Set up Tracing on a Jenkins Pipeline

Docs > Continuous Integration Visibility > CI Pipeline Visibility in Datadog > Set up Tracing on a Jenkins Pipeline

Compatibility

This integration supports both Agentless and Agent-based installation. Agentless mode is recommended; for instrastructure metric correlation, use the Agent-based mode.

Supported Jenkins versions:
- Jenkins >= 2.346.1
Manual steps: View manually triggered pipelines
Queue time: View amount of time pipeline jobs wait in the queue before processing
Logs correlation: Correlate pipeline spans to logs and enable job log collection
Infrastructure metric correlation: Correlate pipelines to infrastructure host metrics for Jenkins workers
Custom spans: Configure custom spans
Custom pre-defined tags: Configure custom tags and measures at runtime
Parameters: Set custom parameters such as default branch name and Git information
Pipeline failure reasons: Identify pipeline failure reasons

Install the Datadog Jenkins plugin (agentless)

Install and enable the Datadog Jenkins plugin v3.3.0 or newer:

In your Jenkins instance web interface, go to Manage Jenkins > Manage Plugins.
In the Update Center on the Available tab, search for Datadog Plugin.
Select the checkbox next to the plugin, and install using one of the two install buttons at the bottom of the screen.
To verify that the plugin is installed, search for Datadog Plugin on the Installed tab.

Enable CI Visibility on the plugin

There are several ways you can configure the Datadog Jenkins plugin.

Configure with the Jenkins configuration UI

In your Jenkins instance web interface, go to Manage Jenkins > Configure System.
Go to the Datadog Plugin section, scrolling down the configuration screen.
Select the mode Use the Datadog Agent to report to Datadog.
Configure the Agent host.
Configure the Traces Collection Port if not using the default port 8126.
Mark the Enable CI Visibility checkbox.
(Optional) Configure your CI Instance name.
Check the connectivity with the Datadog Agent.
Save your configuration.

Datadog Plugin configuration for Jenkins

Use this option to make the Jenkins plugin report directly to Datadog without using the Datadog Agent. It requires an API Key.

In your Jenkins instance web interface, go to Manage Jenkins > Configure System.
Go to the Datadog Plugin section, scrolling down the configuration screen.
Select the mode Use Datadog API URL and Key to report to Datadog.
For Datadog sites other that datadoghq.com, change the Datadog API URL, Log Intake URL, and Webhook Intake URL to point to your Datadog site.
Enter a valid Datadog API Key.
Mark the Enable CI Visibility checkbox.
(Optional) Configure your CI Instance name.
Save your configuration.

Configuration-as-code

If your Jenkins instance uses the Jenkins configuration-as-code plugin:

Create or modify the configuration YAML by adding an entry for datadogGlobalConfiguration:

unclassified:
    datadogGlobalConfiguration:
        # Select the `Datadog Agent` mode (DSD).
        reportWith: "DSD"
        # Configure the `Agent` host
        targetHost: "<your-agent-host>"
        # Configure the `Traces Collection` port
        targetTraceCollectionPort: 8126
        # Enable CI Visibility flag
        enableCiVisibility: true
        # (Optional) Configure your CI Instance name
        ciInstanceName: "jenkins"

In your Jenkins instance web interface, go to Manage Jenkins > Configuration as Code.
Apply or reload the configuration.
Check the configuration using the View Configuration button.

If your Jenkins instance uses the Jenkins configuration-as-code plugin:

Create or modify the configuration YAML by adding an entry for datadogGlobalConfiguration:

    unclassified:
        datadogGlobalConfiguration:
            # Select the `Agentless` mode (HTTP).
            reportWith: "HTTP"
            # Update the endpoints if reporting to Datadog sites other that `datadoghq.com`
            targetApiURL: "https://api.datadoghq.com/api/"
            targetLogIntakeURL: "https://http-intake.logs.datadoghq.com/v1/input/"
            targetWebhookIntakeURL: "https://webhook-intake.datadoghq.com/api/v2/webhook/"
            # Configure your API key
            targetCredentialsApiKey: "<your-api-key>"
            # (Optional) Configure your CI Instance name
            ciInstanceName: "jenkins"
    

    unclassified:
        datadogGlobalConfiguration:
            # Select the `Agentless` mode (HTTP).
            reportWith: "HTTP"
            # Update the endpoints if reporting to Datadog sites other that `datadoghq.com`
            targetApiURL: "https://api.datadoghq.eu/api/"
            targetLogIntakeURL: "https://http-intake.logs.datadoghq.eu/v1/input/"
            targetWebhookIntakeURL: "https://webhook-intake.datadoghq.eu/api/v2/webhook/"
            # Configure your API key
            targetCredentialsApiKey: "<your-api-key>"
            # (Optional) Configure your CI Instance name
            ciInstanceName: "jenkins"
    

    unclassified:
        datadogGlobalConfiguration:
            # Select the `Agentless` mode (HTTP).
            reportWith: "HTTP"
            # Update the endpoints if reporting to Datadog sites other that `datadoghq.com`
            targetApiURL: "https://api.dd-gov.com/api/"
            targetLogIntakeURL: "https://http-intake.logs.dd-gov.com/v1/input/"
            targetWebhookIntakeURL: "https://webhook-intake.dd-gov.com/api/v2/webhook/"
            # Configure your API key
            targetCredentialsApiKey: "<your-api-key>"
            # (Optional) Configure your CI Instance name
            ciInstanceName: "jenkins"
    

    unclassified:
        datadogGlobalConfiguration:
            # Select the `Agentless` mode (HTTP).
            reportWith: "HTTP"
            # Update the endpoints if reporting to Datadog sites other that `datadoghq.com`
            targetApiURL: "https://api.us3.datadoghq.com/api/"
            targetLogIntakeURL: "https://http-intake.logs.us3.datadoghq.com/v1/input/"
            targetWebhookIntakeURL: "https://webhook-intake.us3.datadoghq.com/api/v2/webhook/"
            # Configure your API key
            targetCredentialsApiKey: "<your-api-key>"
            # (Optional) Configure your CI Instance name
            ciInstanceName: "jenkins"
    

    unclassified:
        datadogGlobalConfiguration:
            # Select the `Agentless` mode (HTTP).
            reportWith: "HTTP"
            # Update the endpoints if reporting to Datadog sites other that `datadoghq.com`
            targetApiURL: "https://api.us5.datadoghq.com/api/"
            targetLogIntakeURL: "https://http-intake.logs.us5.datadoghq.com/v1/input/"
            targetWebhookIntakeURL: "https://webhook-intake.us5.datadoghq.com/api/v2/webhook/"
            # Configure your API key
            targetCredentialsApiKey: "<your-api-key>"
            # (Optional) Configure your CI Instance name
            ciInstanceName: "jenkins"
    

    unclassified:
        datadogGlobalConfiguration:
            # Select the `Agentless` mode (HTTP).
            reportWith: "HTTP"
            # Update the endpoints if reporting to Datadog sites other that `datadoghq.com`
            targetApiURL: "https://api.ap1.datadoghq.com/api/"
            targetLogIntakeURL: "https://http-intake.logs.ap1.datadoghq.com/v1/input/"
            targetWebhookIntakeURL: "https://webhook-intake.ap1.datadoghq.com/api/v2/webhook/"
            # Configure your API key
            targetCredentialsApiKey: "<your-api-key>"
            # (Optional) Configure your CI Instance name
            ciInstanceName: "jenkins"
    

In your Jenkins instance web interface, go to Manage Jenkins > Configuration as Code.
Apply or reload the configuration.
Check the configuration using the View Configuration button.

Configure with Groovy

In your Jenkins instance web interface, go to Manage Jenkins > Script Console.

Run the configuration script:

import jenkins.model.*
import org.datadog.jenkins.plugins.datadog.DatadogGlobalConfiguration

def j = Jenkins.getInstance()
def d = j.getDescriptor("org.datadog.jenkins.plugins.datadog.DatadogGlobalConfiguration")

// Select the Datadog Agent mode
d.setReportWith('DSD')

// Configure the Agent host.
d.setTargetHost('<your-agent-host>')

// Configure the Traces Collection port (default 8126)
d.setTargetTraceCollectionPort(8126)

// Enable CI Visibility
d.setEnableCiVisibility(true)

// (Optional) Configure your CI Instance name
d.setCiInstanceName("jenkins")

// Save config
d.save()

In your Jenkins instance web interface, go to Manage Jenkins > Script Console.
Run the configuration script:

    import jenkins.model.*
    import org.datadog.jenkins.plugins.datadog.DatadogGlobalConfiguration

    def j = Jenkins.getInstance()
    def d = j.getDescriptor("org.datadog.jenkins.plugins.datadog.DatadogGlobalConfiguration")

    // Select the Datadog Agent mode
    d.setReportWith('HTTP')

    // Endpoint URLs correspond to your Datadog site
    d.setTargetApiURL("https://api.datadoghq.com/api/")
    d.setTargetLogIntakeURL("https://http-intake.logs.datadoghq.com/v1/input/")
    d.setTargetWebhookIntakeURL("https://webhook-intake.datadoghq.com/api/v2/webhook/")

    // Configure your API key
    d.setTargetApiKey("your-api-key")

    // Enable CI Visibility
    d.setEnableCiVisibility(true)

    // (Optional) Configure your CI Instance name
    d.setCiInstanceName("jenkins")

    // Save config
    d.save()
    

    import jenkins.model.*
    import org.datadog.jenkins.plugins.datadog.DatadogGlobalConfiguration

    def j = Jenkins.getInstance()
    def d = j.getDescriptor("org.datadog.jenkins.plugins.datadog.DatadogGlobalConfiguration")

    // Select the Datadog Agent mode
    d.setReportWith('HTTP')

    // Endpoint URLs correspond to your Datadog site
    d.setTargetApiURL("https://api.ap1.datadoghq.eu/api/")
    d.setTargetLogIntakeURL("https://http-intake.logs.ap1.datadoghq.eu/v1/input/")
    d.setTargetWebhookIntakeURL("https://webhook-intake.ap1.datadoghq.eu/api/v2/webhook/")

    // Configure your API key
    d.setTargetApiKey("your-api-key")

    // Enable CI Visibility
    d.setEnableCiVisibility(true)

    // (Optional) Configure your CI Instance name
    d.setCiInstanceName("jenkins")

    // Save config
    d.save()
    

    import jenkins.model.*
    import org.datadog.jenkins.plugins.datadog.DatadogGlobalConfiguration

    def j = Jenkins.getInstance()
    def d = j.getDescriptor("org.datadog.jenkins.plugins.datadog.DatadogGlobalConfiguration")

    // Select the Datadog Agent mode
    d.setReportWith('HTTP')

    // Endpoint URLs correspond to your Datadog site
    d.setTargetApiURL("https://api.dd-gov.com/api/")
    d.setTargetLogIntakeURL("https://http-intake.logs.dd-gov.com/v1/input/")
    d.setTargetWebhookIntakeURL("https://webhook-intake.dd-gov.com/api/v2/webhook/")

    // Configure your API key
    d.setTargetApiKey("your-api-key")

    // Enable CI Visibility
    d.setEnableCiVisibility(true)

    // (Optional) Configure your CI Instance name
    d.setCiInstanceName("jenkins")

    // Save config
    d.save()
    

    import jenkins.model.*
    import org.datadog.jenkins.plugins.datadog.DatadogGlobalConfiguration

    def j = Jenkins.getInstance()
    def d = j.getDescriptor("org.datadog.jenkins.plugins.datadog.DatadogGlobalConfiguration")

    // Select the Datadog Agent mode
    d.setReportWith('HTTP')

    // Endpoint URLs correspond to your Datadog site
    d.setTargetApiURL("https://api.us3.datadoghq.com/api/")
    d.setTargetLogIntakeURL("https://http-intake.logs.us3.datadoghq.com/v1/input/")
    d.setTargetWebhookIntakeURL("https://webhook-intake.us3.datadoghq.com/api/v2/webhook/")

    // Configure your API key
    d.setTargetApiKey("your-api-key")

    // Enable CI Visibility
    d.setEnableCiVisibility(true)

    // (Optional) Configure your CI Instance name
    d.setCiInstanceName("jenkins")

    // Save config
    d.save()
    

    import jenkins.model.*
    import org.datadog.jenkins.plugins.datadog.DatadogGlobalConfiguration

    def j = Jenkins.getInstance()
    def d = j.getDescriptor("org.datadog.jenkins.plugins.datadog.DatadogGlobalConfiguration")

    // Select the Datadog Agent mode
    d.setReportWith('HTTP')

    // Endpoint URLs correspond to your Datadog site
    d.setTargetApiURL("https://api.us5.datadoghq.com/api/")
    d.setTargetLogIntakeURL("https://http-intake.logs.us5.datadoghq.com/v1/input/")
    d.setTargetWebhookIntakeURL("https://webhook-intake.us5.datadoghq.com/api/v2/webhook/")

    // Configure your API key
    d.setTargetApiKey("your-api-key")

    // Enable CI Visibility
    d.setEnableCiVisibility(true)

    // (Optional) Configure your CI Instance name
    d.setCiInstanceName("jenkins")

    // Save config
    d.save()
    

    import jenkins.model.*
    import org.datadog.jenkins.plugins.datadog.DatadogGlobalConfiguration

    def j = Jenkins.getInstance()
    def d = j.getDescriptor("org.datadog.jenkins.plugins.datadog.DatadogGlobalConfiguration")

    // Select the Datadog Agent mode
    d.setReportWith('HTTP')

    // Endpoint URLs correspond to your Datadog site
    d.setTargetApiURL("https://api.ap1.datadoghq.com/api/")
    d.setTargetLogIntakeURL("https://http-intake.logs.ap1.datadoghq.com/v1/input/")
    d.setTargetWebhookIntakeURL("https://webhook-intake.ap1.datadoghq.com/api/v2/webhook/")

    // Configure your API key
    d.setTargetApiKey("your-api-key")

    // Enable CI Visibility
    d.setEnableCiVisibility(true)

    // (Optional) Configure your CI Instance name
    d.setCiInstanceName("jenkins")

    // Save config
    d.save()
    

Use environment variables

Set the following environment variables on your Jenkins instance machine:

# Select the Datadog Agent mode
DATADOG_JENKINS_PLUGIN_REPORT_WITH=DSD

# Configure the Agent host
DATADOG_JENKINS_PLUGIN_TARGET_HOST=your-agent-host

# Configure the Traces Collection port (default 8126)
DATADOG_JENKINS_PLUGIN_TARGET_TRACE_COLLECTION_PORT=8126

# Enable CI Visibility
DATADOG_JENKINS_PLUGIN_ENABLE_CI_VISIBILITY=true

# (Optional) Configure your CI Instance name
DATADOG_JENKINS_PLUGIN_CI_VISIBILITY_CI_INSTANCE_NAME=jenkins

Restart your Jenkins instance.

Set the following environment variables on your Jenkins instance machine:

    # Select the Datadog Agent mode
    DATADOG_JENKINS_PLUGIN_REPORT_WITH=HTTP

    # Endpoint URLs correspond to your Datadog site
    DATADOG_JENKINS_PLUGIN_TARGET_API_URL="https://api.datadoghq.com/api/"
    DATADOG_JENKINS_PLUGIN_TARGET_LOG_INTAKE_URL="https://http-intake.logs.datadoghq.com/v1/input/"
    DATADOG_JENKINS_TARGET_WEBHOOK_INTAKE_URL="https://webhook-intake.datadoghq.com/api/v2/webhook/"

    # Configure your API key
    DATADOG_JENKINS_PLUGIN_TARGET_API_KEY=your-api-key

    # Enable CI Visibility
    DATADOG_JENKINS_PLUGIN_ENABLE_CI_VISIBILITY=true

    # (Optional) Configure your CI Instance name
    DATADOG_JENKINS_PLUGIN_CI_VISIBILITY_CI_INSTANCE_NAME=jenkins
    

    # Select the Datadog Agent mode
    DATADOG_JENKINS_PLUGIN_REPORT_WITH=HTTP

    # Endpoint URLs correspond to your Datadog site
    DATADOG_JENKINS_PLUGIN_TARGET_API_URL="https://api.datadoghq.eu/api/"
    DATADOG_JENKINS_PLUGIN_TARGET_LOG_INTAKE_URL="https://http-intake.logs.datadoghq.eu/v1/input/"
    DATADOG_JENKINS_TARGET_WEBHOOK_INTAKE_URL="https://webhook-intake.datadoghq.eu/api/v2/webhook/"

    # Configure your API key
    DATADOG_JENKINS_PLUGIN_TARGET_API_KEY=your-api-key

    # Enable CI Visibility
    DATADOG_JENKINS_PLUGIN_ENABLE_CI_VISIBILITY=true

    # (Optional) Configure your CI Instance name
    DATADOG_JENKINS_PLUGIN_CI_VISIBILITY_CI_INSTANCE_NAME=jenkins
    

    # Select the Datadog Agent mode
    DATADOG_JENKINS_PLUGIN_REPORT_WITH=HTTP

    # Endpoint URLs correspond to your Datadog site
    DATADOG_JENKINS_PLUGIN_TARGET_API_URL="https://api.dd-gov.com/api/"
    DATADOG_JENKINS_PLUGIN_TARGET_LOG_INTAKE_URL="https://http-intake.logs.dd-gov.com/v1/input/"
    DATADOG_JENKINS_TARGET_WEBHOOK_INTAKE_URL="https://webhook-intake.dd-gov.com/api/v2/webhook/"

    # Configure your API key
    DATADOG_JENKINS_PLUGIN_TARGET_API_KEY=your-api-key

    # Enable CI Visibility
    DATADOG_JENKINS_PLUGIN_ENABLE_CI_VISIBILITY=true

    # (Optional) Configure your CI Instance name
    DATADOG_JENKINS_PLUGIN_CI_VISIBILITY_CI_INSTANCE_NAME=jenkins
    

    # Select the Datadog Agent mode
    DATADOG_JENKINS_PLUGIN_REPORT_WITH=HTTP

    # Endpoint URLs correspond to your Datadog site
    DATADOG_JENKINS_PLUGIN_TARGET_API_URL="https://api.us3.datadoghq.com/api/"
    DATADOG_JENKINS_PLUGIN_TARGET_LOG_INTAKE_URL="https://http-intake.logs.us3.datadoghq.com/v1/input/"
    DATADOG_JENKINS_TARGET_WEBHOOK_INTAKE_URL="https://webhook-intake.us3.datadoghq.com/api/v2/webhook/"

    # Configure your API key
    DATADOG_JENKINS_PLUGIN_TARGET_API_KEY=your-api-key

    # Enable CI Visibility
    DATADOG_JENKINS_PLUGIN_ENABLE_CI_VISIBILITY=true

    # (Optional) Configure your CI Instance name
    DATADOG_JENKINS_PLUGIN_CI_VISIBILITY_CI_INSTANCE_NAME=jenkins
    

    # Select the Datadog Agent mode
    DATADOG_JENKINS_PLUGIN_REPORT_WITH=HTTP

    # Endpoint URLs correspond to your Datadog site
    DATADOG_JENKINS_PLUGIN_TARGET_API_URL="https://api.us5.datadoghq.com/api/"
    DATADOG_JENKINS_PLUGIN_TARGET_LOG_INTAKE_URL="https://http-intake.logs.us5.datadoghq.com/v1/input/"
    DATADOG_JENKINS_TARGET_WEBHOOK_INTAKE_URL="https://webhook-intake.us5.datadoghq.com/api/v2/webhook/"

    # Configure your API key
    DATADOG_JENKINS_PLUGIN_TARGET_API_KEY=your-api-key

    # Enable CI Visibility
    DATADOG_JENKINS_PLUGIN_ENABLE_CI_VISIBILITY=true

    # (Optional) Configure your CI Instance name
    DATADOG_JENKINS_PLUGIN_CI_VISIBILITY_CI_INSTANCE_NAME=jenkins
    

    # Select the Datadog Agent mode
    DATADOG_JENKINS_PLUGIN_REPORT_WITH=HTTP

    # Endpoint URLs correspond to your Datadog site
    DATADOG_JENKINS_PLUGIN_TARGET_API_URL="https://api.ap1.datadoghq.com/api/"
    DATADOG_JENKINS_PLUGIN_TARGET_LOG_INTAKE_URL="https://http-intake.logs.ap1.datadoghq.com/v1/input/"
    DATADOG_JENKINS_TARGET_WEBHOOK_INTAKE_URL="https://webhook-intake.ap1.datadoghq.com/api/v2/webhook/"

    # Configure your API key
    DATADOG_JENKINS_PLUGIN_TARGET_API_KEY=your-api-key

    # Enable CI Visibility
    DATADOG_JENKINS_PLUGIN_ENABLE_CI_VISIBILITY=true

    # (Optional) Configure your CI Instance name
    DATADOG_JENKINS_PLUGIN_CI_VISIBILITY_CI_INSTANCE_NAME=jenkins
    

Restart your Jenkins instance.

Validate the configuration

To verify that CI Visibility is enabled, go to Jenkins Log and search for:

Re/Initialize Datadog-Plugin Agent Http Client
TRACE -> http://<HOST>:<TRACE_PORT>/v0.3/traces

Install the Datadog Agent (optional)

The Datadog Jenkins plugin can either report metrics through the Datadog Agent or directly to Datadog if an API key is provided. If you don’t have a Datadog Agent running on the Jenkins controller instance, Datadog recommends installing it first by following the Agent installation instructions. Whether you choose to use Agentless mode or the Agent-based mode, you are required to use the plugin.

If the Jenkins controller and the Datadog Agent have been deployed to a Kubernetes cluster, Datadog recommends using the Admission Controller, which automatically sets the DD_AGENT_HOST environment variable in the Jenkins controller pod to communicate with the local Datadog Agent.

Note: Sending CI Visibility traces through UNIX domain sockets is not supported.

Configure the Agent for log collection

To enable collecting logs from your jobs, configure the Datadog Agent to listen for logs on a TCP port:

Add logs_enabled: true to your Agent’s datadog.yaml configuration file, or set the DD_LOGS_ENABLED environment variable to true.
Create a file at /etc/datadog-agent/conf.d/jenkins.d/conf.yaml with the following. Ensure the service matches the CI instance name provided earlier.
```
logs:
- type: tcp
  port: 10518
  service: my-jenkins-instance
  source: jenkins
```
Restart the Agent for the changes to take effect.

Add logs_enabled: true to your Agent’s datadog.yaml configuration file, or set the DD_LOGS_ENABLED environment variable to true.
Create a file at %ProgramData%\Datadog\conf.d\jenkins.d\conf.yaml with the following. Ensure the service matches the CI instance name provided earlier.
```
logs:
- type: tcp
  port: 10518
  service: my-jenkins-instance
  source: jenkins
```
Restart the Agent for the changes to take effect.

Add logs_enabled: true to your Agent’s datadog.yaml configuration file, or set the DD_LOGS_ENABLED environment variable to true.
Create a file at ~/.datadog-agent/conf.d/jenkins.d/conf.yaml with the following contents. Ensure the service matches the CI instance name provided earlier.
```
logs:
- type: tcp
  port: 10518
  service: my-jenkins-instance
  source: jenkins
```
Restart the Agent for the changes to take effect.

With this configuration, the Agent listens for logs on port 10518.

Correlate infrastructure metrics

If you are using Jenkins workers, you can correlate pipelines with the infrastructure that is running them. For this feature to work:

Install the Datadog Agent in every Jenkins worker.
Set and export a new environment variable called DD_CI_HOSTNAME in every Jenkins worker with the worker hostname.

It must be the same hostname that the Datadog Agent is reporting in the infrastructure metrics for that worker.
You can use fixed values or other environment variables as valid values.

export DD_CI_HOSTNAME=my-hostname

If you are using Kubernetes to manage your Jenkins instances, add the DD_CI_HOSTNAME environment variable to the pod that executes the Jenkins job. The value of this environment variable depends on what you are using in your Datadog Agent daemonset when reporting the infrastructure metrics.

This is only required for Jenkins workers. For the Jenkins controller, the infrastructure metric correlation does not require additional actions.

Note: Infrastructure metric correlation is supported since Jenkins Plugin v5.0.0+

Enable job log collection

This is an optional step that enables the collection of job logs. Both Agentless and Agent-based options are supported.

Enable with the Jenkins configuration UI

In the web interface of your Jenkins instance, go to Manage Jenkins > Configure System.
Go to the Datadog Plugin section, scrolling down the configuration screen.
Double check that Use the Datadog Agent to report to Datadog is selected and that Log Intake URL points to a URL in your current Datadog site.
Click on the Enable Log Collection checkbox to activate it.
Save your configuration.

In the web interface of your Jenkins instance, go to Manage Jenkins > Configure System.
Go to the Datadog Plugin section, scrolling down the configuration screen.
Double check that the Use the Datadog Agent to report to Datadog option is selected.
Configure the Log Collection port, as configured in the Datadog Agent.
Click on the Enable Log Collection checkbox to activate it.
Check the connectivity with the Datadog Agent.
Save your configuration.

Enable with configuration-as-code

If your Jenkins instance uses the Jenkins configuration-as-code plugin:

Modify the configuration YAML for the entry datadogGlobalConfiguration to include the following:

    unclassified:
    datadogGlobalConfiguration:
        # Endpoint URLs correspond to your Datadog site
        targetLogIntakeURL: "https://http-intake.logs.datadoghq.com/v1/input/"
        # Enable Log collection
        collectBuildLogs: true
    

    unclassified:
    datadogGlobalConfiguration:
        # Endpoint URLs correspond to your Datadog site
        targetLogIntakeURL: "https://http-intake.logs.datadoghq.eu/v1/input/"
        # Enable Log collection
        collectBuildLogs: true
    

    unclassified:
    datadogGlobalConfiguration:
        # Endpoint URLs correspond to your Datadog site
        targetLogIntakeURL: "https://http-intake.logs.dd-gov.com/v1/input/"
        # Enable Log collection
        collectBuildLogs: true
    

    unclassified:
    datadogGlobalConfiguration:
        # Endpoint URLs correspond to your Datadog site
        targetLogIntakeURL: "https://http-intake.logs.us3.datadoghq.com/v1/input/"
        # Enable Log collection
        collectBuildLogs: true
    

    unclassified:
    datadogGlobalConfiguration:
        # Endpoint URLs correspond to your Datadog site
        targetLogIntakeURL: "https://http-intake.logs.us5.datadoghq.com/v1/input/"
        # Enable Log collection
        collectBuildLogs: true
    

    unclassified:
    datadogGlobalConfiguration:
        # Endpoint URLs correspond to your Datadog site
        targetLogIntakeURL: "https://http-intake.logs.ap1.datadoghq.com/v1/input/"
        # Enable Log collection
        collectBuildLogs: true
    

In your Jenkins instance web interface, go to Manage Jenkins > Configuration as Code.
Apply or reload the configuration.
Check the configuration using the View Configuration button.

If your Jenkins instance uses the Jenkins configuration-as-code plugin:

Modify the configuration YAML for the entry datadogGlobalConfiguration to include the following:

unclassified:
datadogGlobalConfiguration:
    # Configure the `Log Collection` port, as configured in the Datadog Agent,
    targetLogCollectionPort: 10518
    # Enable Log collection
    collectBuildLogs: true

In your Jenkins instance web interface, go to Manage Jenkins > Configuration as Code.
Apply or reload the configuration.
Check the configuration using the View Configuration button.

Enable with Groovy

In your Jenkins instance web interface, go to Manage Jenkins > Script Console.
Update your configuration script to include the following:

    import jenkins.model.*
    import org.datadog.jenkins.plugins.datadog.DatadogGlobalConfiguration

    def j = Jenkins.getInstance()
    def d = j.getDescriptor("org.datadog.jenkins.plugins.datadog.DatadogGlobalConfiguration")

    // Endpoint URLs correspond to your Datadog site
    d.setTargetLogIntakeURL("https://http-intake.logs.datadoghq.com/v1/input/")

    // Enable log collection
    d.setCollectBuildLogs(true)

    // Save config
    d.save()
    

    import jenkins.model.*
    import org.datadog.jenkins.plugins.datadog.DatadogGlobalConfiguration

    def j = Jenkins.getInstance()
    def d = j.getDescriptor("org.datadog.jenkins.plugins.datadog.DatadogGlobalConfiguration")

    // Endpoint URLs correspond to your Datadog site
    d.setTargetLogIntakeURL("https://http-intake.logs.datadoghq.eu/v1/input/")

    // Enable log collection
    d.setCollectBuildLogs(true)

    // Save config
    d.save()
    

    import jenkins.model.*
    import org.datadog.jenkins.plugins.datadog.DatadogGlobalConfiguration

    def j = Jenkins.getInstance()
    def d = j.getDescriptor("org.datadog.jenkins.plugins.datadog.DatadogGlobalConfiguration")

    // Endpoint URLs correspond to your Datadog site
    d.setTargetLogIntakeURL("https://http-intake.logs.us3.datadoghq.com/v1/input/")

    // Enable log collection
    d.setCollectBuildLogs(true)

    // Save config
    d.save()
    

    import jenkins.model.*
    import org.datadog.jenkins.plugins.datadog.DatadogGlobalConfiguration

    def j = Jenkins.getInstance()
    def d = j.getDescriptor("org.datadog.jenkins.plugins.datadog.DatadogGlobalConfiguration")

    // Endpoint URLs correspond to your Datadog site
    d.setTargetLogIntakeURL("https://http-intake.logs.us5.datadoghq.com/v1/input/")

    // Enable log collection
    d.setCollectBuildLogs(true)

    // Save config
    d.save()
    

    import jenkins.model.*
    import org.datadog.jenkins.plugins.datadog.DatadogGlobalConfiguration

    def j = Jenkins.getInstance()
    def d = j.getDescriptor("org.datadog.jenkins.plugins.datadog.DatadogGlobalConfiguration")

    // Endpoint URLs correspond to your Datadog site
    d.setTargetLogIntakeURL("https://http-intake.logs.dd-gov.com/v1/input/")

    // Enable log collection
    d.setCollectBuildLogs(true)

    // Save config
    d.save()
    

    import jenkins.model.*
    import org.datadog.jenkins.plugins.datadog.DatadogGlobalConfiguration

    def j = Jenkins.getInstance()
    def d = j.getDescriptor("org.datadog.jenkins.plugins.datadog.DatadogGlobalConfiguration")

    // Endpoint URLs correspond to your Datadog site
    d.setTargetLogIntakeURL("https://http-intake.logs.ap1.datadoghq.com/v1/input/")

    // Enable log collection
    d.setCollectBuildLogs(true)

    // Save config
    d.save()
    

In your Jenkins instance web interface, go to Manage Jenkins > Script Console.

Update your configuration script to include the following:

import jenkins.model.*
import org.datadog.jenkins.plugins.datadog.DatadogGlobalConfiguration

def j = Jenkins.getInstance()
def d = j.getDescriptor("org.datadog.jenkins.plugins.datadog.DatadogGlobalConfiguration")

// Configure the Log Collection port, as configured in the Datadog Agent.
d.setTargetLogCollectionPort(10518)

// Enable log collection
d.setCollectBuildLogs(true)

// Save config
d.save()

Use environment variables

Add the following environment variables on your Jenkins instance machine:

   # Endpoint URLs correspond to your Datadog site
   DATADOG_JENKINS_PLUGIN_TARGET_LOG_INTAKE_URL="https://http-intake.logs.datadoghq.com/v1/input/"

   # Enable log collection
   DATADOG_JENKINS_PLUGIN_COLLECT_BUILD_LOGS=true
   

   # Endpoint URLs correspond to your Datadog site
   DATADOG_JENKINS_PLUGIN_TARGET_LOG_INTAKE_URL="https://http-intake.logs.datadoghq.eu/v1/input/"

   # Enable log collection
   DATADOG_JENKINS_PLUGIN_COLLECT_BUILD_LOGS=true
   

   # Endpoint URLs correspond to your Datadog site
   DATADOG_JENKINS_PLUGIN_TARGET_LOG_INTAKE_URL="https://http-intake.logs.us3.datadoghq.com/v1/input/"

   # Enable log collection
   DATADOG_JENKINS_PLUGIN_COLLECT_BUILD_LOGS=true
   

   # Endpoint URLs correspond to your Datadog site
   DATADOG_JENKINS_PLUGIN_TARGET_LOG_INTAKE_URL="https://http-intake.logs.us5.datadoghq.com/v1/input/"

   # Enable log collection
   DATADOG_JENKINS_PLUGIN_COLLECT_BUILD_LOGS=true
   

   # Endpoint URLs correspond to your Datadog site
   DATADOG_JENKINS_PLUGIN_TARGET_LOG_INTAKE_URL="https://http-intake.logs.dd-gov.com/v1/input/"

   # Enable log collection
   DATADOG_JENKINS_PLUGIN_COLLECT_BUILD_LOGS=true
   

   # Endpoint URLs correspond to your Datadog site
   DATADOG_JENKINS_PLUGIN_TARGET_LOG_INTAKE_URL="https://http-intake.logs.ap1.datadoghq.com/v1/input/"

   # Enable log collection
   DATADOG_JENKINS_PLUGIN_COLLECT_BUILD_LOGS=true
   

Restart your Jenkins instance.

Add the following environment variables on your Jenkins instance machine:

# Configure the Log Collection port, as configured in the previous step.
DATADOG_JENKINS_PLUGIN_TARGET_LOG_COLLECTION_PORT=10518

# Enable log collection
DATADOG_JENKINS_PLUGIN_COLLECT_BUILD_LOGS=true

Restart your Jenkins instance.

Enable Test Visibility

This is an optional step that enables the collection of tests data using Test Visibility.

See the Test Visibility documentation for your language to make sure that the testing framework that you use is supported.

There are different ways to enable Test Visibility inside a Jenkins job or pipeline:

Using the Jenkins configuration UI.
Adding the datadog step inside the pipeline script.
Configuring the tracer manually.

For pipelines that spin up a Docker container to execute tests, you can only configure the tracer manually.

Enable with the Jenkins configuration UI

UI-based Test Visibility configuration is available in Datadog Jenkins plugin v5.6.0 or newer.

This option is not suitable for pipelines that are configured entirely in Jenkinsfile (for example, Multibranch pipelines or pipelines from Organization Folder). For these pipelines use declarative configuration with the datadog step (described in the next section).

To enable Test Visibility via UI do the following:

In your Jenkins instance web interface, go to the job or pipeline that you want to instrument and choose the Configure option.
In the General configuration section, tick the Enable Datadog Test Visibility checkbox.
Enter the name of the service or library being tested into the Service Name input. You can choose any value that makes sense to you.
Choose the languages for which you want to enable tests instrumentation. Some of the languages do not support configuration through the UI. To configure Test Visibility for these languages, follow the manual configuration instructions.
Optionally, provide additional configuration settings.
Click Save.

Datadog Test Visibility configuration for Jenkins

Enable with the `datadog` pipeline step

This configuration option is available in Datadog Jenkins plugin v5.6.2 or newer.

In declarative pipelines, add the step to a top-level options block like so:

pipeline {
    agent any
    options {
        datadog(testVisibility: [
            enabled: true,
            serviceName: "my-service", // the name of service or library being tested
            languages: ["JAVA"], // languages that should be instrumented (available options are "JAVA", "JAVASCRIPT", "PYTHON", "DOTNET")
            additionalVariables: ["my-var": "value"]  // additional tracer configuration settings (optional)
        ])
    }
    stages {
        stage('Example') {
            steps {
                echo "Hello world."
            }
        }
    }
}

In a scripted pipeline, wrap the relevant section with the datadog step like so:

datadog(testVisibility: [ enabled: true, serviceName: "my-service", languages: ["JAVASCRIPT"], additionalVariables: [:] ]) {
  node {
    stage('Example') {
      echo "Hello world."
    }
  }
}

The other datadog settings, such as collectLogs or tags can be added alongside the testVisibility block.

Enable with manual tracer configuration

Follow the manual Test Visibility configuration instructions that are specific to your language.

Set the default branch name

To report pipeline results, attach the default branch name (for example, main) to pipeline spans in an attribute called git.default_branch. This is usually done automatically, but in some cases the plugin cannot extract this information because it might not be provided by Jenkins.

If this happens, set the default branch manually using the DD_GIT_DEFAULT_BRANCH environment variable in your build. For example:

pipeline {
    agent any
    environment {
        DD_GIT_DEFAULT_BRANCH = 'main'
        ...
    }
    stages {
        ...
    }
}

Propagate Git information from SCM

The Jenkins plugin is capable of automatically detecting Git information associated with a build or a pipeline. However, depending on the Jenkins version and the pipeline details, there may be cases when automatic Git data detection is not possible.

In this case you can make the Git information available to the plugin by using the .each {k,v -> env.setProperty(k, v)} function after executing the checkout or git steps. For example:

If you’re using a declarative pipeline to configure your pipeline, propagate Git information using a script block as follows:

Using the checkout step:

pipeline {
  stages {
    stage('Checkout') {
        script {
          checkout(...).each {k,v -> env.setProperty(k,v)}
        }
    }
    ...
  }
}

Using the git step:

pipeline {
  stages {
    stage('Checkout') {
      script {
        git(...).each {k,v -> env.setProperty(k,v)}
      }
    }
    ...
  }
}

If you’re using a scripted pipeline to configure your pipeline, you can propagate the git information to environment variables directly.

Using the checkout step:

node {
  stage('Checkout') {
    checkout(...).each {k,v -> env.setProperty(k,v)}
  }
  ...
}

Using the git step:

node {
  stage('Checkout') {
    git(...).each {k,v -> env.setProperty(k,v)}
  }
  ...
}

Set Git information manually

In case the plugin cannot detect Git information automatically and propagating Git data via SCM is not an option, the necessary Git information can be set manually.

To do so, set the following environment variables.

Note: These variables are optional, but if they are set, they take precedence over the Git information set by other Jenkins plugins.

DD_GIT_REPOSITORY (Optional): The repository URL of your service.
Example: https://github.com/my-org/my-repo.git
DD_GIT_BRANCH (Optional): The branch name.
Example: main
DD_GIT_TAG (Optional): The tag of the commit (if any).
Example: 0.1.0
DD_GIT_COMMIT_SHA (Optional): The commit expressed in the hex 40 chars length form.
Example: faaca5c59512cdfba9402c6e67d81b4f5701d43c
DD_GIT_COMMIT_MESSAGE (Optional): The commit message.
Example: Initial commit message
DD_GIT_COMMIT_AUTHOR_NAME (Optional): The name of the author of the commit.
Example: John Smith
DD_GIT_COMMIT_AUTHOR_EMAIL (Optional): The email of the author of the commit.
Example: john@example.com
DD_GIT_COMMIT_AUTHOR_DATE (Optional): The date when the author submitted the commit expressed in ISO 8601 format.
Example: 2021-08-16T15:41:45.000Z
DD_GIT_COMMIT_COMMITTER_NAME (Optional): The name of the committer of the commit.
Example: Jane Smith
DD_GIT_COMMIT_COMMITTER_EMAIL (Optional): The email of the committer of the commit.
Example: jane@example.com
DD_GIT_COMMIT_COMMITTER_DATE (Optional): The date when the committer submitted the commit expressed in ISO 8601 format.
Example: 2021-08-16T15:41:45.000Z

If you set only repository, branch and commit, the plugin will try to extract the rest of the Git information from the .git folder.

An example of usage:

pipeline {
  agent any
  stages {
    stage('Checkout') {
      steps {
        script {
          def gitVars = git url:'https://github.com/my-org/my-repo.git', branch:'some/feature-branch'

          // Setting Git information manually via environment variables.
          env.DD_GIT_REPOSITORY_URL=gitVars.GIT_URL
          env.DD_GIT_BRANCH=gitVars.GIT_BRANCH
          env.DD_GIT_COMMIT_SHA=gitVars.GIT_COMMIT
        }
      }
    }
    stage('Test') {
      steps {
        // Execute the rest of the pipeline.
      }
    }
  }
}

Customization

Set custom tags for your pipelines

The Datadog plugin adds a datadog step that allows adding custom tags to your pipeline-based jobs.

In declarative pipelines, add the step to a top-level option block:

def DD_TYPE = "release"
pipeline {
    agent any
    options {
        datadog(tags: ["team:backend", "type:${DD_TYPE}", "${DD_TYPE}:canary"])
    }
    stages {
        stage('Example') {
            steps {
                echo "Hello world."
            }
        }
    }
}

In scripted pipelines, wrap the relevant section with the datadog step:

datadog(tags: ["team:backend", "release:canary"]){
    node {
        stage('Example') {
            echo "Hello world."
        }
    }
}

Integrate with Datadog Teams

To display and filter the teams associated with your pipelines, add team:<your-team> as a custom tag. The custom tag name must match your Datadog Teams team handle exactly.

Set global custom tags

You can configure the Jenkins Plugin to send custom tags in all pipeline traces:

In the web interface of your Jenkins instance, go to Manage Jenkins > Configure System.
Go to the Datadog Plugin section, scrolling down the configuration screen.
Click on the Advanced button.
Configure the Global Tags.
Configure the Global Job Tags.
Save your configuration.

Global tags: A comma-separated list of tags to apply to all metrics, traces, events, and service checks. Tags can include environment variables that are defined in the Jenkins controller instance.
Environment variable: DATADOG_JENKINS_PLUGIN_GLOBAL_TAGS
Example: key1:value1,key2:${SOME_ENVVAR},${OTHER_ENVVAR}:value3
Global job tags: A comma-separated list of regexes to match a job and a list of tags to apply to that job. Tags can include environment variables that are defined in the Jenkins controller instance. Tags can reference match groups in the regex using the $ symbol.
Environment variable: DATADOG_JENKINS_PLUGIN_GLOBAL_JOB_TAGS
Example: (.*?)_job_(.*?)_release, owner:$1, release_env:$2, optional:Tag3

Include or exclude pipelines

You can configure the Jenkins Plugin to include or exclude some pipelines:

In the web interface of your Jenkins instance, go to Manage Jenkins > Configure System.
Go to the Datadog Plugin section by scrolling down the configuration screen.
Click on the Advanced button.
Configure the Excluded Jobs.
Configure the Included Jobs.
Save your configuration.

Excluded jobs: A comma-separated list of Jenkins jobs that should not be monitored. The exclusion applies to all metrics, traces, events, and service checks. Excluded jobs can use regular expressions to reference multiple jobs.
Environment variable: DATADOG_JENKINS_PLUGIN_EXCLUDED
Example: susans-job,johns-.*,prod_folder/prod_release
Included jobs: A comma-separated list of Jenkins job names that should be monitored. If the included jobs list is empty, all jobs that are not excluded explicitly are monitored. The inclusion applies to all metrics, traces, events, and service checks. Included jobs can use regular expressions to reference multiple jobs.
Environment variable: DATADOG_JENKINS_PLUGIN_INCLUDED
Example: susans-job,johns-.*,prod_folder/prod_release

Lists of included and excluded jobs can contain regular expressions, but not glob patterns. To include a job with a specific prefix, use prefix-.*—not prefix-*.

Visualize pipeline data in Datadog

Once the integration is successfully configured, both the Pipelines and Pipeline Executions pages populate with data after pipelines finish.

Note: The Pipelines page shows data for only the default branch of each repository.

Troubleshooting

Enable DEBUG log level for the Datadog Plugin

If you have any issues with the Datadog Plugin, you can set the logs for the plugin in DEBUG level. Using this level you are able to see stacktrace details if an exception is thrown.

In your Jenkins instance web interface, go to Manage Jenkins > System log.
Click on Add new log recorder button.
Type the log recorder name. E.g: Datadog Plugin Logs.
Add the following loggers to the list:
- Logger: org.datadog.jenkins.plugins.datadog.clients -> Log Level ALL
- Logger: org.datadog.jenkins.plugins.datadog.traces -> Log Level ALL
- Logger: org.datadog.jenkins.plugins.datadog.logs -> Log Level ALL
- Logger: org.datadog.jenkins.plugins.datadog.model -> Log Level ALL
- Logger: org.datadog.jenkins.plugins.datadog.listeners -> Log Level ALL
Save the configuration.

You may also want to split the loggers into different log recorders.

Once the log recorders are successfully configured, you can check the logs in the DEBUG mode by accessing the desired log recorder through Manage Jenkins > System log.

If you trigger a Jenkins pipeline, you can search for the message Send pipeline traces in the Datadog Plugin Logs. This message indicates that the plugin is sending CI Visibility data to the Datadog Agent.

Send pipeline traces.
...
Send pipeline traces.
...

The Datadog Plugin cannot write payloads to the server

If the following error message appears in the Jenkins Log, make sure that the plugin configuration is correct.

Error writing to server

If you are using localhost as the hostname, try to change it to the server hostname instead.
If your Jenkins instance is behind an HTTP proxy, go to Manage Jenkins > Manage Plugins > Advanced tab and make sure the proxy configuration is correct.

HTTP 504

If the HTTP 504 error message appears, make sure that the Jenkins proxy configuration is correct.

Failed to send HTTP request: PUT http://localhost:8126/v0.3/traces - Status: HTTP 504

If your Jenkins instance is behind an HTTP proxy, go to Manage Jenkins > Manage Plugins > Advanced tab and make sure the proxy configuration is correct.
Check that localhost has been configured in the No Proxy Hosts section.

The Datadog Plugin section does not appear in the Jenkins configuration

If the Datadog Plugin section does not appear in Jenkins configuration section, make sure that the plugin is enabled. To do so:

In your Jenkins instance web interface, go to Manage Jenkins > Manage Plugins.
Search for Datadog Plugin in the Installed tab.
Check that the Enabled checkbox is marked.
If you enable the plugin here, restart your Jenkins instance using the /safeRestart URL path.

The CI Visibility option does not appear in the Datadog Plugin section.

If the CI Visibility option does not appear in the Datadog Plugin section, make sure that the correct version is installed and restart the Jenkins instance. To do so:

In your Jenkins instance web interface, go to Manage Jenkins > Manage Plugins.
Search for Datadog Plugin in the Installed tab.
Check that the installed version is correct.
Restart your Jenkins instance using the /safeRestart URL path.

The Plugin’s Tracer fails to initialize due to APM Java Tracer is being used to instrument Jenkins.

If this error message appears in the Jenkins Log, make sure that you are using the Jenkins plugin v3.1.0+

Failed to reinitialize Datadog-Plugin Tracer, Cannot enable traces collection via plugin if the Datadog Java Tracer is being used as javaagent in the Jenkins startup command. This error will not affect your pipelines executions.