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Software Catalog provides a centralized, dynamic view of your software ecosystem, enabling teams to track ownership, monitor performance, manage dependencies, and enforce security and compliance standards—all in one place.
Built on real-time telemetry and automated metadata collection, Software Catalog extends beyond traditional software catalogs by offering integrations with observability, security, and cost management tools. It empowers engineering, SRE, security, and platform teams to maintain visibility, streamline operations, and ensure service reliability at scale.
Explore what Software Catalog has to offer:
For general information, see Role Based Access Control and Role Permissions.
The Software Catalog read permission allows a user to read Software Catalog data, which enables the following features:
/api/v2/services/definition/<service_name>
The permission is enabled by default in the Datadog Read Only Role and Datadog Standard Role.
The Software Catalog write permission allows a user to modify Software Catalog data. The write permission is required for the following features:
POST /api/v2/services/definitions
endpointDELETE /api/v2/services/definition/<service_name>
endpointThe permission is enabled by default in the Datadog Admin Role and Datadog Standard Role.
Every monitored service is associated with a type. Datadog automatically determines this type based on the span.type
attribute attached to incoming spans data. The type specifies the name of the application or framework that the Datadog Agent is integrating with.
For example, if you use the official Flask Integration, the Type
is set to “Web”. If you are monitoring a custom application, the Type
appears as “Custom”.
The type of the service can be one of:
Some integrations alias to types. For example, Postgres, MySQL, and Cassandra map to the type “DB”. Redis and Memcache integrations map to the type “Cache”.
Every entry showing up in the Software Catalog is categorized as a component type:
Datadog populates Software Catalog entries and determines their associated component type based on collected span attributes for APM (peer tags), but also based other collected telemetry types (USM, DSM, RUM, etc…).
Note: The component supersedes the type
filter (derived from the span.type
span attribute), as it detects more reliably and more granularly the different entity types. For instance, you can filter by datastore technology using the datastore type
facet.
The services and resources statistics, and span summaries on the Service List and Service Page are retained for up to 30 days. For customized queries on APM trace metrics, use Metric Explorer. Learn more about data retention for APM.
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