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Azure Kubernetes Service

Azure Kubernetes Service (AKS) simplifies deploying a managed Kubernetes cluster in Azure by offloading the operational overhead to Azure. As a hosted Kubernetes service, Azure handles critical tasks, like health monitoring and maintenance.

The Centreon Plugin Azure Kubernetes Service can rely on Azure API or Azure CLI to collect the metrics related to the AKS service.

Pack assets​

Templates​

The Monitoring Connector Azure Kubernetes Service brings a host template:

  • Cloud-Azure-Compute-Aks-custom

The connector brings the following service templates (sorted by the host template they are attached to):

Service AliasService TemplateService Description
Allocatable-resourcesCloud-Azure-Compute-Aks-Allocatable-Resources-Api-customCheck memory and CPU cores allocatable for AKS cluster
Cpu-UsageCloud-Azure-Compute-Aks-Cpu-Usage-Api-customMonitor the CPU usage of the AKS cluster
HealthCloud-Azure-Compute-Aks-Health-Api-customCheck AKS cluster state
MemoryCloud-Azure-Compute-Aks-Memory-Api-customMonitors the memory usage of the AKS cluster
Node-StateCloud-Azure-Compute-Aks-Node-State-Api-customMonitors the state of the AKS cluster nodes
Pod-StateCloud-Azure-Compute-Aks-Pod-State-Api-customMonitors the state of the AKS cluster Pods
StorageCloud-Azure-Compute-Aks-Storage-Api-customCheck AKS Cluster storage
TrafficCloud-Azure-Compute-Aks-Traffic-Api-customCheck AKS cluster network usage
Unneeded-nodesCloud-Azure-Compute-Aks-Unneeded-Nodes-Api-customCheck amount of unneeded nodes on AKS cluster
Unschedulable-PodsCloud-Azure-Compute-Aks-Unschedulable-Pods-Api-customMonitors the presence of unschedulable Pods on the AKS cluster

The services listed above are created automatically when the Cloud-Azure-Compute-Aks-custom host template is used.

Discovery rules​

Host discovery​

The Centreon Monitoring Connector Azure Kubernetes Service includes a Host Discovery provider to automatically discover the Azure instances of a given subscription and add them to the list of monitored hosts. This provider is named Microsoft Azure Kubernetes Service.

This discovery feature is only compatible with the api custom mode. azcli is not supported.

Go to the corresponding chapter to learn more about discovering hosts automatically.

Collected metrics & status​

Here is the list of services for this connector, detailing all metrics linked to each service.

Metric nameUnit
aks.node.allocatable.cpu.coresN/A
aks.node.allocatable.memory.bytesB

Prerequisites​

Please find all the prerequisites needed for Centreon to get information from Azure on the dedicated page.

Installing the monitoring connector​

Pack​

  1. If the platform uses an online license, you can skip the package installation instruction below as it is not required to have the connector displayed within the Configuration > Monitoring Connector Manager menu. If the platform uses an offline license, install the package on the central server with the command corresponding to the operating system's package manager:
dnf install centreon-pack-cloud-azure-compute-aks
  1. Whatever the license type (online or offline), install the Azure Kubernetes Service connector through the Configuration > Monitoring Connectors Manager menu.

Plugin​

Since Centreon 22.04, you can benefit from the 'Automatic plugin installation' feature. When this feature is enabled, you can skip the installation part below.

You still have to manually install the plugin on the poller(s) when:

  • Automatic plugin installation is turned off
  • You want to run a discovery job from a poller that doesn't monitor any resource of this kind yet

More information in the Installing the plugin section.

Use the commands below according to your operating system's package manager:

dnf install centreon-plugin-Cloud-Azure-Compute-Aks-Api

Using the monitoring connector​

Using a host template provided by the connector​

  1. Log into Centreon and add a new host through Configuration > Hosts.
  2. In the IP Address/DNS field, set the following IP address: 127.0.0.1.
  3. Apply the Cloud-Azure-Compute-Aks-custom template to the host. A list of macros appears. Macros allow you to define how the connector will connect to the resource, and to customize the connector's behavior.
  4. Fill in the macros you want. Some macros are mandatory. For example, for this connector, you must define the AZURECUSTOMMODE macros (possible values are api or azcli). Indeed, 2 modes of communication can be used with this resource: either using the command tool azcli, or by querying the API directly.
MacroDescriptionDefault valueMandatory
AZURECLIENTIDSet Azure client IDX
AZURECLIENTSECRETSet Azure client secretX
AZURECUSTOMMODEWhen a plugin offers several ways (CLI, library, etc.) to get information the desired one must be defined with this optionapi
AZURERESOURCESet resource name or ID (required)
AZURERESOURCEGROUPSet resource group (required if resource's name is used)X
AZURESUBSCRIPTIONSet Azure subscription (required if logged to several subscriptions)X
AZURETENANTSet Azure tenant IDX
PROXYURLProxy URL if any
EXTRAOPTIONSAny extra option you may want to add to every command (a --verbose flag for example). All options are listed here.

Set the following options in the EXTRAOPTIONS macro if you are monitoring resource from Microsoft Azure operated by 21Vianet (Azure China): --management-endpoint='https://management.chinacloudapi.cn' --login-endpoint='https://login.partner.microsoftonline.cn'.

Two methods can be used to define the authentication:

  • Full ID of the Resource (/subscriptions/<subscription_id>/resourceGroups/<resourcegroup_id>/providers/XXXXX/XXXXX/<resource_name>) in the AZURERESOURCE macro.
  • Resource name in the AZURERESOURCE macro, and resource group name in the AZURERESOURCEGROUP macro.
  1. Deploy the configuration. The host appears in the list of hosts, and on the Resources Status page. The command that is sent by the connector is displayed in the details panel of the host: it shows the values of the macros.

Using a service template provided by the connector​

  1. If you have used a host template and checked Create Services linked to the Template too, the services linked to the template have been created automatically, using the corresponding service templates. Otherwise, create manually the services you want and apply a service template to them.
  2. Fill in the macros you want (e.g. to change the thresholds for the alerts). Some macros are mandatory (see the table below).
MacroDescriptionDefault valueMandatory
TIMEFRAMESet timeframe in seconds (i.e. 3600 to check last hour)900
INTERVALSet interval of the metric query (can be : PT1M, PT5M, PT15M, PT30M, PT1H, PT6H, PT12H, PT24H)PT5M
FILTERMETRICFilter metrics (available metrics: 'Allocatable CPU Cores', 'Allocatable Memory Bytes') (can be a regexp).
WARNINGALLOCATABLECPUCORESSet warning threshold for number of remaining allocatable CPU Cores. It is a range, set 10: to get WARNING if there are less than 10 CPU cores allocatable remaining
CRITICALALLOCATABLECPUCORESSet critical threshold for number of remaining allocatable CPU Cores. It is a range, set 5: to get CRITICAL if there are less than 5 CPU cores allocatable remaining
WARNINGALLOCATABLEMEMORYSet warning threshold for remaining allocatable memory in bytes. It is a range, set 16GB: to get WARNING if there are less than 16GB allocatable left
CRITICALALLOCATABLEMEMORYSet critical threshold for remaining allocatable memory in bytes. It is a range, set 8GB: to get CRITICAL if there are less than 8GB allocatable left
EXTRAOPTIONSAny extra option you may want to add to the command (a --verbose flag for example). All options are listed here.
  1. Deploy the configuration. The service appears in the list of services, and on the Resources Status page. The command that is sent by the connector is displayed in the details panel of the service: it shows the values of the macros.

How to check in the CLI that the configuration is OK and what are the main options for?​

Once the plugin is installed, log into your Centreon poller's CLI using the centreon-engine user account (su - centreon-engine). Test that the connector is able to monitor an Azure Instance using a command like this one (replace the sample values by yours):

/usr/lib/centreon/plugins/centreon_azure_compute_aks_api.pl \
    --plugin=cloud::azure::compute::aks::plugin \
    --mode=unschedulable-pods \
    --custommode='api' \
    --resource='' \
    --resource-group='' \
    --subscription='' \
    --tenant='' \
    --client-id='' \
    --client-secret='' \
    --proxyurl=''  \
    --warning-unschedulable-pods='' \
    --critical-unschedulable-pods=''

The expected command output is shown below:

OK: Cluster Autoscaler Unschedulable Pods: 8 | 'aks.cluster.autoscaler.unschedulable.pods.count'=8;;;0;

Troubleshooting​

Please find the troubleshooting documentation for the API-based plugins in this chapter.

Available modes​

In most cases, a mode corresponds to a service template. The mode appears in the execution command for the connector. In the Centreon interface, you don't need to specify a mode explicitly: its use is implied when you apply a service template. However, you will need to specify the correct mode for the template if you want to test the execution command for the connector in your terminal.

All available modes can be displayed by adding the --list-mode parameter to the command:

/usr/lib/centreon/plugins/centreon_azure_compute_aks_api.pl \
    --plugin=cloud::azure::compute::aks::plugin \
    --list-mode

The plugin brings the following modes:

ModeLinked service template
allocatable-resources [code]Cloud-Azure-Compute-Aks-Allocatable-Resources-Api-custom
cpu [code]Cloud-Azure-Compute-Aks-Cpu-Usage-Api-custom
discovery [code]Used for host discovery
health [code]Cloud-Azure-Compute-Aks-Health-Api-custom
memory [code]Cloud-Azure-Compute-Aks-Memory-Api-custom
node-state [code]Cloud-Azure-Compute-Aks-Node-State-Api-custom
pod-state [code]Cloud-Azure-Compute-Aks-Pod-State-Api-custom
storage [code]Cloud-Azure-Compute-Aks-Storage-Api-custom
traffic [code]Cloud-Azure-Compute-Aks-Traffic-Api-custom
unneeded-nodes [code]Cloud-Azure-Compute-Aks-Unneeded-Nodes-Api-custom
unschedulable-pods [code]Cloud-Azure-Compute-Aks-Unschedulable-Pods-Api-custom

Available custom modes​

This connector offers several ways to connect to the resource (CLI, library, etc.), called custom modes. All available custom modes can be displayed by adding the --list-custommode parameter to the command:

/usr/lib/centreon/plugins/centreon_azure_compute_aks_api.pl \
    --plugin=cloud::azure::compute::aks::plugin \
    --list-custommode

The plugin brings the following custom modes:

  • api
  • azcli

Available options​

Generic options​

All generic options are listed here:

OptionDescription
--modeDefine the mode in which you want the plugin to be executed (see--list-mode).
--dyn-modeSpecify a mode with the module's path (advanced).
--list-modeList all available modes.
--mode-versionCheck minimal version of mode. If not, unknown error.
--versionReturn the version of the plugin.
--custommodeWhen a plugin offers several ways (CLI, library, etc.) to get information the desired one must be defined with this option.
--list-custommodeList all available custom modes.
--multipleMultiple custom mode objects. This may be required by some specific modes (advanced).
--pass-managerDefine the password manager you want to use. Supported managers are: environment, file, keepass, hashicorpvault and teampass.
--verboseDisplay extended status information (long output).
--debugDisplay debug messages.
--filter-perfdataFilter perfdata that match the regexp. Example: adding --filter-perfdata='avg' will remove all metrics that do not contain 'avg' from performance data.
--filter-perfdata-advFilter perfdata based on a "if" condition using the following variables: label, value, unit, warning, critical, min, max. Variables must be written either %{variable} or %(variable). Example: adding --filter-perfdata-adv='not (%(value) == 0 and %(max) eq "")' will remove all metrics whose value equals 0 and that don't have a maximum value.
--explode-perfdata-maxCreate a new metric for each metric that comes with a maximum limit. The new metric will be named identically with a '_max' suffix). Example: it will split 'used_prct'=26.93%;0:80;0:90;0;100 into 'used_prct'=26.93%;0:80;0:90;0;100 'used_prct_max'=100%;;;;
--change-perfdata --extend-perfdataChange or extend perfdata. Syntax: --extend-perfdata=searchlabel,newlabel,target[,[newuom],[min],[m ax]] Common examples: Convert storage free perfdata into used: --change-perfdata='free,used,invert()' Convert storage free perfdata into used: --change-perfdata='used,free,invert()' Scale traffic values automatically: --change-perfdata='traffic,,scale(auto)' Scale traffic values in Mbps: --change-perfdata='traffic_in,,scale(Mbps),mbps' Change traffic values in percent: --change-perfdata='traffic_in,,percent()'
--extend-perfdata-groupAdd new aggregated metrics (min, max, average or sum) for groups of metrics defined by a regex match on the metrics' names. Syntax: --extend-perfdata-group=regex,namesofnewmetrics,calculation[,[ne wuom],[min],[max]] regex: regular expression namesofnewmetrics: how the new metrics' names are composed (can use $1, $2... for groups defined by () in regex). calculation: how the values of the new metrics should be calculated newuom (optional): unit of measure for the new metrics min (optional): lowest value the metrics can reach max (optional): highest value the metrics can reach Common examples: Sum wrong packets from all interfaces (with interface need --units-errors=absolute): --extend-perfdata-group=',packets_wrong,sum(packets_(discard |error)_(in|out))' Sum traffic by interface: --extend-perfdata-group='traffic_in_(.*),traffic_$1,sum(traf fic_(in|out)_$1)'
--change-short-output --change-long-outputModify the short/long output that is returned by the plugin. Syntax: --change-short-output=pattern~replacement~modifier Most commonly used modifiers are i (case insensitive) and g (replace all occurrences). Example: adding --change-short-output='OK~Up~gi' will replace all occurrences of 'OK', 'ok', 'Ok' or 'oK' with 'Up'
--change-exitReplace an exit code with one of your choice. Example: adding --change-exit=unknown=critical will result in a CRITICAL state instead of an UNKNOWN state.
--range-perfdataRewrite the ranges displayed in the perfdata. Accepted values: 0: nothing is changed. 1: if the lower value of the range is equal to 0, it is removed. 2: remove the thresholds from the perfdata.
--filter-uomMask the units when they don't match the given regular expression.
--opt-exitReplace the exit code in case of an execution error (i.e. wrong option provided, SSH connection refused, timeout, etc). Default: unknown.
--output-ignore-perfdataRemove all the metrics from the service. The service will still have a status and an output.
--output-ignore-labelRemove the status label ("OK:", "WARNING:", "UNKNOWN:", CRITICAL:") from the beginning of the output. Example: 'OK: Ram Total:...' will become 'Ram Total:...'
--output-xmlReturn the output in XML format (to send to an XML API).
--output-jsonReturn the output in JSON format (to send to a JSON API).
--output-openmetricsReturn the output in OpenMetrics format (to send to a tool expecting this format).
--output-fileWrite output in file (can be combined with json, xml and openmetrics options). E.g.: --output-file=/tmp/output.txt will write the output in /tmp/output.txt.
--disco-formatApplies only to modes beginning with 'list-'. Returns the list of available macros to configure a service discovery rule (formatted in XML).
--disco-showApplies only to modes beginning with 'list-'. Returns the list of discovered objects (formatted in XML) for service discovery.
--float-precisionDefine the float precision for thresholds (default: 8).
--source-encodingDefine the character encoding of the response sent by the monitored resource Default: 'UTF-8'.

Custom modes options​

All custom modes specific options are listed here:

OptionDescription
--subscriptionSet Azure subscription ID.
--tenantSet Azure tenant ID.
--client-idSet Azure client ID.
--client-secretSet Azure client secret.
--login-endpointSet Azure login endpoint URL (default: 'https://login.microsoftonline.com')
--management-endpointSet Azure management endpoint URL (default: 'https://management.azure.com')
--timeframeSet timeframe in seconds (i.e. 3600 to check last hour).
--intervalSet interval of the metric query (can be : PT1M, PT5M, PT15M, PT30M, PT1H, PT6H, PT12H, PT24H).
--aggregationDefine how the data must be aggregated. Available aggregations: 'minimum', 'maximum', 'average', 'total' and 'count'. Can be called multiple times.
--zeroedSet metrics value to 0 if they are missing. Useful when some metrics are undefined.
--timeoutSet timeout in seconds (default: 10).
--http-peer-addrSet the address you want to connect to. Useful if hostname is only a vhost, to avoid IP resolution.
--proxyurlProxy URL. Example: http://my.proxy:3128
--proxypacProxy pac file (can be a URL or a local file).
--insecureAccept insecure SSL connections.
--http-backendPerl library to use for HTTP transactions. Possible values are: lwp (default) and curl.
--ssl-optSet SSL Options (--ssl-opt="SSL_version => TLSv1" --ssl-opt="SSL_verify_mode => SSL_VERIFY_NONE").
--curl-optSet CURL Options (--curl-opt="CURLOPT_SSL_VERIFYPEER => 0" --curl-opt="CURLOPT_SSLVERSION => CURL_SSLVERSION_TLSv1_1" ).
--memcachedMemcached server to use (only one server).
--redis-serverRedis server to use (only one server). Syntax: address[:port]
--redis-attributeSet Redis Options (--redis-attribute="cnx_timeout=5").
--redis-dbSet Redis database index.
--failback-fileFailback on a local file if Redis connection fails.
--memexpirationTime to keep data in seconds (default: 86400).
--statefile-dirDefine the cache directory (default: '/var/lib/centreon/centplugins').
--statefile-suffixDefine a suffix to customize the statefile name (default: '').
--statefile-concat-cwdIf used with the '--statefile-dir' option, the latter's value will be used as a sub-directory of the current working directory. Useful on Windows when the plugin is compiled, as the file system and permissions are different from Linux.
--statefile-formatDefine the format used to store the cache. Available formats: 'dumper', 'storable', 'json' (default).
--statefile-keyDefine the key to encrypt/decrypt the cache.
--statefile-cipherDefine the cipher algorithm to encrypt the cache (default: 'AES').
--filter-dimensionSpecify the metric dimension (required for some specific metrics) Syntax example: --filter-dimension="$metricname eq '$metricvalue'"
--per-secDisplay the statistics based on a per-second period.

Modes options​

All available options for each service template are listed below:

OptionDescription
--resourceSet resource name or ID (required).
--resource-groupSet resource group (required if resource's name is used).
--warning-allocatable-memory-bytesSet warning threshold for remaining allocatable memory in bytes. It is a range, set 16GB: to get WARNING if there are less than 16GB allocatable left.
--critical-allocatable-memory-bytesSet critical threshold for remaining allocatable memory in bytes. It is a range, set 8GB: to get CRITICAL if there are less than 8GB allocatable left.
--warning-allocatable-cpu-coresSet warning threshold for number of remaining allocatable CPU Cores. It is a range, set 10: to get WARNING if there are less than 10 CPU cores allocatable remaining.
--critical-allocatable-cpu-coresSet critical threshold for number of remaining allocatable CPU Cores. It is a range, set 5: to get CRITICAL if there are less than 5 CPU cores allocatable remaining.

All available options for a given mode can be displayed by adding the --help parameter to the command:

/usr/lib/centreon/plugins/centreon_azure_compute_aks_api.pl \
    --plugin=cloud::azure::compute::aks::plugin \
    --mode=unschedulable-pods \
    --custommode='azcli' \
    --help