This is a supply buildpack for Cloud Foundry. It installs the following three binaries in the container your application is running on:
- Datadog Dogstatsd for submitting custom metrics from your application
- Datadog Trace Agent for submitting APM traces from your application
- Datadog IoT Agent for submitting your application logs
Download the latest Datadog buildpack release or build it and upload it to your Cloud Foundry environment.
- Upload buildpack for the first time
cf create-buildpack datadog-cloudfoundry-buildpack datadog-cloudfoundry-buildpack.zip 99 --enable
- Update existing buildpack
cf update-buildpack datadog-cloudfoundry-buildpack -p datadog-cloudfoundry-buildpack.zip
Once it is available in your Cloud Foundry environment, configure your application to use the Datadog buildpack by specifying it in your application manifest.
Note: Since this is a supply buildpack, it has to be specified before any final buildpack in the list. See Cloud Foundry documentation for details about pushing an application with multiple buildpacks.
All options supported by the Agent in the main datadog.yaml configuration file can also be set through environment variables as described in the Agent documentation.
Set an API Key in your environment to enable the Datadog Agents in the buildpack. The following code samples specify the env section of the application manifest.
env:
DD_API_KEY: <DATADOG_API_KEY>For an overview about tags, read Getting Started with Tags.
Custom tags can be configured with the environment variable DD_TAGS. These tags will be attached to the application logs, metrics, and traces as span tags.
By default, DD_TAGS is expected to be a comma separated list of tags.
env:
DD_TAGS: "key1:value1,key2:value2,key3:value3"To use a different separator, set DD_TAGS_SEP to the desired separator.
env:
DD_TAGS: "key1:value1 key2:value2 key3:value3"
DD_TAGS_SEP: " "Instrument your application to send custom metrics and APM traces through DogStatsD and the Datadog Trace Agent. Download and import the relevant libraries to send data. To learn more, check out the DogSatsD documentation and APM documentation.
| Variable | Description |
|---|---|
DD_APM_INSTRUMENTATION_ENABLED |
Use this option to automatically instrument your application, without any additional installation or configuration steps. See Single Step APM Instrumentation. |
DD_WAIT_TRACE_AGENT |
Use this option to delay the startup of the application until the Trace Agent is ready. This option is especially useful for Golang apps. |
Enable log collection
To collect logs from your application in CloudFoundry, the Agent contained in the buildpack needs to be activated with log collection enabled.
env:
DD_API_KEY: <DATADOG_API_KEY>
DD_LOGS_ENABLED: true
# Disable the Agent core checks to disable system metrics collection
DD_ENABLE_CHECKS: false
# Redirect Container Stdout/Stderr to a local port so the agent can collect the logs
STD_LOG_COLLECTION_PORT: <PORT>
# Configure the agent to collect logs from the wanted port and set the value for source and service
LOGS_CONFIG: '[{"type":"tcp","port":"<PORT>","source":"<SOURCE>","service":"<SERVICE>"}]'Configure log collection
The following environment variables are used to configure log collection.
| Variable | Description |
|---|---|
STD_LOG_COLLECTION_PORT |
Must be used when collecting logs from stdout/stderr. It redirects the stdout/stderr stream to the corresponding local port value. |
LOGS_CONFIG |
Use this option to configure the Agent to listen to a local TCP port and set the value for the service and source parameters. The port specified in the configuration must be the same as specified in the environment variable STD_LOG_COLLECTION_PORT. |
SUPPRESS_DD_AGENT_OUTPUT |
Use this option to see the Datadog agent, Trace agent and DogStatsD logs in the cf logs output. |
DD_SPARSE_APP_LOGS |
Use this option to avoid losing log lines when app sparsely writes to STDOUT. |
Example
An app01 Java application is running in Cloud Foundry. The following configuration redirects the container stdout/stderr to the local port 10514. It then configures the Agent to collect logs from that port while setting the proper value for service and source:
env:
DD_API_KEY: <DATADOG_API_KEY>
DD_LOGS_ENABLED: true
DD_ENABLE_CHECKS: false
STD_LOG_COLLECTION_PORT: 10514
LOGS_CONFIG: '[{"type":"tcp","port":"10514","source":"java","service":"app01"}]'This feature requires the Datadog Cluster Agent to be installed. See Datadog Cluster Agent BOSH Release.
Unified service tagging ties Datadog telemetry together using three reserved tags: env, service, and version. In Cloud Foundry, they are set through the application labels/annotations and DD_ENV, DD_SERVICE and DD_VERSION environment variables, as shown in the example below:
env:
DD_ENV: <ENV_NAME>
DD_SERVICE: <SERVICE_NAME>
DD_VERSION: <VERSION>
metadata:
labels:
tags.datadoghq.com/env: <ENV_NAME>
tags.datadoghq.com/service: <SERVICE_NAME>
tags.datadoghq.com/version: <VERSION>The tags.datadoghq.com prefix is part of the Agent Autodiscovery notation as described in Basic Agent Autodiscovery documentation.
You can find more information in the Unified Service Tagging documentation.
This feature requires both the Datadog Agent and the Datadog Cluster Agent to be installed. See Datadog Agent BOSH Release and Datadog Cluster Agent BOSH Release.
You can enable the collection of your application metadata (labels and annotations) as tags in your application logs, traces and metrics by setting the environment variable DD_ENABLE_CAPI_METADATA_COLLECTION to true.
Note: Enabling this feature might trigger a restart of the Datadog Agent when the application metadata are updated, depending on the cloud_foundry_api.poll_interval on the Datadog Cluster Agent. On average, it takes around 20 seconds to restart the agent.
If you're running Docker on Cloud Foundry, review the docker directory to adapt this buildpack to use in a dockerfile.
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