# Icinga 2 Features ## Logging Icinga 2 supports three different types of logging: * File logging * Syslog (on Linux/UNIX) * Console logging (`STDOUT` on tty) You can enable additional loggers using the `icinga2 feature enable` and `icinga2 feature disable` commands to configure loggers: Feature | Description ----------------|------------ debuglog | Debug log (path: `/var/log/icinga2/debug.log`, severity: `debug` or higher) journald | Systemd Journal (severity: `warning` or higher) mainlog | Main log (path: `/var/log/icinga2/icinga2.log`, severity: `information` or higher) syslog | Syslog (severity: `warning` or higher) windowseventlog | Windows Event Log (severity: `information` or higher) By default file the `mainlog` feature is enabled. When running Icinga 2 on a terminal log messages with severity `information` or higher are written to the console. ### Log Rotation Packages provide a configuration file for [logrotate](https://linux.die.net/man/8/logrotate) on Linux/Unix. Typically this is installed into `/etc/logrotate.d/icinga2` and modifications won't be overridden on upgrade. Instead of sending the reload HUP signal, logrotate sends the USR1 signal to notify the Icinga daemon that it has rotate the log file. Icinga reopens the log files then: * `/var/log/icinga2/icinga2.log` (requires `mainlog` enabled) * `/var/log/icinga2/debug.log` (requires `debuglog` enabled) * `/var/log/icinga2/error.log` By default, log files will be rotated daily. ## Core Backends ### REST API The REST API is documented [here](12-icinga2-api.md#icinga2-api) as a core feature. ### Icinga DB Icinga DB provides a new core backend and aims to replace the IDO backend output. It consists of different components: * Icinga 2 provides the `icingadb` feature which stores monitoring data in a memory database * The [IcingaDB service](https://github.com/icinga/icingadb) collects and synchronizes monitoring data into its backend * Icinga Web reads monitoring data from the new IcingaDB backend Requirements: * Local Redis instance * MySQL/MariaDB server with `icingadb` database, user and schema imports * Icinga 2's `icingadb` feature enabled * IcingaDB service requires Redis and MySQL/MariaDB server * Icinga Web module Consult the [Icinga DB installation documentation](https://icinga.com/docs/icinga-db/latest/doc/02-Installation/) for setup instructions. We will deprecate the IDO and shift towards the Icinga DB as main backend, but we will not drop the IDO for now. We know that it takes time until the Icinga DB is adopted (maybe even up to one to two years) and we won’t drop the IDO until it is comfortable to do so. ### IDO Database (DB IDO) The IDO (Icinga Data Output) feature for Icinga 2 takes care of exporting all configuration and status information into a database. The IDO database is used by Icinga Web 2 as data backend. Details on the installation can be found in the "Prepare for Icinga Web 2" chapter of the [Installation docs](02-installation.md). Details on the configuration can be found in the [IdoMysqlConnection](09-object-types.md#objecttype-idomysqlconnection) and [IdoPgsqlConnection](09-object-types.md#objecttype-idopgsqlconnection) object configuration documentation. #### DB IDO Health If the monitoring health indicator is critical in Icinga Web 2, you can use the following queries to manually check whether Icinga 2 is actually updating the IDO database. Icinga 2 writes its current status to the `icinga_programstatus` table every 10 seconds. The query below checks 60 seconds into the past which is a reasonable amount of time -- adjust it for your requirements. If the condition is not met, the query returns an empty result. > **Tip** > > Use [check plugins](05-service-monitoring.md#service-monitoring-plugins) to monitor the backend. Replace the `default` string with your instance name if different. Example for MySQL: ``` # mysql -u root -p icinga -e "SELECT status_update_time FROM icinga_programstatus ps JOIN icinga_instances i ON ps.instance_id=i.instance_id WHERE (UNIX_TIMESTAMP(ps.status_update_time) > UNIX_TIMESTAMP(NOW())-60) AND i.instance_name='default';" +---------------------+ | status_update_time | +---------------------+ | 2014-05-29 14:29:56 | +---------------------+ ``` Example for PostgreSQL: ``` # export PGPASSWORD=icinga; psql -U icinga -d icinga -c "SELECT ps.status_update_time FROM icinga_programstatus AS ps JOIN icinga_instances AS i ON ps.instance_id=i.instance_id WHERE ((SELECT extract(epoch from status_update_time) FROM icinga_programstatus) > (SELECT extract(epoch from now())-60)) AND i.instance_name='default'"; status_update_time ------------------------ 2014-05-29 15:11:38+02 (1 Zeile) ``` A detailed list on the available table attributes can be found in the [DB IDO Schema documentation](24-appendix.md#schema-db-ido). #### DB IDO in Cluster HA Zones The DB IDO feature supports [High Availability](06-distributed-monitoring.md#distributed-monitoring-high-availability-db-ido) in the Icinga 2 cluster. By default, both endpoints in a zone calculate the endpoint which activates the feature, the other endpoint automatically pauses it. If the cluster connection breaks at some point, the paused IDO feature automatically does a failover. You can disable this behaviour by setting `enable_ha = false` in both feature configuration files. #### DB IDO Cleanup Objects get deactivated when they are deleted from the configuration. This is visible with the `is_active` column in the `icinga_objects` table. Therefore all queries need to join this table and add `WHERE is_active=1` as condition. Deleted objects preserve their history table entries for later SLA reporting. Historical data isn't purged by default. You can enable the least kept data age inside the `cleanup` configuration attribute for the IDO features [IdoMysqlConnection](09-object-types.md#objecttype-idomysqlconnection) and [IdoPgsqlConnection](09-object-types.md#objecttype-idopgsqlconnection). Example if you prefer to keep notification history for 30 days: ``` cleanup = { notifications_age = 30d contactnotifications_age = 30d } ``` The historical tables are populated depending on the data `categories` specified. Some tables are empty by default. #### DB IDO Tuning As with any application database, there are ways to optimize and tune the database performance. General tips for performance tuning: * [MariaDB KB](https://mariadb.com/kb/en/library/optimization-and-tuning/) * [PostgreSQL Wiki](https://wiki.postgresql.org/wiki/Performance_Optimization) Re-creation of indexes, changed column values, etc. will increase the database size. Ensure to add health checks for this, and monitor the trend in your Grafana dashboards. In order to optimize the tables, there are different approaches. Always keep in mind to have a current backup and schedule maintenance downtime for these kind of tasks! MySQL: ``` mariadb> OPTIMIZE TABLE icinga_statehistory; ``` > **Important** > > Tables might not support optimization at runtime. This can take a **long** time. > > `Table does not support optimize, doing recreate + analyze instead`. If you want to optimize all tables in a specified database, there is a script called `mysqlcheck`. This also allows to repair broken tables in the case of emergency. ```bash mysqlcheck --optimize icinga ``` PostgreSQL: ``` icinga=# vacuum; VACUUM ``` > **Note** > > Don't use `VACUUM FULL` as this has a severe impact on performance. ## Metrics Whenever a host or service check is executed, or received via the REST API, best practice is to provide performance data. This data is parsed by features sending metrics to time series databases (TSDB): * [Graphite](14-features.md#graphite-carbon-cache-writer) * [InfluxDB](14-features.md#influxdb-writer) * [OpenTSDB](14-features.md#opentsdb-writer) Metrics, state changes and notifications can be managed with the following integrations: * [Elastic Stack](14-features.md#elastic-stack-integration) * [Graylog](14-features.md#graylog-integration) ### Graphite Writer [Graphite](13-addons.md#addons-graphing-graphite) is a tool stack for storing metrics and needs to be running prior to enabling the `graphite` feature. Icinga 2 writes parsed metrics directly to Graphite's Carbon Cache TCP port, defaulting to `2003`. You can enable the feature using ```bash icinga2 feature enable graphite ``` By default the [GraphiteWriter](09-object-types.md#objecttype-graphitewriter) feature expects the Graphite Carbon Cache to listen at `127.0.0.1` on TCP port `2003`. #### Graphite Schema The current naming schema is defined as follows. The [Icinga Web 2 Graphite module](https://icinga.com/products/integrations/graphite/) depends on this schema. The default prefix for hosts and services is configured using [runtime macros](03-monitoring-basics.md#runtime-macros)like this: ``` icinga2.$host.name$.host.$host.check_command$ icinga2.$host.name$.services.$service.name$.$service.check_command$ ``` You can customize the prefix name by using the `host_name_template` and `service_name_template` configuration attributes. The additional levels will allow fine granular filters and also template capabilities, e.g. by using the check command `disk` for specific graph templates in web applications rendering the Graphite data. The following characters are escaped in prefix labels: Character | Escaped character --------------|-------------------------- whitespace | _ . | _ \ | _ / | _ Metric values are stored like this: ``` .perfdata..value ``` The following characters are escaped in performance labels parsed from plugin output: Character | Escaped character --------------|-------------------------- whitespace | _ \ | _ / | _ :: | . Note that labels may contain dots (`.`) allowing to add more subsequent levels inside the Graphite tree. `::` adds support for [multi performance labels](http://my-plugin.de/wiki/projects/check_multi/configuration/performance) and is therefore replaced by `.`. By enabling `enable_send_thresholds` Icinga 2 automatically adds the following threshold metrics: ``` .perfdata..min .perfdata..max .perfdata..warn .perfdata..crit ``` By enabling `enable_send_metadata` Icinga 2 automatically adds the following metadata metrics: ``` .metadata.current_attempt .metadata.downtime_depth .metadata.acknowledgement .metadata.execution_time .metadata.latency .metadata.max_check_attempts .metadata.reachable .metadata.state .metadata.state_type ``` Metadata metric overview: metric | description -------------------|------------------------------------------ current_attempt | current check attempt max_check_attempts | maximum check attempts until the hard state is reached reachable | checked object is reachable downtime_depth | number of downtimes this object is in acknowledgement | whether the object is acknowledged or not execution_time | check execution time latency | check latency state | current state of the checked object state_type | 0=SOFT, 1=HARD state The following example illustrates how to configure the storage schemas for Graphite Carbon Cache. ``` [icinga2_default] # intervals like PNP4Nagios uses them per default pattern = ^icinga2\. retentions = 1m:2d,5m:10d,30m:90d,360m:4y ``` #### Graphite in Cluster HA Zones The Graphite feature supports [high availability](06-distributed-monitoring.md#distributed-monitoring-high-availability-features) in cluster zones since 2.11. By default, all endpoints in a zone will activate the feature and start writing metrics to a Carbon Cache socket. In HA enabled scenarios, it is possible to set `enable_ha = true` in all feature configuration files. This allows each endpoint to calculate the feature authority, and only one endpoint actively writes metrics, the other endpoints pause the feature. When the cluster connection breaks at some point, the remaining endpoint(s) in that zone will automatically resume the feature. This built-in failover mechanism ensures that metrics are written even if the cluster fails. The recommended way of running Graphite in this scenario is a dedicated server where Carbon Cache/Relay is running as receiver. ### InfluxDB Writer Once there are new metrics available, Icinga 2 will directly write them to the defined InfluxDB v1/v2 HTTP API. You can enable the feature using ```bash icinga2 feature enable influxdb ``` or ```bash icinga2 feature enable influxdb2 ``` By default the [InfluxdbWriter](09-object-types.md#objecttype-influxdbwriter)/[Influxdb2Writer](09-object-types.md#objecttype-influxdb2writer) features expect the InfluxDB daemon to listen at `127.0.0.1` on port `8086`. Measurement names and tags are fully configurable by the end user. The Influxdb(2)Writer object will automatically add a `metric` tag to each data point. This correlates to the perfdata label. Fields (value, warn, crit, min, max, unit) are created from data if available and the configuration allows it. If a value associated with a tag is not able to be resolved, it will be dropped and not sent to the target host. Backslashes are allowed in tag keys, tag values and field keys, however they are also escape characters when followed by a space or comma, but cannot be escaped themselves. As a result all trailling slashes in these fields are replaced with an underscore. This predominantly affects Windows paths e.g. `C:\` becomes `C:_`. The database/bucket is assumed to exist so this object will make no attempt to create it currently. If [SELinux](22-selinux.md#selinux) is enabled, it will not allow access for Icinga 2 to InfluxDB until the [boolean](22-selinux.md#selinux-policy-booleans) `icinga2_can_connect_all` is set to true as InfluxDB is not providing its own policy. More configuration details can be found [here for v1](09-object-types.md#objecttype-influxdbwriter) and [here for v2](09-object-types.md#objecttype-influxdb2writer). #### Instance Tagging Consider the following service check: ``` apply Service "disk" for (disk => attributes in host.vars.disks) { import "generic-service" check_command = "disk" display_name = "Disk " + disk vars.disk_partitions = disk assign where host.vars.disks } ``` This is a typical pattern for checking individual disks, NICs, TLS certificates etc associated with a host. What would be useful is to have the data points tagged with the specific instance for that check. This would allow you to query time series data for a check on a host and for a specific instance e.g. /dev/sda. To do this quite simply add the instance to the service variables: ``` apply Service "disk" for (disk => attributes in host.vars.disks) { ... vars.instance = disk ... } ``` Then modify your writer configuration to add this tag to your data points if the instance variable is associated with the service: ``` object InfluxdbWriter "influxdb" { ... service_template = { measurement = "$service.check_command$" tags = { hostname = "$host.name$" service = "$service.name$" instance = "$service.vars.instance$" } } ... } ``` #### InfluxDB in Cluster HA Zones The InfluxDB feature supports [high availability](06-distributed-monitoring.md#distributed-monitoring-high-availability-features) in cluster zones since 2.11. By default, all endpoints in a zone will activate the feature and start writing metrics to the InfluxDB HTTP API. In HA enabled scenarios, it is possible to set `enable_ha = true` in all feature configuration files. This allows each endpoint to calculate the feature authority, and only one endpoint actively writes metrics, the other endpoints pause the feature. When the cluster connection breaks at some point, the remaining endpoint(s) in that zone will automatically resume the feature. This built-in failover mechanism ensures that metrics are written even if the cluster fails. The recommended way of running InfluxDB in this scenario is a dedicated server where the InfluxDB HTTP API or Telegraf as Proxy are running. ### Elastic Stack Integration [Icingabeat](https://icinga.com/products/integrations/elastic/) is an Elastic Beat that fetches data from the Icinga 2 API and sends it either directly to [Elasticsearch](https://www.elastic.co/products/elasticsearch) or [Logstash](https://www.elastic.co/products/logstash). More integrations: * [Logstash output](https://icinga.com/products/integrations/elastic/) for the Icinga 2 API. * [Logstash Grok Pattern](https://icinga.com/products/integrations/elastic/) for Icinga 2 logs. #### Elasticsearch Writer This feature forwards check results, state changes and notification events to an [Elasticsearch](https://www.elastic.co/products/elasticsearch) installation over its HTTP API. The check results include parsed performance data metrics if enabled. > **Note** > > Elasticsearch 5.x or 6.x are required. This feature has been successfully tested with > Elasticsearch 5.6.7 and 6.3.1. Enable the feature and restart Icinga 2. ```bash icinga2 feature enable elasticsearch ``` The default configuration expects an Elasticsearch instance running on `localhost` on port `9200` and writes to an index called `icinga2`. More configuration details can be found [here](09-object-types.md#objecttype-elasticsearchwriter). #### Current Elasticsearch Schema The following event types are written to Elasticsearch: * icinga2.event.checkresult * icinga2.event.statechange * icinga2.event.notification Performance data metrics must be explicitly enabled with the `enable_send_perfdata` attribute. Metric values are stored like this: ``` check_result.perfdata..value ``` The following characters are escaped in perfdata labels: Character | Escaped character ------------|-------------------------- whitespace | _ \ | _ / | _ :: | . Note that perfdata labels may contain dots (`.`) allowing to add more subsequent levels inside the tree. `::` adds support for [multi performance labels](http://my-plugin.de/wiki/projects/check_multi/configuration/performance) and is therefore replaced by `.`. Icinga 2 automatically adds the following threshold metrics if existing: ``` check_result.perfdata..min check_result.perfdata..max check_result.perfdata..warn check_result.perfdata..crit ``` #### Elasticsearch in Cluster HA Zones The Elasticsearch feature supports [high availability](06-distributed-monitoring.md#distributed-monitoring-high-availability-features) in cluster zones since 2.11. By default, all endpoints in a zone will activate the feature and start writing events to the Elasticsearch HTTP API. In HA enabled scenarios, it is possible to set `enable_ha = true` in all feature configuration files. This allows each endpoint to calculate the feature authority, and only one endpoint actively writes events, the other endpoints pause the feature. When the cluster connection breaks at some point, the remaining endpoint(s) in that zone will automatically resume the feature. This built-in failover mechanism ensures that events are written even if the cluster fails. The recommended way of running Elasticsearch in this scenario is a dedicated server where you either have the Elasticsearch HTTP API, or a TLS secured HTTP proxy, or Logstash for additional filtering. ### Graylog Integration #### GELF Writer The `Graylog Extended Log Format` (short: [GELF](https://docs.graylog.org/en/latest/pages/gelf.html)) can be used to send application logs directly to a TCP socket. While it has been specified by the [Graylog](https://www.graylog.org) project as their [input resource standard](https://docs.graylog.org/en/latest/pages/sending_data.html), other tools such as [Logstash](https://www.elastic.co/products/logstash) also support `GELF` as [input type](https://www.elastic.co/guide/en/logstash/current/plugins-inputs-gelf.html). You can enable the feature using ```bash icinga2 feature enable gelf ``` By default the `GelfWriter` object expects the GELF receiver to listen at `127.0.0.1` on TCP port `12201`. The default `source` attribute is set to `icinga2`. You can customize that for your needs if required. Currently these events are processed: * Check results * State changes * Notifications #### Graylog/GELF in Cluster HA Zones The Gelf feature supports [high availability](06-distributed-monitoring.md#distributed-monitoring-high-availability-features) in cluster zones since 2.11. By default, all endpoints in a zone will activate the feature and start writing events to the Graylog HTTP API. In HA enabled scenarios, it is possible to set `enable_ha = true` in all feature configuration files. This allows each endpoint to calculate the feature authority, and only one endpoint actively writes events, the other endpoints pause the feature. When the cluster connection breaks at some point, the remaining endpoint(s) in that zone will automatically resume the feature. This built-in failover mechanism ensures that events are written even if the cluster fails. The recommended way of running Graylog in this scenario is a dedicated server where you have the Graylog HTTP API listening. ### OpenTSDB Writer While there are some OpenTSDB collector scripts and daemons like tcollector available for Icinga 1.x it's more reasonable to directly process the check and plugin performance in memory in Icinga 2. Once there are new metrics available, Icinga 2 will directly write them to the defined TSDB TCP socket. You can enable the feature using ```bash icinga2 feature enable opentsdb ``` By default the `OpenTsdbWriter` object expects the TSD to listen at `127.0.0.1` on port `4242`. The current default naming schema is: ``` icinga.host. icinga.service.. ``` for host and service checks. The tag `host` is always applied. Icinga also sends perfdata warning, critical, minimum and maximum threshold values to OpenTSDB. These are stored as new OpenTSDB metric names appended with `_warn`, `_crit`, `_min`, `_max`. Values are only stored when the corresponding threshold exists in Icinga's perfdata. Example: ``` icinga.service.. icinga.service..._warn icinga.service..._crit icinga.service..._min icinga.service..._max ``` To make sure Icinga 2 writes a valid metric into OpenTSDB some characters are replaced with `_` in the target name: ``` \ : (and space) ``` The resulting name in OpenTSDB might look like: ``` www-01 / http-cert / response time icinga.http_cert.response_time ``` In addition to the performance data retrieved from the check plugin, Icinga 2 sends internal check statistic data to OpenTSDB: metric | description -------------------|------------------------------------------ current_attempt | current check attempt max_check_attempts | maximum check attempts until the hard state is reached reachable | checked object is reachable downtime_depth | number of downtimes this object is in acknowledgement | whether the object is acknowledged or not execution_time | check execution time latency | check latency state | current state of the checked object state_type | 0=SOFT, 1=HARD state While reachable, state and state_type are metrics for the host or service the other metrics follow the current naming schema ``` icinga.check. ``` with the following tags tag | description --------|------------------------------------------ type | the check type, one of [host, service] host | hostname, the check ran on service | the service name (if type=service) > **Note** > > You might want to set the tsd.core.auto_create_metrics setting to `true` > in your opentsdb.conf configuration file. #### OpenTSDB Metric Prefix Functionality exists to modify the built in OpenTSDB metric names that the plugin writes to. By default this is `icinga.host` and `icinga.service.`. These prefixes can be modified as necessary to any arbitary string. The prefix configuration also supports Icinga macros, so if you rather use `` or any other variable instead of `` you may do so. To configure OpenTSDB metric name prefixes, create or modify the `host_template` and/or `service_template` blocks in the `opentsdb.conf` file, to add a `metric` definition. These modifications go hand in hand with the **OpenTSDB Custom Tag Support** detailed below, and more information around macro use can be found there. Additionally, using custom Metric Prefixes or your own macros in the prefix may be helpful if you are using the **OpenTSDB Generic Metric** functionality detailed below. An example configuration which includes prefix name modification: ``` object OpenTsdbWriter "opentsdb" { host = "127.0.0.1" port = 4242 host_template = { metric = "icinga.myhost" tags = { location = "$host.vars.location$" checkcommand = "$host.check_command$" } } service_template = { metric = "icinga.service.$service.check_command$" } } ``` The above configuration will output the following naming schema: ``` icinga.myhost. icinga.service.. ``` Note how `` is always appended in the default naming schema mode. #### OpenTSDB Generic Metric Naming Schema An alternate naming schema (`Generic Metrics`) is available where OpenTSDB metric names are more generic and do not include the Icinga perfdata label in the metric name. Instead, perfdata labels are stored in a tag `label` which is stored along with each perfdata value. This ultimately reduces the number of unique OpenTSDB metric names which may make querying aggregate data easier. This also allows you to store all perfdata values for a particular check inside one OpenTSDB metric name for each check. This alternate naming schema can be enabled by setting the following in the OpenTSDBWriter config: `enable_generic_metrics = true` > **Tip** > Consider using `Generic Metrics` along with the **OpenTSDB Metric Prefix** naming options > described above An example of this naming schema when compared to the default is: ``` icinga.host icinga.service. ``` > **Note** > Note how `` does not appear in the OpenTSDB metric name > when using `Generic Metrics`. Instead, a new tag `label` appears on each value written > to OpenTSDB which contains the perfdata label. #### Custom Tags In addition to the default tags listed above, it is possible to send your own custom tags with your data to OpenTSDB. Note that custom tags are sent **in addition** to the default hostname, type and service name tags. If you do not include this section in the config file, no custom tags will be included. Custom tags can be custom attributes or built in attributes. Consider a host object: ``` object Host "my-server1" { address = "10.0.0.1" check_command = "hostalive" vars.location = "Australia" } ``` and a service object: ``` object Service "ping" { host_name = "localhost" check_command = "my-ping" vars.ping_packets = 10 } ``` It is possible to send `vars.location` and `vars.ping_packets` along with performance data. Additionally, any other attribute can be sent as a tag, such as `check_command`. You can make use of the `host_template` and `service_template` blocks in the `opentsdb.conf` configuration file. An example OpenTSDB configuration file which makes use of custom tags: ``` object OpenTsdbWriter "opentsdb" { host = "127.0.0.1" port = 4242 host_template = { tags = { location = "$host.vars.location$" checkcommand = "$host.check_command$" } } service_template = { tags = { location = "$host.vars.location$" pingpackets = "$service.vars.ping_packets$" checkcommand = "$service.check_command$" } } } ``` Depending on what keyword the macro begins with, will determine what attributes are available in the macro context. The below table explains what attributes are available with links to each object type. start of macro | description ---------------|------------------------------------------ \$host...$ | Attributes available on a [Host object](09-object-types.md#objecttype-host) \$service...$ | Attributes available on a [Service object](09-object-types.md#objecttype-service) \$icinga...$ | Attributes available on the [IcingaApplication object](09-object-types.md#objecttype-icingaapplication) > **Note** > > Ensure you do not name your custom attributes with a dot in the name. > Dots located inside a macro tell the interpreter to expand a > dictionary. > > Do not do this in your object configuration: > > `vars["my.attribute"]` > > as you will be unable to reference `my.attribute` because it is not a > dictionary. > > Instead, use underscores or another character: > > `vars.my_attribute` or `vars["my_attribute"]` #### OpenTSDB in Cluster HA Zones The OpenTSDB feature supports [high availability](06-distributed-monitoring.md#distributed-monitoring-high-availability-features) in cluster zones since 2.11. By default, all endpoints in a zone will activate the feature and start writing events to the OpenTSDB listener. In HA enabled scenarios, it is possible to set `enable_ha = true` in all feature configuration files. This allows each endpoint to calculate the feature authority, and only one endpoint actively writes metrics, the other endpoints pause the feature. When the cluster connection breaks at some point, the remaining endpoint(s) in that zone will automatically resume the feature. This built-in failover mechanism ensures that metrics are written even if the cluster fails. The recommended way of running OpenTSDB in this scenario is a dedicated server where you have OpenTSDB running. ### Writing Performance Data Files PNP and Graphios use performance data collector daemons to fetch the current performance files for their backend updates. Therefore the Icinga 2 [PerfdataWriter](09-object-types.md#objecttype-perfdatawriter) feature allows you to define the output template format for host and services helped with Icinga 2 runtime vars. ``` host_format_template = "DATATYPE::HOSTPERFDATA\tTIMET::$icinga.timet$\tHOSTNAME::$host.name$\tHOSTPERFDATA::$host.perfdata$\tHOSTCHECKCOMMAND::$host.check_command$\tHOSTSTATE::$host.state$\tHOSTSTATETYPE::$host.state_type$" service_format_template = "DATATYPE::SERVICEPERFDATA\tTIMET::$icinga.timet$\tHOSTNAME::$host.name$\tSERVICEDESC::$service.name$\tSERVICEPERFDATA::$service.perfdata$\tSERVICECHECKCOMMAND::$service.check_command$\tHOSTSTATE::$host.state$\tHOSTSTATETYPE::$host.state_type$\tSERVICESTATE::$service.state$\tSERVICESTATETYPE::$service.state_type$" ``` The default templates are already provided with the Icinga 2 feature configuration which can be enabled using ```bash icinga2 feature enable perfdata ``` By default all performance data files are rotated in a 15 seconds interval into the `/var/spool/icinga2/perfdata/` directory as `host-perfdata.` and `service-perfdata.`. External collectors need to parse the rotated performance data files and then remove the processed files. #### Perfdata Files in Cluster HA Zones The Perfdata feature supports [high availability](06-distributed-monitoring.md#distributed-monitoring-high-availability-features) in cluster zones since 2.11. By default, all endpoints in a zone will activate the feature and start writing metrics to the local spool directory. In HA enabled scenarios, it is possible to set `enable_ha = true` in all feature configuration files. This allows each endpoint to calculate the feature authority, and only one endpoint actively writes metrics, the other endpoints pause the feature. When the cluster connection breaks at some point, the remaining endpoint(s) in that zone will automatically resume the feature. This built-in failover mechanism ensures that metrics are written even if the cluster fails. The recommended way of running Perfdata is to mount the perfdata spool directory via NFS on a central server where PNP with the NPCD collector is running on. ## Deprecated Features ### Status Data Files > **Note** > > This feature is DEPRECATED and may be removed in future releases. > Check the [roadmap](https://github.com/Icinga/icinga2/milestones). Icinga 1.x writes object configuration data and status data in a cyclic interval to its `objects.cache` and `status.dat` files. Icinga 2 provides the `StatusDataWriter` object which dumps all configuration objects and status updates in a regular interval. ```bash icinga2 feature enable statusdata ``` If you are not using any web interface or addon which uses these files, you can safely disable this feature. ### Compat Log Files > **Note** > > This feature is DEPRECATED and may be removed in future releases. > Check the [roadmap](https://github.com/Icinga/icinga2/milestones). The Icinga 1.x log format is considered being the `Compat Log` in Icinga 2 provided with the `CompatLogger` object. These logs are used for informational representation in external web interfaces parsing the logs, but also to generate SLA reports and trends. The [Livestatus](14-features.md#setting-up-livestatus) feature uses these logs for answering queries to historical tables. The `CompatLogger` object can be enabled with ```bash icinga2 feature enable compatlog ``` By default, the Icinga 1.x log file called `icinga.log` is located in `/var/log/icinga2/compat`. Rotated log files are moved into `var/log/icinga2/compat/archives`. ### External Command Pipe > **Note** > > Please use the [REST API](12-icinga2-api.md#icinga2-api) as modern and secure alternative > for external actions. > **Note** > > This feature is DEPRECATED and may be removed in future releases. > Check the [roadmap](https://github.com/Icinga/icinga2/milestones). Icinga 2 provides an external command pipe for processing commands triggering specific actions (for example rescheduling a service check through the web interface). In order to enable the `ExternalCommandListener` configuration use the following command and restart Icinga 2 afterwards: ```bash icinga2 feature enable command ``` Icinga 2 creates the command pipe file as `/var/run/icinga2/cmd/icinga2.cmd` using the default configuration. Web interfaces and other Icinga addons are able to send commands to Icinga 2 through the external command pipe, for example for rescheduling a forced service check: ``` # /bin/echo "[`date +%s`] SCHEDULE_FORCED_SVC_CHECK;localhost;ping4;`date +%s`" >> /var/run/icinga2/cmd/icinga2.cmd # tail -f /var/log/messages Oct 17 15:01:25 icinga-server icinga2: Executing external command: [1382014885] SCHEDULE_FORCED_SVC_CHECK;localhost;ping4;1382014885 Oct 17 15:01:25 icinga-server icinga2: Rescheduling next check for service 'ping4' ``` A list of currently supported external commands can be found [here](24-appendix.md#external-commands-list-detail). Detailed information on the commands and their required parameters can be found on the [Icinga 1.x documentation](https://docs.icinga.com/latest/en/extcommands2.html). ### Check Result Files > **Note** > > This feature is DEPRECATED and may be removed in future releases. > Check the [roadmap](https://github.com/Icinga/icinga2/milestones). Icinga 1.x writes its check result files to a temporary spool directory where they are processed in a regular interval. While this is extremely inefficient in performance regards it has been rendered useful for passing passive check results directly into Icinga 1.x skipping the external command pipe. Several clustered/distributed environments and check-aggregation addons use that method. In order to support step-by-step migration of these environments, Icinga 2 supports the `CheckResultReader` object. There is no feature configuration available, but it must be defined on-demand in your Icinga 2 objects configuration. ``` object CheckResultReader "reader" { spool_dir = "/data/check-results" } ``` ### Livestatus > **Note** > > This feature is DEPRECATED and may be removed in future releases. > Check the [roadmap](https://github.com/Icinga/icinga2/milestones). The [MK Livestatus](https://mathias-kettner.de/checkmk_livestatus.html) project implements a query protocol that lets users query their Icinga instance for status information. It can also be used to send commands. The Livestatus component that is distributed as part of Icinga 2 is a re-implementation of the Livestatus protocol which is compatible with MK Livestatus. > **Tip** > > Only install the Livestatus feature if your web interface or addon requires > you to do so. > [Icinga Web 2](https://icinga.com/docs/icinga-web-2/latest/doc/02-Installation/) does not need > Livestatus. Details on the available tables and attributes with Icinga 2 can be found in the [Livestatus Schema](24-appendix.md#schema-livestatus) section. You can enable Livestatus using icinga2 feature enable: ```bash icinga2 feature enable livestatus ``` After that you will have to restart Icinga 2: ```bash systemctl restart icinga2 ``` By default the Livestatus socket is available in `/var/run/icinga2/cmd/livestatus`. In order for queries and commands to work you will need to add your query user (e.g. your web server) to the `icingacmd` group: ```bash usermod -a -G icingacmd www-data ``` The Debian packages use `nagios` as the user and group name. Make sure to change `icingacmd` to `nagios` if you're using Debian. Change `www-data` to the user you're using to run queries. In order to use the historical tables provided by the livestatus feature (for example, the `log` table) you need to have the `CompatLogger` feature enabled. By default these logs are expected to be in `/var/log/icinga2/compat`. A different path can be set using the `compat_log_path` configuration attribute. ```bash icinga2 feature enable compatlog ``` #### Livestatus Sockets Other to the Icinga 1.x Addon, Icinga 2 supports two socket types * Unix socket (default) * TCP socket Details on the configuration can be found in the [LivestatusListener](09-object-types.md#objecttype-livestatuslistener) object configuration. #### Livestatus GET Queries > **Note** > > All Livestatus queries require an additional empty line as query end identifier. > The `nc` tool (`netcat`) provides the `-U` parameter to communicate using > a unix socket. There also is a Perl module available in CPAN for accessing the Livestatus socket programmatically: [Monitoring::Livestatus](https://metacpan.org/release/NIERLEIN/Monitoring-Livestatus-0.74) Example using the unix socket: ``` # echo -e "GET services\n" | /usr/bin/nc -U /var/run/icinga2/cmd/livestatus Example using the tcp socket listening on port `6558`: # echo -e 'GET services\n' | netcat 127.0.0.1 6558 # cat servicegroups < A list of available external commands and their parameters can be found [here](24-appendix.md#external-commands-list-detail) ```bash echo -e 'COMMAND ' | netcat 127.0.0.1 6558 ``` #### Livestatus Filters and, or, negate Operator | Negate | Description ----------|----------|------------- = | != | Equality ~ | !~ | Regex match =~ | !=~ | Equality ignoring case ~~ | !~~ | Regex ignoring case < | | Less than > | | Greater than <= | | Less than or equal >= | | Greater than or equal #### Livestatus Stats Schema: "Stats: aggregatefunction aggregateattribute" Aggregate Function | Description -------------------|-------------- sum |   min |   max |   avg | sum / count std | standard deviation suminv | sum (1 / value) avginv | suminv / count count | ordinary default for any stats query if not aggregate function defined Example: ``` GET hosts Filter: has_been_checked = 1 Filter: check_type = 0 Stats: sum execution_time Stats: sum latency Stats: sum percent_state_change Stats: min execution_time Stats: min latency Stats: min percent_state_change Stats: max execution_time Stats: max latency Stats: max percent_state_change OutputFormat: json ResponseHeader: fixed16 ``` #### Livestatus Output * CSV CSV output uses two levels of array separators: The members array separator is a comma (1st level) while extra info and host|service relation separator is a pipe (2nd level). Separators can be set using ASCII codes like: ``` Separators: 10 59 44 124 ``` * JSON Default separators. #### Livestatus Error Codes Code | Description ----------|-------------- 200 | OK 404 | Table does not exist 452 | Exception on query #### Livestatus Tables Table | Join |Description --------------|-----------|---------------------------- hosts |   | host config and status attributes, services counter hostgroups |   | hostgroup config, status attributes and host/service counters services | hosts | service config and status attributes servicegroups |   | servicegroup config, status attributes and service counters contacts |   | contact config and status attributes contactgroups |   | contact config, members commands |   | command name and line status |   | programstatus, config and stats comments | services | status attributes downtimes | services | status attributes timeperiods |   | name and is inside flag endpoints |   | config and status attributes log | services, hosts, contacts, commands | parses [compatlog](09-object-types.md#objecttype-compatlogger) and shows log attributes statehist | hosts, services | parses [compatlog](09-object-types.md#objecttype-compatlogger) and aggregates state change attributes hostsbygroup | hostgroups | host attributes grouped by hostgroup and its attributes servicesbygroup | servicegroups | service attributes grouped by servicegroup and its attributes servicesbyhostgroup | hostgroups | service attributes grouped by hostgroup and its attributes The `commands` table is populated with `CheckCommand`, `EventCommand` and `NotificationCommand` objects. A detailed list on the available table attributes can be found in the [Livestatus Schema documentation](24-appendix.md#schema-livestatus).