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Config Management

Lesson status

This lesson is a focused outline. Expand with the linked IBM docs.

Getting a service working on one gateway is step one. Promoting that configuration cleanly through dev → test → prod, repeatably, is what makes a DataPower estate maintainable.

Export / import​

Because configuration is object-based and domain-scoped, you can move it as a unit:

  • Export a whole domain or selected objects, including referenced files (stylesheets, scripts, certs as appropriate).
  • Import into another domain or device.

Deployment policies​

Environments differ — hostnames, ports, credentials, backend URLs. A deployment policy rewrites these environment-specific values during import, so the same package promotes everywhere without hand-editing:

  • Accept / filter / modify rules applied to objects on import.
  • Change backend host/port, drop dev-only objects, set environment values.

CI/CD for DataPower​

  • Keep configuration and source artifacts (stylesheets, GatewayScript, schemas) in version control.
  • Drive deployment through the REST management interface with a deployment policy per environment.
  • Validate after deploy by checking op-state and running smoke tests.

Outline: topics to expand​

  • Export formats and what to include/exclude.
  • Writing deployment-policy rules for host/port/credential substitution.
  • Secrets handling (don't bake credentials into packages).
  • Blue/green and rolling updates with container edition on Kubernetes.

Reference​

  • IBM Docs: Configuration management, Deployment policy, and the REST management interface in the DataPower documentation.

Knowledge Check

What problem does a deployment policy solve during config import?