Solution is simple - schedule a `fixed` downtime starting at 23:00 and ending at 24:00. Unlike a `fixed` downtime, a `flexible` downtime will be triggered by the state change in the time span defined by start and end time, and then last for the specified duration in minutes. Imagine the following scenario: Your service is frequently polled by users trying to grab free deleted domains for immediate registration. Between 07:30 and 08:00 the impact will hit for 15 minutes and generate a network outage visible to the monitoring. The service is still alive, but answering too slow to Icinga 2 service checks. For that reason, you may want to schedule a downtime between 07:30 and 08:00 with a duration of 15 minutes. The downtime will then last from its trigger time until the duration is over. After that, the downtime is removed (may happen before or after the actual end time!). ### Scheduling a downtime You can schedule a downtime either by using the Icinga 2 API action [schedule-downtime](12-icinga2-api.md#icinga2-api-actions-schedule-downtime) or by sending an [external command](14-features.md#external-commands). #### Fixed Downtime If the host/service changes into a NOT-OK state between the start and end time window, the downtime will be marked as `in effect` and increases the downtime depth counter. ``` | | | start | end trigger time ``` #### Flexible Downtime A flexible downtime defines a time window where the downtime may be triggered from a host/service NOT-OK state change. It will then last until the specified time duration is reached. That way it can happen that the downtime end time is already gone, but the downtime ends at `trigger time + duration`. ``` | | | start | end actual end time |--------------duration--------| trigger time ``` ### Triggered Downtimes This is optional when scheduling a downtime. If there is already a downtime scheduled for a future maintenance, the current downtime can be triggered by that downtime. This renders useful if you have scheduled a host downtime and are now scheduling a child host's downtime getting triggered by the parent downtime on `NOT-OK` state change. ### Recurring Downtimes [ScheduledDowntime objects](9-object-types.md#objecttype-scheduleddowntime) can be used to set up recurring downtimes for services. Example: apply ScheduledDowntime "backup-downtime" to Service { author = "icingaadmin" comment = "Scheduled downtime for backup" ranges = { monday = "02:00-03:00" tuesday = "02:00-03:00" wednesday = "02:00-03:00" thursday = "02:00-03:00" friday = "02:00-03:00" saturday = "02:00-03:00" sunday = "02:00-03:00" } assign where "backup" in service.groups } ## Comments Comments can be added at runtime and are persistent over restarts. You can add useful information for others on repeating incidents (for example "last time syslog at 100% cpu on 17.10.2013 due to stale nfs mount") which is primarily accessible using web interfaces. You can add a comment either by using the Icinga 2 API action [add-comment](12-icinga2-api.md#icinga2-api-actions-add-comment) or by sending an [external command](14-features.md#external-commands). ## Acknowledgements If a problem persists and notifications have been sent, you can acknowledge the problem. That way other users will get a notification that you're aware of the issue and probably are already working on a fix. Note: Acknowledgements also add a new [comment](8-advanced-topics.md#comments-intro) which contains the author and text fields. You can send an acknowledgement either by using the Icinga 2 API action [acknowledge-problem](12-icinga2-api.md#icinga2-api-actions-acknowledge-problem) or by sending an [external command](14-features.md#external-commands). ### Sticky Acknowledgements The acknowledgement is removed if a state change occurs or if the host/service recovers (OK/Up state). If you acknowlege a problem once you've received a `Critical` notification, the acknowledgement will be removed if there is a state transition to `Warning`. ``` OK -> WARNING -> CRITICAL -> WARNING -> OK ``` If you prefer to keep the acknowledgement until the problem is resolved (`OK` recovery) you need to enable the `sticky` parameter. ### Expiring Acknowledgements Once a problem is acknowledged it may disappear from your `handled problems` dashboard and no-one ever looks at it again since it will suppress notifications too. This `fire-and-forget` action is quite common. If you're sure that a current problem should be resolved in the future at a defined time, you can define an expiration time when acknowledging the problem. Icinga 2 will clear the acknowledgement when expired and start to re-notify, if the problem persists. ## Time Periods [Time Periods](9-object-types.md#objecttype-timeperiod) define time ranges in Icinga where event actions are triggered, for example whether a service check is executed or not within the `check_period` attribute. Or a notification should be sent to users or not, filtered by the `period` and `notification_period` configuration attributes for `Notification` and `User` objects. > **Note** > > If you are familiar with Icinga 1.x, these time period definitions > are called `legacy timeperiods` in Icinga 2. > > An Icinga 2 legacy timeperiod requires the `ITL` provided template >`legacy-timeperiod`. The `TimePeriod` attribute `ranges` may contain multiple directives, including weekdays, days of the month, and calendar dates. These types may overlap/override other types in your ranges dictionary. The descending order of precedence is as follows: * Calendar date (2008-01-01) * Specific month date (January 1st) * Generic month date (Day 15) * Offset weekday of specific month (2nd Tuesday in December) * Offset weekday (3rd Monday) * Normal weekday (Tuesday) If you don't set any `check_period` or `notification_period` attribute on your configuration objects, Icinga 2 assumes `24x7` as time period as shown below. object TimePeriod "24x7" { import "legacy-timeperiod" display_name = "Icinga 2 24x7 TimePeriod" ranges = { "monday" = "00:00-24:00" "tuesday" = "00:00-24:00" "wednesday" = "00:00-24:00" "thursday" = "00:00-24:00" "friday" = "00:00-24:00" "saturday" = "00:00-24:00" "sunday" = "00:00-24:00" } } If your operation staff should only be notified during workhours, create a new timeperiod named `workhours` defining a work day from 09:00 to 17:00. object TimePeriod "workhours" { import "legacy-timeperiod" display_name = "Icinga 2 8x5 TimePeriod" ranges = { "monday" = "09:00-17:00" "tuesday" = "09:00-17:00" "wednesday" = "09:00-17:00" "thursday" = "09:00-17:00" "friday" = "09:00-17:00" } } Furthermore if you wish to specify a notification period across midnight, you can define it the following way: object Timeperiod "across-midnight" { import "legacy-timeperiod" display_name = "Nightly Notification" ranges = { "saturday" = "22:00-24:00" "sunday" = "00:00-03:00" } } Below you can see another example for configuring timeperiods across several days, weeks or months. This can be useful when taking components offline for a distinct period of time. object Timeperiod "standby" { import "legacy-timeperiod" display_name = "Standby" ranges = { "2016-09-30 - 2016-10-30" = "00:00-24:00" } } Please note that the spaces before and after the dash are mandatory. Once your time period is configured you can Use the `period` attribute to assign time periods to `Notification` and `Dependency` objects: object Notification "mail" { import "generic-notification" host_name = "localhost" command = "mail-notification" users = [ "icingaadmin" ] period = "workhours" } ### Time Periods Inclusion and Exclusion Sometimes it is necessary to exclude certain time ranges from your default time period definitions, for example, if you don't want to send out any notification during the holiday season, or if you only want to allow small time windows for executed checks. The [TimePeriod object](9-object-types.md#objecttype-timeperiod) provides the `includes` and `excludes` attributes to solve this issue. `prefer_includes` defines whether included or excluded time periods are preferred. The following example defines a time period called `holidays` where notifications should be supressed: object TimePeriod "holidays" { import "legacy-timeperiod" ranges = { "january 1" = "00:00-24:00" //new year's day "july 4" = "00:00-24:00" //independence day "december 25" = "00:00-24:00" //christmas "december 31" = "18:00-24:00" //new year's eve (6pm+) "2017-04-16" = "00:00-24:00" //easter 2017 "monday -1 may" = "00:00-24:00" //memorial day (last monday in may) "monday 1 september" = "00:00-24:00" //labor day (1st monday in september) "thursday 4 november" = "00:00-24:00" //thanksgiving (4th thursday in november) } } In addition to that the time period `weekends` defines an additional time window which should be excluded from notifications: object TimePeriod "weekends-excluded" { import "legacy-timeperiod" ranges = { "saturday" = "00:00-09:00,18:00-24:00" "sunday" = "00:00-09:00,18:00-24:00" } } The time period `prod-notification` defines the default time ranges and adds the excluded time period names as an array. object TimePeriod "prod-notification" { import "legacy-timeperiod" excludes = [ "holidays", "weekends-excluded" ] ranges = { "monday" = "00:00-24:00" "tuesday" = "00:00-24:00" "wednesday" = "00:00-24:00" "thursday" = "00:00-24:00" "friday" = "00:00-24:00" "saturday" = "00:00-24:00" "sunday" = "00:00-24:00" } } ## Advanced Use of Apply Rules [Apply rules](3-monitoring-basics.md#using-apply) can be used to create a rule set which is entirely based on host objects and their attributes. In addition to that [apply for and custom attribute override](3-monitoring-basics.md#using-apply-for) extend the possibilities. The following example defines a dictionary on the host object which contains configuration attributes for multiple web servers. This then used to add three checks: * A `ping4` check using the local IP `address` of the web server. * A `tcp` check querying the TCP port where the HTTP service is running on. * If the `url` key is defined, the third apply for rule will create service objects using the `http` CheckCommand. In addition to that you can optionally define the `ssl` attribute which enables HTTPS checks. Host definition: object Host "webserver01" { import "generic-host" address = "192.168.56.200" vars.os = "Linux" vars.webserver = { instance["status"] = { address = "192.168.56.201" port = "80" url = "/status" } instance["tomcat"] = { address = "192.168.56.202" port = "8080" } instance["icingaweb2"] = { address = "192.168.56.210" port = "443" url = "/icingaweb2" ssl = true } } } Service apply for definitions: apply Service "webserver_ping" for (instance => config in host.vars.webserver.instance) { display_name = "webserver_" + instance check_command = "ping4" vars.ping_address = config.address assign where host.vars.webserver.instance } apply Service "webserver_port" for (instance => config in host.vars.webserver.instance) { display_name = "webserver_" + instance + "_" + config.port check_command = "tcp" vars.tcp_address = config.address vars.tcp_port = config.port assign where host.vars.webserver.instance } apply Service "webserver_url" for (instance => config in host.vars.webserver.instance) { display_name = "webserver_" + instance + "_" + config.url check_command = "http" vars.http_address = config.address vars.http_port = config.port vars.http_uri = config.url if (config.ssl) { vars.http_ssl = config.ssl } assign where config.url != "" } The variables defined in the host dictionary are not using the typical custom attribute prefix recommended for CheckCommand parameters. Instead they are re-used for multiple service checks in this example. In addition to defining check parameters this way, you can also enrich the `display_name` attribute with more details. This will be shown in in Icinga Web 2 for example. ## Use Functions in Object Configuration There is a limited scope where functions can be used as object attributes such as: * As value for [Custom Attributes](3-monitoring-basics.md#custom-attributes-functions) * Returning boolean expressions for [set_if](8-advanced-topics.md#use-functions-command-arguments-setif) inside command arguments * Returning a [command](8-advanced-topics.md#use-functions-command-attribute) array inside command objects The other way around you can create objects dynamically using your own global functions. > **Note** > > Functions called inside command objects share the same global scope as runtime macros. > Therefore you can access host custom attributes like `host.vars.os`, or any other > object attribute from inside the function definition used for [set_if](8-advanced-topics.md#use-functions-command-arguments-setif) or [command](8-advanced-topics.md#use-functions-command-attribute). Tips when implementing functions: * Use [log()](18-library-reference.md#global-functions-log) to dump variables. You can see the output inside the `icinga2.log` file depending in your log severity * Use the `icinga2 console` to test basic functionality (e.g. iterating over a dictionary) * Build them step-by-step. You can always refactor your code later on. ### Use Functions in Command Arguments set_if The `set_if` attribute inside the command arguments definition in the [CheckCommand object definition](9-object-types.md#objecttype-checkcommand) is primarily used to evaluate whether the command parameter should be set or not. By default you can evaluate runtime macros for their existence. If the result is not an empty string, the command parameter is passed. This becomes fairly complicated when want to evaluate multiple conditions and attributes. The following example was found on the community support channels. The user had defined a host dictionary named `compellent` with the key `disks`. This was then used inside service apply for rules. object Host "dict-host" { check_command = "check_compellent" vars.compellent["disks"] = { file = "/var/lib/check_compellent/san_disks.0.json", checks = ["disks"] } } The more significant problem was to only add the command parameter `--disk` to the plugin call when the dictionary `compellent` contains the key `disks`, and omit it if not found. By defining `set_if` as [abbreviated lambda function](17-language-reference.md#nullary-lambdas) and evaluating the host custom attribute `compellent` containing the `disks` this problem was solved like this: object CheckCommand "check_compellent" { command = [ "/usr/bin/check_compellent" ] arguments = { "--disks" = { set_if = {{ var host_vars = host.vars log(host_vars) var compel = host_vars.compellent log(compel) compel.contains("disks") }} } } } This implementation uses the dictionary type method [contains](18-library-reference.md#dictionary-contains) and will fail if `host.vars.compellent` is not of the type `Dictionary`. Therefore you can extend the checks using the [typeof](17-language-reference.md#types) function. You can test the types using the `icinga2 console`: # icinga2 console Icinga (version: v2.3.0-193-g3eb55ad) <1> => srv_vars.compellent["check_a"] = { file="outfile_a.json", checks = [ "disks", "fans" ] } null <2> => srv_vars.compellent["check_b"] = { file="outfile_b.json", checks = [ "power", "voltages" ] } null <3> => typeof(srv_vars.compellent) type 'Dictionary' <4> => The more programmatic approach for `set_if` could look like this: "--disks" = { set_if = {{ var srv_vars = service.vars if(len(srv_vars) > 0) { if (typeof(srv_vars.compellent) == Dictionary) { return srv_vars.compellent.contains("disks") } else { log(LogInformationen, "checkcommand set_if", "custom attribute compellent_checks is not a dictionary, ignoring it.") return false } } else { log(LogWarning, "checkcommand set_if", "empty custom attributes") return false } }} } ### Use Functions as Command Attribute This comes in handy for [NotificationCommands](9-object-types.md#objecttype-notificationcommand) or [EventCommands](9-object-types.md#objecttype-eventcommand) which does not require a returned checkresult including state/output. The following example was taken from the community support channels. The requirement was to specify a custom attribute inside the notification apply rule and decide which notification script to call based on that. object User "short-dummy" { } object UserGroup "short-dummy-group" { assign where user.name == "short-dummy" } apply Notification "mail-admins-short" to Host { import "mail-host-notification" command = "mail-host-notification-test" user_groups = [ "short-dummy-group" ] vars.short = true assign where host.vars.notification.mail } The solution is fairly simple: The `command` attribute is implemented as function returning an array required by the caller Icinga 2. The local variable `mailscript` sets the default value for the notification scrip location. If the notification custom attribute `short` is set, it will override the local variable `mailscript` with a new value. The `mailscript` variable is then used to compute the final notification command array being returned. You can omit the `log()` calls, they only help debugging. object NotificationCommand "mail-host-notification-test" { command = {{ log("command as function") var mailscript = "mail-host-notification-long.sh" if (notification.vars.short) { mailscript = "mail-host-notification-short.sh" } log("Running command") log(mailscript) var cmd = [ SysconfDir + "/icinga2/scripts/" + mailscript ] log(LogCritical, "me", cmd) return cmd }} env = { } } ### Use Custom Functions as Attribute To use custom functions as attributes, the function must be defined in a slightly unexpected way. The following example shows how to assign values depending on group membership. All hosts in the `slow-lan` host group use 300 as value for `ping_wrta`, all other hosts use 100. globals.group_specific_value = function(group, group_value, non_group_value) { return function() use (group, group_value, non_group_value) { if (group in host.groups) { return group_value } else { return non_group_value } } } apply Service "ping4" { import "generic-service" check_command = "ping4" vars.ping_wrta = group_specific_value("slow-lan", 300, 100) vars.ping_crta = group_specific_value("slow-lan", 500, 200) assign where true } ### Use Functions in Assign Where Expressions If a simple expression for matching a name or checking if an item exists in an array or dictionary does not fit, you should consider writing your own global [functions](17-language-reference.md#functions). You can call them inside `assign where` and `ignore where` expressions for [apply rules](3-monitoring-basics.md#using-apply-expressions) or [group assignments](3-monitoring-basics.md#group-assign-intro) just like any other global functions for example [match](18-library-reference.md#global-functions-match). The following example requires the host `myprinter` being added to the host group `printers-lexmark` but only if the host uses a template matching the name `lexmark*`. template Host "lexmark-printer-host" { vars.printer_type = "Lexmark" } object Host "myprinter" { import "generic-host" import "lexmark-printer-host" address = "192.168.1.1" } /* register a global function for the assign where call */ globals.check_host_templates = function(host, search) { /* iterate over all host templates and check if the search matches */ for (tmpl in host.templates) { if (match(search, tmpl)) { return true } } /* nothing matched */ return false } object HostGroup "printers-lexmark" { display_name = "Lexmark Printers" /* call the global function and pass the arguments */ assign where check_host_templates(host, "lexmark*") } Take a different more complex example: All hosts with the custom attribute `vars_app` as nested dictionary should be added to the host group `ABAP-app-server`. But only if the `app_type` for all entries is set to `ABAP`. It could read as wildcard match for nested dictionaries: where host.vars.vars_app["*"].app_type == "ABAP" The solution for this problem is to register a global function which checks the `app_type` for all hosts with the `vars_app` dictionary. object Host "appserver01" { check_command = "dummy" vars.vars_app["ABC"] = { app_type = "ABAP" } } object Host "appserver02" { check_command = "dummy" vars.vars_app["DEF"] = { app_type = "ABAP" } } globals.check_app_type = function(host, type) { /* ensure that other hosts without the custom attribute do not match */ if (typeof(host.vars.vars_app) != Dictionary) { return false } /* iterate over the vars_app dictionary */ for (key => val in host.vars.vars_app) { /* if the value is a dictionary and if contains the app_type being the requested type */ if (typeof(val) == Dictionary && val.app_type == type) { return true } } /* nothing matched */ return false } object HostGroup "ABAP-app-server" { assign where check_app_type(host, "ABAP") } ## Access Object Attributes at Runtime The [Object Accessor Functions](18-library-reference.md#object-accessor-functions) can be used to retrieve references to other objects by name. This allows you to access configuration and runtime object attributes. A detailed list can be found [here](9-object-types.md#object-types). Simple cluster example for accessing two host object states and calculating a virtual cluster state and output: object Host "cluster-host-01" { check_command = "dummy" vars.dummy_state = 2 vars.dummy_text = "This host is down." } object Host "cluster-host-02" { check_command = "dummy" vars.dummy_state = 0 vars.dummy_text = "This host is up." } object Host "cluster" { check_command = "dummy" vars.cluster_nodes = [ "cluster-host-01", "cluster-host-02" ] vars.dummy_state = {{ var up_count = 0 var down_count = 0 var cluster_nodes = macro("$cluster_nodes$") for (node in cluster_nodes) { if (get_host(node).state > 0) { down_count += 1 } else { up_count += 1 } } if (up_count >= down_count) { return 0 //same up as down -> UP } else { return 2 //something is broken } }} vars.dummy_text = {{ var output = "Cluster hosts:\n" var cluster_nodes = macro("$cluster_nodes$") for (node in cluster_nodes) { output += node + ": " + get_host(node).last_check_result.output + "\n" } return output }} } The following example sets time dependent thresholds for the load check based on the current time of the day compared to the defined time period. object TimePeriod "backup" { import "legacy-timeperiod" ranges = { monday = "02:00-03:00" tuesday = "02:00-03:00" wednesday = "02:00-03:00" thursday = "02:00-03:00" friday = "02:00-03:00" saturday = "02:00-03:00" sunday = "02:00-03:00" } } object Host "webserver-with-backup" { check_command = "hostalive" address = "127.0.0.1" } object Service "webserver-backup-load" { check_command = "load" host_name = "webserver-with-backup" vars.load_wload1 = {{ if (get_time_period("backup").is_inside) { return 20 } else { return 5 } }} vars.load_cload1 = {{ if (get_time_period("backup").is_inside) { return 40 } else { return 10 } }} } ## Check Result Freshness In Icinga 2 active check freshness is enabled by default. It is determined by the `check_interval` attribute and no incoming check results in that period of time. threshold = last check execution time + check interval Passive check freshness is calculated from the `check_interval` attribute if set. threshold = last check result time + check interval If the freshness checks are invalid, a new check is executed defined by the `check_command` attribute. ## Check Flapping The flapping algorithm used in Icinga 2 does not store the past states but calculates the flapping threshold from a single value based on counters and half-life values. Icinga 2 compares the value with a single flapping threshold configuration attribute named `flapping_threshold`. Flapping detection can be enabled or disabled using the `enable_flapping` attribute. ## Volatile Services By default all services remain in a non-volatile state. When a problem occurs, the `SOFT` state applies and once `max_check_attempts` attribute is reached with the check counter, a `HARD` state transition happens. Notifications are only triggered by `HARD` state changes and are then re-sent defined by the `interval` attribute. It may be reasonable to have a volatile service which stays in a `HARD` state type if the service stays in a `NOT-OK` state. That way each service recheck will automatically trigger a notification unless the service is acknowledged or in a scheduled downtime.