Enrich Default Catalog

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Automatic discovery

Datadog Service Catalog is pre-populated with entries detected through APM, eBPF-based autodiscovery with Universal Service Monitoring, and RUM applications.

With APM, Datadog can automatically discover the dependencies for an instrumented service, such as a database, a queue, or a third-party API, even if that dependency hasn’t been instrumented yet. These uninstrumented dependencies are categorized as separate services. With the new inferred entities experience, you can filter Service Catalog entries by entity type, such as database, queue, or third-party API.

Enrich auto-detected services with metadata

To specify on-call, source code, or documentation for your services, you can add metadata to any existing services via the UI, APIs, or other automation. 2.2 is the recommended version. To try experimental features, you can opt into the beta program for schema 3.0 by submitting a request.

Opt in to the private beta for metadata schema v3.0!

Request Access

Service Definition Schema (v2.2) (Recommended)

The Service Definition Schema is a structure that contains basic information about a service. See the full schema on GitHub.

Example

service.datadog.yaml

schema-version: v2.2
dd-service: shopping-cart
team: e-commerce
application: shopping-app
tier: "1"
type: web
languages:
  - go
  - python
contacts:
  - type: slack
    contact: https://yourorg.slack.com/archives/e-commerce
  - type: email
    contact: ecommerce@example.com
  - type: microsoft-teams
    contact: https://teams.microsoft.com/example
links:
  - name: Runbook
    type: runbook
    url: http://runbook/shopping-cart
  - name: Source
    type: repo
    provider: github
    url: https://github.com/shopping-cart
  - name: Deployment
    type: repo
    provider: github
    url: https://github.com/shopping-cart
  - name: Config
    type: repo
    provider: github
    url: https://github.com/consul-config/shopping-cart
  - name: E-Commerce Team
    type: doc
    provider: wiki
    url: https://wiki/ecommerce
  - name: Shopping Cart Architecture
    type: doc
    provider: wiki
    url: https://wiki/ecommerce/shopping-cart
  - name: Shopping Cart RFC
    type: doc
    provider: google doc
    url: https://doc.google.com/shopping-cart
tags:
  - business-unit:retail
  - cost-center:engineering
integrations:
  pagerduty:
    service-url: https://www.pagerduty.com/service-directory/PSHOPPINGCART
  opsgenie:
    service-url: "https://www.opsgenie.com/service/uuid"
    region: "US"
ci-pipeline-fingerprints:
  - id1
  - id2
extensions:
  additionalProperties:
    customField1: customValue1
    customField2: customValue2

Find Service Catalog actions

To explore the complete set of actions specifically related to Service Catalog, navigate to the Datadog Action Catalog. Filter for the actions you need:

Access the Action Catalog: Look for the Action Catalog within your Datadog Workflow Automation environment.
Search Functionality: Use the search bar to search for keywords like “Service Catalog” or more specific terms related to desired actions (for example, “get service dependencies”).

Available Service Catalog Actions

Below is a comprehensive list of actions available for Service Catalog in Datadog Workflow Automation. Note that this list may evolve as new actions are added.

Retrieve Service Information
- “Get service definition” for a single service
- “List service definitions” to get all definitions from Datadog Service Catalog
- “Get service dependencies” to get a service’s immediate upstream and downstream services
Incident Triage
- “Get service PagerDuty on call”
- When integrated with other actions, you can trigger workflows based on critical events (for example, execute runbooks).

Change the service color

The service color is used in trace visualizations. Click the service type icon to change it.

Click the service icon to select a different icon color.

Update the service type and language

With Service Catalog metadata schema 2.2, you can specify the type and language for user-defined services or overwrite the auto-detected type and language for instrumented services. Correctly label the service type and language to help other teams further understand what your services do and how to interact with them.