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Jenkins is an automation server with continuous integration and delivery features. With its plugin architecture, Jenkins can be customized to fit any CI/CD need and automates all aspects of project development, testing, and deployment.
Set up tracing in Jenkins to collect data across various stages of your pipeline executions, identify performance bottlenecks, resolve operational challenges, and refine your deployment processes.
Pipeline Visibility | Platform | Definition |
---|---|---|
Manual steps | Manual steps | View manually triggered pipelines. |
Queue time | Queue time | View the amount of time pipeline jobs sit in the queue before processing. |
Logs correlation | Logs correlation | Correlate pipeline spans to logs and enable job log collection. |
Infrastructure metric correlation | Infrastructure metric correlation | Correlate jobs to infrastructure host metrics for Jenkins workers. |
Custom spans | Custom spans | Configure custom spans for your pipelines. |
Custom pre-defined tags | Custom pre-defined tags | Set custom tags to all generated pipeline, stages, and job spans. |
Custom tags and measures at runtime | Custom tags and measures at runtime | Configure custom tags and measures at runtime. |
Parameters | Parameters | Set custom parameters (such as the default branch name or Git information) when a pipeline is triggered. |
Pipeline failure reasons | Pipeline failure reasons | Identify pipeline failure reasons from error messages. |
Running pipelines | Running pipelines | View pipeline executions that are running. Requires Jenkins plugin version >= 8.0.0 |
The following Jenkins versions are supported:
This integration supports both Agentless and Agent-based installation. Installing the Agent is required for infrastructure metrics correlation.
Skip this step if you do not need infrastructure metrics correlation.
Install Datadog Agent on your Jenkins controller node and on your worker nodes by following the Agent installation instructions.
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.
If you want to report the logs of your Jenkins jobs to Datadog, make sure that custom log collection over TCP is enabled and configured in the Agent.
If your Agent runs in a container, add the DD_DOGSTATSD_NON_LOCAL_TRAFFIC=true
environment variable to it and make sure the following ports are accessible by the Jenkins controller:
8125/udp
8126/tcp
10518/tcp
Install and enable the Datadog Jenkins plugin v3.1.0 or later:
Datadog Plugin
.Datadog Plugin
on the Installed tab.There are several ways you can configure the Datadog Jenkins plugin.
Use this option to make the Jenkins plugin report directly to Datadog without using the Datadog Agent. It requires an API Key.
Datadog Plugin
section, scrolling down the configuration screen.Use Datadog API URL and Key to report to Datadog
.datadoghq.com
, change the Datadog API URL
, Log Intake URL
, and Webhook Intake URL
to point to your Datadog site.Datadog API Key
.Enable CI Visibility
checkbox.Datadog Plugin
section, scrolling down the configuration screen.Use the Datadog Agent to report to Datadog
.Agent
host.Traces Collection Port
if not using the default port 8126
.Enable CI Visibility
checkbox.If your Jenkins instance uses the Jenkins configuration-as-code
plugin:
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"
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 `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.
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()
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()
# 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
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.
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
If you are using Jenkins workers, you can correlate pipelines with the infrastructure that is running them. For this feature to work:
DD_CI_HOSTNAME
in every Jenkins worker with the worker hostname.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 or later.
This is an optional step that enables the collection of job logs. Both Agentless and Agent-based options are supported.
Datadog Plugin
section, scrolling down the configuration screen.Use the Datadog Agent to report to Datadog
is selected and that Log Intake URL
points to a URL in your current Datadog site.Enable Log Collection
checkbox to activate it.Datadog Plugin
section, scrolling down the configuration screen.Use the Datadog Agent to report to Datadog
option is selected.Log Collection
port, as configured in the Datadog Agent.Enable Log Collection
checkbox to activate it.If your Jenkins instance uses the Jenkins configuration-as-code
plugin:
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
View Configuration
button.If your Jenkins instance uses the Jenkins configuration-as-code
plugin:
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
View Configuration
button. 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()
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()
# 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
# 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
Logs are billed separately from CI Visibility. Log retention, exclusion, and indexes are configured in Log Management. Logs for Jenkins jobs can be identified by the source:jenkins
tag.
This is an optional step that enables the collection of tests data using Test Optimization.
See the Test Optimization documentation for your language to make sure that the testing framework that you use is supported.
There are different ways to enable Test Optimization inside a Jenkins job or pipeline:
datadog
step inside the pipeline script.For pipelines that spin up a Docker container to execute tests, you can only configure the tracer manually.
UI-based Test Optimization configuration is available in Datadog Jenkins plugin v5.6.0 or later.
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 Optimization through the UI do the following:
datadog
pipeline stepThis configuration option is available in Datadog Jenkins plugin v5.6.2 or later.
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.
Follow the manual Test Optimization configuration instructions that are specific to your language.
Some features of the Datadog Jenkins plugin need Git information associated with the Jenkins builds to work correctly.
The minimum required Git info for a build is repository URL, branch, commit SHA, and commit author email. This information can be determined by the plugin automatically, propagated from SCM, provided manually with environment variables, or obtained by combining these approaches.
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)}
}
...
}
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)https://github.com/my-org/my-repo.git
DD_GIT_BRANCH
(Optional)main
DD_GIT_TAG
(Optional)0.1.0
DD_GIT_COMMIT_SHA
(Optional)faaca5c59512cdfba9402c6e67d81b4f5701d43c
DD_GIT_COMMIT_MESSAGE
(Optional)Initial commit message
DD_GIT_COMMIT_AUTHOR_NAME
(Optional)John Smith
DD_GIT_COMMIT_AUTHOR_EMAIL
(Optional)john@example.com
DD_GIT_COMMIT_AUTHOR_DATE
(Optional)2021-08-16T15:41:45.000Z
DD_GIT_COMMIT_COMMITTER_NAME
(Optional)Jane Smith
DD_GIT_COMMIT_COMMITTER_EMAIL
(Optional)jane@example.com
DD_GIT_COMMIT_COMMITTER_DATE
(Optional)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.
}
}
}
}
You can configure the Jenkins Plugin to include or exclude specific pipelines:
Datadog Plugin
section by scrolling down the configuration screen.Advanced
button.Excluded Jobs
.Included Jobs
.DATADOG_JENKINS_PLUGIN_EXCLUDED
susans-job,johns-.*,prod_folder/prod_release
DATADOG_JENKINS_PLUGIN_INCLUDED
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-*
.
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 {
...
}
}
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."
}
}
}
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.
You can configure the Jenkins Plugin to send custom tags (like global tags and global job tags) in all pipeline traces:
Datadog Plugin
section, scrolling down the configuration screen.Advanced
button.Global Tags
.Global Job Tags
.DATADOG_JENKINS_PLUGIN_GLOBAL_TAGS
key1:value1,key2:${SOME_ENVVAR},${OTHER_ENVVAR}:value3
$
symbol.DATADOG_JENKINS_PLUGIN_GLOBAL_JOB_TAGS
(.*?)_job_(.*?)_release, owner:$1, release_env:$2, optional:Tag3
Once the integration is successfully configured, both the CI Pipeline List and Executions pages populate with data after pipelines finish.
The CI Pipeline List page shows data for only the default branch of each repository. For more information, see Search and Manage CI Pipelines.
When reporting an issue to the Datadog support team, generate a plugin diagnostic flare and provide it along with the issue description.
To generate the flare do the following:
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.
Add new log recorder
button.org.datadog.jenkins.plugins.datadog.clients
-> Log Level ALL
org.datadog.jenkins.plugins.datadog.traces
-> Log Level ALL
org.datadog.jenkins.plugins.datadog.logs
-> Log Level ALL
org.datadog.jenkins.plugins.datadog.model
-> Log Level ALL
org.datadog.jenkins.plugins.datadog.listeners
-> Log Level ALL
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.
...
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:
No Proxy Hosts
section.No Proxy Hosts
section. The table below shows the supported Datadog sites and their corresponding host values:Datadog site | Host value |
---|---|
US1 | datadoghq.com |
US3 | us3.datadoghq.com |
US5 | us5.datadoghq.com |
EU1 | datadoghq.eu |
AP1 | ap1.datadoghq.com |
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, change it to the server hostname instead.
If the Datadog plugin is configured to send data to a Datadog Agent, do the following:
If the Datadog Plugin section does not appear in Jenkins configuration section, make sure that the plugin is enabled. To do so:
Datadog Plugin
in the Installed tab.Enabled
checkbox is marked./safeRestart
URL path.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:
Datadog Plugin
in the Installed tab./safeRestart
URL path.Make sure you have gone through the steps to correlate infrastructure metrics with Jenkins pipelines.
If, even after following the steps, infrastructure metrics are still not correlated with Jenkins pipelines, try restarting the Jenkins instance.