Data Pipelines

groundcover provides powerful capabilities to manipulate incoming Telemetry in order to better serve your observability needs.

Only admins can access and change the data pipelines rules

Understanding Data Flow: Ingested → Filtered → Stored

When telemetry data flows through groundcover, it passes through three stages:

Stage	Description
Ingested	Data received by the groundcover backend from sensors or collectors
Filtered	Data removed by pipeline rules (drop logs, filter traces) before storage
Stored	Data persisted to storage after filtering

You can monitor these stages using the Ingestion data source in the Data Explorer. This helps you track the effectiveness of your filtering rules and understand your storage volume.

Stored metrics are currently available for logs and traces only. Metrics cardinality data is available on the Metric Summary page.

Pipeline Types

The following sub-pages explain each pipeline type:

• Logs Pipeline

• Traces Pipeline

• Metrics Aggregation