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Datadog

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Datadog is a cloud-scale application observability solution that monitors servers, databases, tools, and services. Nobl9 connects with Datadog to collect SLI measurements and compare them to SLO targets. Nobl9 can activate processes and notifications when the error budget burn rate is too high or has been surpassed because it calculates error budgets of acceptable thresholds.

Users can pass business context through monitoring data, developing and measuring reliability targets, and aligning activities against the error budget's priorities using Nobl9 integration with Datadog.

Datadog parameters and supported features in Nobl9
General support:
Release channel: Stable, Beta
Connection method: Agent, Direct
Replay and SLI Analyzer: Historical data limit 30 days
Event logs: Supported
Query checker: Supported
Query parameters retrieval: Supported
Timestamp cache persistence: Supported
Query parameters:
Query interval: 2 min
Query delay: 1 min
Jitter: 15 sec
Timeout: 30 sec
Agent details and minimum required versions for supported features:
Plugin name: n9datadog
Query delay environment variable: DATADOG_QUERY_DELAY
Replay and SLI Analyzer: 0.65.0
Query parameters retrieval: 0.73.2
Timestamp cache persistence: 0.65.0

Authentication​

To deploy the Nobl9 agent, provide an API Key and Application Key with the DD_API_KEY and DD_APPLICATION_KEY environment variables. Alternatively, you can pass credentials using a local configuration file with the api_key and application_key keys under the n9datadog section.

Learn how to obtain API and Application Keys.

Authorization scope requirements

To connect to Datadog, the Nobl9 agent scrapes the /api/v1/query endpoint that requires the timeseries_query authorization scope. Make sure your application has access to this scope before you connect to Datadog.

Learn more about Query timeseries data across multiple products.

Adding Datadog as a data source​

To ensure data transmission between Nobl9 and Datadog, it may be necessary to list Nobl9 IP addresses as trusted.

💻ip allowlist
IP addresses to include in your allowlist for secure access:

If you're using app.nobl9.com instance:
  • 18.159.114.21
  • 18.158.132.186
  • 3.64.154.26
If you're using us1.nobl9.com instance:
  • 34.121.54.120
  • 34.123.193.191
  • 34.134.71.10
  • 35.192.105.150
  • 35.225.248.37
  • 35.226.78.175
  • 104.198.44.161

You can add Datadog as the data source using the direct or agent connection methods.

Direct connection method​

Direct connection to Datadog requires entering your Datadog credentials.

Nobl9 Web​

  1. Navigate to Integrations > Sources.
  2. Click .
  3. Click the required Source button.
  4. Choose Direct.
  1. Select one of the following Release Channels:
    • The stable channel is fully tested by the Nobl9 team. It represents the final product; however, this channel does not contain all the new features of a beta release. Use it to avoid crashes and other limitations.
    • The beta channel is under active development. Here, you can check out new features and improvements without the risk of affecting any viable SLOs. Remember that features in this channel can change.

  2. Enter the Datadog Site for connection.
    It is a Datadog SaaS instance that corresponds to one of Datadog's available locations:

    • datadoghq.com (formerly referred to as com),
    • us3.datadoghq.com
    • us5.datadoghq.com
    • datadoghq.eu (formerly referred to as eu),
    • ddog-gov.com,
    • ap1.datadoghq.com

  3. Enter your Datadog API Key and Application Key.

  1. Select a Project.
    Specifying a project is helpful when multiple users are spread across multiple teams or projects. When the Project field is left blank, Nobl9 uses the default project.
  2. Enter a Display Name.
    You can enter a user-friendly name with spaces in this field.
  3. Enter a Name.
    The name is mandatory and can only contain lowercase, alphanumeric characters, and dashes (for example, my-project-1). Nobl9 duplicates the display name here, transforming it into the supported format, but you can edit the result.
  4. Enter a Description.
    Here you can add details such as who is responsible for the integration (team/owner) and the purpose of creating it.
  5. Specify the Query delay to set a customized delay for queries when pulling the data from the data source.
    • The default value in Datadog integration for Query delay is 1 minute.
    info
    Changing the Query delay may affect your SLI data. For more details, check the Query delay documentation.
  6. Enter a Maximum Period for Historical Data Retrieval.
    • This value defines how far back in the past your data will be retrieved when replaying your SLO based on this data source.
    • The maximum period value depends on the data source.
      Find the maximum value for your data source.
    • A greater period can extend the loading time when creating an SLO.
      • The value must be a positive integer.
  7. Enter a Default Period for Historical Data Retrieval.
    • It is used by SLOs connected to this data source.
    • The value must be a positive integer or 0.
    • By default, this value is set to 0. When you set it to >0, you will create SLOs with Replay.
  8. Click Add Data Source.

sloctl​

  1. Create a YAML definition to set up a direct connection with Datadog. For this, refer to the following example:
YAML definition for the direct connection method
apiVersion: n9/v1alpha
kind: Direct
metadata:
  name: datadog
  displayName: Datadog Direct
  project: default
spec:
  description: Example Datadog Direct
  releaseChannel: stable
  datadog:
    site: com
    apiKey: "[secret]"
    applicationKey: "[secret]"
  historicalDataRetrieval:
    maxDuration:
      value: 30
      unit: Day
    defaultDuration:
      value: 15
      unit: Day
    triggeredBySloCreation:
      value: 15
      unit: Day
    triggeredBySloEdit:
      value: 15
      unit: Day
  queryDelay:
    value: 2
    unit: Minute
FieldTypeDescription
queryDelay.unit
mandatory
enumSpecifies the unit for the query delay. Possible values: Second | Minute.
• Check query delay documentation for default unit of query delay for each source.
queryDelay.value
mandatory
numericSpecifies the value for the query delay.
• Must be a number less than 1440 minutes (24 hours).
• Check query delay documentation for default unit of query delay for each source.
logCollectionEnabled
optional
booleanOptional. Defaults to false. Set to true if you'd like your direct to collect event logs. Contact us to activate it.
releaseChannel
mandatory
enumSpecifies the release channel. Accepted values: beta | stable.
Source-specific fields
datadog.site
mandatory
stringDatadog SaaS instance that corresponds to one of Datadog's available locations:
• datadoghq.com (formerly referred to as `COM`)
• us3.datadoghq.com
• us5.datadoghq.com
• datadoghq.eu (formerly referred to as `EU`)
• ddog-gov.com
• ap1.datadoghq.com
datadog.apiKey
mandatory
string, secretSee authentication section above for more details.
datadog.applicationKey
mandatory
string, secretSee authentication section above for more details.
Replay-related fields
historicalDataRetrieval
optional
n/aOptional structure related to configuration related to Replay.
❗ Use only with supported sources.
• If omitted, Nobl9 uses the default values of value: 0 and unit: Day for maxDuration and defaultDuration.
maxDuration.value
optional
numericSpecifies the maximum duration for historical data retrieval. Must be integer ≥ 0. See Replay documentation for values of max duration per data source.
maxDuration.unit
optional
enumSpecifies the unit for the maximum duration of historical data retrieval. Accepted values: Minute | Hour | Day.
defaultDuration.value
optional
numericSpecifies the default duration for historical data retrieval. Must be integer ≥ 0 and ≤ maxDuration.
defaultDuration.unit
optional
enumSpecifies the unit for the default duration of historical data retrieval. Accepted values: Minute | Hour | Day.
  1. Apply your YAML definition using the sloctl apply command.

Agent connection method​

For the agent connection method, credentials aren't required. With this method, you must deploy your Datadog agent to activate data collection.

Nobl9 Web​

  1. Navigate to Integrations > Sources.
  2. Click .
  3. Click the required Source button.
  4. Choose Agent.
  1. Select one of the following Release Channels:
    • The stable channel is fully tested by the Nobl9 team. It represents the final product; however, this channel does not contain all the new features of a beta release. Use it to avoid crashes and other limitations.
    • The beta channel is under active development. Here, you can check out new features and improvements without the risk of affecting any viable SLOs. Remember that features in this channel can change.

  2. Enter the Datadog Site for connection.
    It is a Datadog SaaS instance that corresponds to one of Datadog's available locations:

    • datadoghq.com (formerly referred to as com),
    • us3.datadoghq.com
    • us5.datadoghq.com
    • datadoghq.eu (formerly referred to as eu),
    • ddog-gov.com,
    • ap1.datadoghq.com
  1. Select a Project.
    Specifying a project is helpful when multiple users are spread across multiple teams or projects. When the Project field is left blank, Nobl9 uses the default project.
  2. Enter a Display Name.
    You can enter a user-friendly name with spaces in this field.
  3. Enter a Name.
    The name is mandatory and can only contain lowercase, alphanumeric characters, and dashes (for example, my-project-1). Nobl9 duplicates the display name here, transforming it into the supported format, but you can edit the result.
  4. Enter a Description.
    Here you can add details such as who is responsible for the integration (team/owner) and the purpose of creating it.
  5. Specify the Query delay to set a customized delay for queries when pulling the data from the data source.
    • The default value in Datadog integration for Query delay is 1 minute.
    info
    Changing the Query delay may affect your SLI data. For more details, check the Query delay documentation.
  6. Enter a Maximum Period for Historical Data Retrieval.
    • This value defines how far back in the past your data will be retrieved when replaying your SLO based on this data source.
    • The maximum period value depends on the data source.
      Find the maximum value for your data source.
    • A greater period can extend the loading time when creating an SLO.
      • The value must be a positive integer.
  7. Enter a Default Period for Historical Data Retrieval.
    • It is used by SLOs connected to this data source.
    • The value must be a positive integer or 0.
    • By default, this value is set to 0. When you set it to >0, you will create SLOs with Replay.
  8. Click Add Data Source.
  9. Deploy your agent in a Kubernetes cluster or Docker container.

sloctl​

  1. Create a YAML definition to set up an agent connection with Datadog. For this, refer to the following example:
YAML definition for the agent connection method
apiVersion: n9/v1alpha
kind: Agent
metadata:
  name: datadog
  displayName: Datadog Agent
  project: default
spec:
  description: Example Datadog Agent
  releaseChannel: stable
  datadog:
    site: com
  historicalDataRetrieval:
    maxDuration:
      value: 30
      unit: Day
    defaultDuration:
      value: 15
      unit: Day
  queryDelay:
    value: 2
    unit: Minute
FieldTypeDescription
queryDelay.unit
mandatory
enumSpecifies the unit for the query delay. Possible values: Second | Minute.
• Check query delay documentation for default unit of query delay for each source.
queryDelay.value
mandatory
numericSpecifies the value for the query delay.
• Must be a number less than 1440 minutes (24 hours).
• Check query delay documentation for default unit of query delay for each source.
releaseChannel
mandatory
enumSpecifies the release channel. Accepted values: beta | stable.
Source-specific fields
datadog.site
mandatory
stringDatadog SaaS instance that corresponds to one of Datadog's available locations:
• datadoghq.com (formerly referred to as `com`)
• us3.datadoghq.com
• us5.datadoghq.com
• datadoghq.eu (formerly referred to as `eu`)
• ddog-gov.com
• ap1.datadoghq.com
Replay-related fields
historicalDataRetrieval
optional
n/aOptional structure related to configuration related to Replay.
❗ Use only with supported sources.
• If omitted, Nobl9 uses the default values of value: 0 and unit: Day for maxDuration and defaultDuration.
maxDuration.value
optional
numericSpecifies the maximum duration for historical data retrieval. Must be integer ≥ 0. See Replay documentation for values of max duration per data source.
maxDuration.unit
optional
enumSpecifies the unit for the maximum duration of historical data retrieval. Accepted values: Minute | Hour | Day.
defaultDuration.value
optional
numericSpecifies the default duration for historical data retrieval. Must be integer ≥ 0 and ≤ maxDuration.
defaultDuration.unit
optional
enumSpecifies the unit for the default duration of historical data retrieval. Accepted values: Minute | Hour | Day.
  1. Apply your YAML definition using the sloctl apply command.
  2. Deploy your agent in a Kubernetes cluster or Docker container.
For a more in-depth look, consult additional resources:
Nobl9 integration with datadogDatadog documentationRollup interval: Enforced vs customDatadog documentationRate limitsDatadog documentationQuery timeseries APIDatadog documentationAgent metricsAgentCreating SLOs via TerraformTerraformCreating agents via TerraformTerraform
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