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Azure monitor

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Azure Monitor is a monitoring solution that collects and aggregates data for further interpretation and response.

Nobl9 integration with Azure Monitor supports collecting Azure Monitor metrics, including Application Insights. With it, Nobl9 users can retrieve metrics and build SLOs based on them.

Azure Monitor parameters and supported features in Nobl9
General support:
Release channel: Beta
Connection method: Agent, Direct
Replay and SLI Analyzer: Historical data limit 30 days
Event logs: Supported
Query checker: Not supported
Query parameters retrieval: Supported
Timestamp cache persistence: Supported
Query parameters:
Query interval: 1 min
Query delay: 5 min
Jitter: 15 sec
Timeout: 60 sec
Agent details and minimum required versions for supported features:
Plugin name: n9azure_monitor
Query delay environment variable: AZURE_MONITOR_QUERY_DELAY
Replay and SLI Analyzer: 0.69.0-beta01
Query parameters retrieval: 0.71.0-beta
Timestamp cache persistence: 0.69.0-beta01
Additional notes:
Support for Azure Monitor Metrics and Azure Monitor Logs
Learn more Opens in a new tab

Creating SLOs with Azure Monitor​

Nobl9 integration with Azure Monitor supports Azure Monitor Metrics and Azure Monitor Logs data types. For both data types, you can create threshold metric and ratio metrics (good or bad over total).

Nobl9 Web​

Follow the instructions below to create your SLOs with Azure Monitor in the Nobl9 web application:

  1. Navigate to Service Level Objectives.
  2. Click .
  3. Select a Service.
    It will be the location for your SLO in Nobl9.
  4. Select your Azure Monitor data source.
  5. Modify Period for Historical Data Retrieval, if necessary.
    • This value defines how far back in the past your data will be retrieved when replaying your SLO based on Azure Monitor.
    • A longer period can extend the data loading time for your SLO.
    • Must be a positive whole number up to the maximum period value you've set when adding the Azure Monitor data source.

    Non-editable Replay period
    Non-editable Replay period indicates that the maximum period for historical data retrieval set for your Azure Monitor data source is set to zero.
    Adjust the data source settings to create the SLO with Replay.
  6. Build the query:

Select Azure Monitor Metrics to capture numeric data from your monitored resources.

  1. Specify the Resource you need to collect metrics for.
    Set the path to your required resource selecting Subscription, Resource Group, Resource, and, if available, Namespace.
  2. Metric refers to the way of calculating and interpreting calculate and interpret data from your data source.
    • Threshold metric is defined by a single numerical value (the threshold) that separates satisfactory performance from unsatisfactory performance. It's represented by a single time series evaluated against the threshold.
    • Ratio metric expresses the performance as a fraction or proportion, typically by dividing the number of successful or unsuccessful events by the total number of potential events (successes + failures). It's represented by two-time series for comparison for good or bad events and total events.
      For ratio metrics, select the Data count method.

      SLI values for good and total
      When choosing the query for the ratio SLI (countMetrics), keep in mind that the values ​​resulting from that query for both good and total:
      • Must be positive.
      • While we recommend using integers, fractions are also acceptable.
        • If using fractions, we recommend them to be larger than 1e-4 = 0.0001.
      • Shouldn't be larger than 1e+20.
  3. Select the Metric Name.
    If you cannot find the required metric name in the list or the list displays No matching data, check if your selected resource holds the metric you need.
  4. Choose a metric Aggregation determine how the incoming data is processed. The following aggregations are available:
    • Sum—the sum of all datapoints in an aggregation window
    • Average—the average of datapoints per aggregation window. Usually, it's Sum/Count
    • Maximum—the greatest datapoint value in an aggregation window
    • Minimum—the lowest datapoint value in an aggregation window
    • Count—the number of datapoints in an aggregation window. This type only considers how many data points are received, not their values
  5. Add Dimensions if any are applied to your chosen metric in Azure
    • Value must be up to 255 ASCII characters
  1. Define the Time window for your SLO:
  2. Configure the Error budget calculation method and Objectives:
    • Occurrences method counts good attempts against the count of total attempts.
    • Time Slices method measures how many good minutes were achieved (when a system operates within defined boundaries) during a time window.
    • You can define up to 12 objectives for an SLO.

      • Similar threshold values for objectives
      To use similar threshold values for different objectives in your SLO, we recommend differentiating them by setting varying decimal points for each objective.
      For example, if you want to use threshold value 1 for two objectives, set it to 1.0000001 for the first objective and to 1.0000002 for the second one.
  3. Add the Display name, Name, and other settings for your SLO:
    • Name identifies your SLO in Nobl9. After you save the SLO, its name becomes read-only.
      Use only lowercase letters, numbers, and dashes.
    • Select No data anomaly alert to receive notifications when your SLO stops reporting data for a specified period:
      • Choose up to five supported Alert methods.
      • Specify the delay period before Nobl9 sends an alert about the missing data.
        From 5 minutes to 31 days. Default: 15 minutes
    • Add alert policies, labels, and links, if required.
      Limits per SLO: 20 alert policies or links, 30 labels.
  4. Click CREATE SLO.

    5. SLO configuration use case
    Check the SLO configuration use case for a real-life SLO example.

YAML​

Azure Monitor Metrics​

Sample Azure Monitor threshold metrics SLO
apiVersion: n9/v1alpha
kind: SLO
metadata:
  name: api-server-slo
  displayName: API Server SLO
  project: default
  labels:
    area:
      - latency
      - slow-check
    env:
      - prod
      - dev
    region:
      - us
      - eu
    team:
      - green
      - sales
  annotations:
    area: latency
    env: prod
    region: us
    team: sales
spec:
  description: Example Azure Monitor SLO
  indicator:
    metricSource:
      name: azure-monitor
      project: default
      kind: Agent
  budgetingMethod: Occurrences
  objectives:
    - displayName: Good response (200)
      value: 200.0
      name: ok
      target: 0.95
      rawMetric:
        query:
          azureMonitor:
            dataType: metrics
            resourceId: /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/myResourceGroup/providers/Microsoft.Compute/virtualMachines/api-server
            metricName: Percentage CPU
            aggregation: Avg
            metricNamespace: azure.applicationinsights
      op: lte
      primary: true
  service: api-server
  timeWindows:
    - unit: Month
      count: 1
      isRolling: false
      calendar:
        startTime: "2022-12-01 00:00:00"
        timeZone: UTC
  alertPolicies:
    - fast-burn-5x-for-last-10m
  attachments:
    - url: https://docs.nobl9.com
      displayName: Nobl9 Documentation
  anomalyConfig:
    noData:
      alertMethods:
        - name: slack-notification
          project: default
      alertAfter: 1h
Click to open field reference
FieldTypeDescription
apiVersion
mandatory
stringAPI version. Use n9/v1alpha
kind
mandatory
stringThe resource type. Use SLO
Metadata
metadata.name
mandatory
stringName identifier for the SLO. Use only lowercase alphanumeric characters
metadata.displayNamestringUser-friendly SLO name
metadata.project
mandatory
stringThe name identifier of the project where you need to host your SLO
metadata.labelsobject (map: string[])Grouping labels for filtering or viewing
metadata.annotationsobject (map: string)Flat string annotations
Spec
spec.descriptionstringSLO description
spec.indicator.metricSource.name
mandatory
stringData source name
spec.indicator.metricSource.project
mandatory
stringProject containing the data source
spec.indicator.metricSource.kind
mandatory
stringData source connection method. Can be Agent or Direct
spec.budgetingMethod
mandatory
enumError budget calculation method. Can be Occurrences or Time slices
spec.objectives
mandatory
arrayYour SLO objective definition, up to 12 objectives per SLO.
spec.objectives[].displayNamestringUser-friendly objective name
spec.objectives[].value
mandatory
numberData point values that is considered "good" (e.g., 200.0).
In SLOs with two or more objectives, keep each objective's value unique.
In ratio (count) metrics, value is retained for legacy purposes.
spec.objectives[].name
mandatory
stringName identifier for this objective
spec.objectives[].op
mandatory
string (enum)Operator for objective. One of:
lte (less than or equal to)
lt (less than)
gte (greater than or equal to)
gt (greater than)
spec.objectives[].target
mandatory
floatThe percentage of the good minutes or occurrences that must meet the desired performance (e.g., is the target is 0.95, the good performance is expected to be observed in at least 95% of the time window)
spec.objectives[].rawMetric/.countMetric
mandatory
objectThe metric type indicator. Set:
rawMetric for a threshold metric
countMetric for a ratio metric.
A ratio metric requires the additional fields:
countMetric.incremental (boolean) the data count method
countMetric.good/.bad and countMetric.total a numerator and denominator queries
spec.objectives[].countMetric.incremental
mandatory
booleanThe data count method for a ratio (countMetric) metric type
spec.objectives[].primarybooleanThe indicator of a primary SLO objective
spec.service
mandatory
stringThe name identifier of a service to host this SLO. The service must exist in the project specified in metadata.project
spec.timeWindows
mandatory
arrayDefines SLO time window for error budget calculation. Set:
isRolling: true for the rolling time window type
isRolling: false for the calendar-aligned type
spec.timeWindows.unit
mandatory
integerThe time window units. One of:
Day | Hour | Minute for the rolling time window
Year | Quarter | Month | Week | Day for the calendar-aligned time window
spec.timeWindows.count
mandatory
integerThe number of units in a time window
spec.timeWindows.startTimestringMandatory for calendar-aligned time windows. Date and time in the format YYYY-MM-DDTHH:mm:ss
spec.timeWindows.timeZonestringMandatory for calendar-aligned time-windows. A valid IANA Time Zone Database name
spec.timeWindows.isRolling
mandatory
boolean
true for the rolling time window type
false for the calendar-aligned type
spec.alertPoliciesarrayThe name identifiers of alert policies to be linked to this SLO (must be from the same project as the SLO). Up to 20 alert policies per SLO.
spec.attachmentsarrayLinks to any additional attributes of this SLO
spec.anomalyConfigobjectSettings for a manual no data anomaly detection rule
spec.noData.alertMethodsarrayList of alert methods for no-data anomaly. Up to five alert methods per SLO. Every alert method must have the name and project fields
spec.noData.alertAfterstringWaiting time before sending a no-data notification. Must be 5m to 31d.
Default: 15m
Source-specific fields
azureMonitor.dataType
mandatory
stringThe data type to be queried. One of: metrics | logs
azureMonitor.resourceId
mandatory
stringA path to the queried resource
azureMonitor.metricName
mandatory
stringThe name of the metric to be queried
azureMonitor.metricNamespace
optional
stringAn Azure Monitor container with the required metric
azureMonitor.aggregation
mandatory
stringThe aggregation function to be applied to retrieved data. One of: Sum | Average | Maximum | Minimum | Count

Azure Monitor Logs​

Sample Azure Monitor threshold logs SLO
apiVersion: n9/v1alpha
kind: SLO
metadata:
  name: api-server-slo
  displayName: API Server SLO
  project: default
  labels:
    area:
      - latency
      - slow-check
    env:
      - prod
      - dev
    region:
      - us
      - eu
    team:
      - green
      - sales
  annotations:
    area: latency
    env: prod
    region: us
    team: sales
spec:
  description: Example Azure Monitor SLO
  indicator:
    metricSource:
      name: azure-monitor
      project: default
      kind: Agent
  budgetingMethod: Occurrences
  objectives:
    - displayName: Good response (200)
      value: 200
      name: ok
      target: 0.95
      rawMetric:
        query:
          azureMonitor:
            dataType: logs
            workspace:
              subscriptionId: 00000000-0000-0000-0000-000000000000
              resourceGroup: myResourceGroup
              workspaceId: 11111111-1111-1111-1111-111111111111
            kqlQuery: |-
              AppRequests
              | where AppRoleName == "api-server"
              | summarize n9_value = avg(DurationMs) by bin(TimeGenerated, 15s)
              | project n9_time = TimeGenerated, n9_value
      op: lte
      primary: true
  service: api-server
  timeWindows:
    - unit: Month
      count: 1
      isRolling: false
      calendar:
        startTime: '2022-12-01 00:00:00'
        timeZone: UTC
  alertPolicies:
    - fast-burn-5x-for-last-10m
  attachments:
    - url: https://docs.nobl9.com
      displayName: Nobl9 Documentation
  anomalyConfig:
    noData:
      alertMethods:
        - name: slack-notification
          project: default
      alertAfter: 1h
Click to open field reference
FieldTypeDescription
apiVersion
mandatory
stringAPI version. Use n9/v1alpha
kind
mandatory
stringThe resource type. Use SLO
Metadata
metadata.name
mandatory
stringName identifier for the SLO. Use only lowercase alphanumeric characters
metadata.displayNamestringUser-friendly SLO name
metadata.project
mandatory
stringThe name identifier of the project where you need to host your SLO
metadata.labelsobject (map: string[])Grouping labels for filtering or viewing
metadata.annotationsobject (map: string)Flat string annotations
Spec
spec.descriptionstringSLO description
spec.indicator.metricSource.name
mandatory
stringData source name
spec.indicator.metricSource.project
mandatory
stringProject containing the data source
spec.indicator.metricSource.kind
mandatory
stringData source connection method. Can be Agent or Direct
spec.budgetingMethod
mandatory
enumError budget calculation method. Can be Occurrences or Time slices
spec.objectives
mandatory
arrayYour SLO objective definition, up to 12 objectives per SLO.
spec.objectives[].displayNamestringUser-friendly objective name
spec.objectives[].value
mandatory
numberData point values that is considered "good" (e.g., 200.0).
In SLOs with two or more objectives, keep each objective's value unique.
In ratio (count) metrics, value is retained for legacy purposes.
spec.objectives[].name
mandatory
stringName identifier for this objective
spec.objectives[].op
mandatory
string (enum)Operator for objective. One of:
lte (less than or equal to)
lt (less than)
gte (greater than or equal to)
gt (greater than)
spec.objectives[].target
mandatory
floatThe percentage of the good minutes or occurrences that must meet the desired performance (e.g., is the target is 0.95, the good performance is expected to be observed in at least 95% of the time window)
spec.objectives[].rawMetric/.countMetric
mandatory
objectThe metric type indicator. Set:
rawMetric for a threshold metric
countMetric for a ratio metric.
A ratio metric requires the additional fields:
countMetric.incremental (boolean) the data count method
countMetric.good/.bad and countMetric.total a numerator and denominator queries
spec.objectives[].countMetric.incremental
mandatory
booleanThe data count method for a ratio (countMetric) metric type
spec.objectives[].primarybooleanThe indicator of a primary SLO objective
spec.service
mandatory
stringThe name identifier of a service to host this SLO. The service must exist in the project specified in metadata.project
spec.timeWindows
mandatory
arrayDefines SLO time window for error budget calculation. Set:
isRolling: true for the rolling time window type
isRolling: false for the calendar-aligned type
spec.timeWindows.unit
mandatory
integerThe time window units. One of:
Day | Hour | Minute for the rolling time window
Year | Quarter | Month | Week | Day for the calendar-aligned time window
spec.timeWindows.count
mandatory
integerThe number of units in a time window
spec.timeWindows.startTimestringMandatory for calendar-aligned time windows. Date and time in the format YYYY-MM-DDTHH:mm:ss
spec.timeWindows.timeZonestringMandatory for calendar-aligned time-windows. A valid IANA Time Zone Database name
spec.timeWindows.isRolling
mandatory
boolean
true for the rolling time window type
false for the calendar-aligned type
spec.alertPoliciesarrayThe name identifiers of alert policies to be linked to this SLO (must be from the same project as the SLO). Up to 20 alert policies per SLO.
spec.attachmentsarrayLinks to any additional attributes of this SLO
spec.anomalyConfigobjectSettings for a manual no data anomaly detection rule
spec.noData.alertMethodsarrayList of alert methods for no-data anomaly. Up to five alert methods per SLO. Every alert method must have the name and project fields
spec.noData.alertAfterstringWaiting time before sending a no-data notification. Must be 5m to 31d.
Default: 15m
Source-specific fields
azureMonitor.dataType
mandatory
stringThe data type to be queried. One of: metrics | logs
azureMonitor.workspace.subscriptionId
mandatory
stringPart of the queries resource identifier
azureMonitor.workspace.resourceGroup
optional
stringPart of the queries resource identifier
azureMonitor.workspace.workspaceId
mandatory
stringPart of the queries resource identifier
azureMonitor.kqlQuery
mandatory
stringThe query in the Kusto Query Language. This field is case-sensitive. Must contain n9_time and n9_value

Querying the Azure Monitor API​

The Nobl9 agent leverages the Azure Monitor Data Plane API to get data.

Check out these related guides and references:
Adding Azure Monitor as a data sourceAdding data sourcesCreating SLOs via TerraformTerraformAzure Monitor Metrics overviewAzure docsAzure Monitor Logs overviewAzure docsBest practices for Kusto Query Language queriesAzure docs
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