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title tags metaDescription redirects
Data Ingest Governance
Observability maturity
Operational efficiency
Data ingest governance
Sampling rate
Drop rules
Observability as code
Value drivers
Bill and Usage Data
Data ingest cost
Data ingest governance is the practice of ensuring optimal value for telemetry data collected.
/docs/telemetry-data-platform/manage-data/data-governance
/docs/data-governance
/docs/telemetry-data-platform/get-started/manage-data/data-governance
/telemetry-data-platform/get-started/manage-data/data-governance

import baseliningicon from './images/oma-dg-baseline-icon.png'

Overview [#overview]

Data ingest governance is the practice of ensuring optimal value for telemetry data collected. This practice is especially important to complex organizations with numerous business units and working groups. This guide is for readers who need granularity that goes beyond the data management views in New Relic One.

Desired outcome [#desired-outcome]

Ensure a high return on investment in telemetry data.

Reduce redundant or unnecessary data with confidence.

Understand exactly which groups within the org are contributing which data. Expose where your telemetry data is coming from and reduce data management silos.

Account for ingest costs in a clear and concise way. Adjust your ingest volume with full context of the observability value of the data.

Process [#process]

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This guide is built around several modules that should be adopted in order as part of a complete practice. These include:

Additional resources [#additional-resources]

Manage Incoming Data

Data Management Hub

Drop Data Using Nerdgraph

Alert on Data Ingest Anomalies

Automating Telemetry Workflows

Metrics Aggregation and Events to Metrics