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Data gravity

As explained in Cloud Observability in Action

Data gravity is the tendency for large or important data stores to attract related applications, services, and infrastructure toward their environment.

Data gravity is the tendency for the environment containing most of an organization's data to attract its primary applications, services, and infrastructure. Moving data between on-premises systems and cloud providers, or between clouds, consumes time and money through transfer costs. section 5.6.1

In observability, data gravity makes backend placement a long-term decision. Ingestion, storage, and query costs accumulate, while transferring signals between separate backends can create substantial export–import costs. Different signal types may require different backends, so interoperability matters. section 5.6.1 section 5.7

Use data gravity when selecting backend environments:

  • Place data where its dominant environment minimizes unnecessary transfer between on-premises and cloud or between cloud providers. section 5.6.1
  • Compare ingestion, retention, storage, and query costs rather than evaluating storage price alone. section 5.6.1
  • Prefer open query languages and wire formats to reduce lock-in when signals use multiple backends. section 5.7

How Cloud Observability in Action covers it

How deep it goes
Explains the environmental effect and operational consequences, but stops short of modeling application placement or transfer volumes.
Examples
Contrasts on-premises and cloud environments, multiple cloud providers, and separate backends for different signal types.
What you can do after
Evaluate backend choices by transfer, ingestion, storage, query, retention, and interoperability costs.
How it connects
Connects backend selection to observability signals, data transfer costs, interoperability, and vendor lock-in.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Cloud Observability in Action. The section links point to the parts of the book it draws on.