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Backup and Recovery

Backup and recovery planning defines how production data, configuration, and operating evidence can be restored after a failure or operational mistake. The exact implementation depends on deployment model, customer hosting responsibilities, database and storage architecture, and compliance requirements.

Prerequisites

Confirm the deployment model, data classification, customer retention policy, hosting owner, backup owner, recovery owner, and production support path before approving a recovery plan.

Recovery planning flow

Inputs

InputWhy it matters
Protected assetsDatabases, object storage, uploaded files, configuration, integration settings, audit records.
Recovery objectiveExpected recovery point and recovery time for the business process.
Deployment modelDetermines whether DataMesh, customer IT, or hosting provider operates backups.
Retention policyDetermines how long backups and operational evidence should be kept.
Restore approvalDefines who can request and approve recovery actions.
Validation dataDefines how restored data and workflows are verified.

Backup scope

ScopeInclude in planning
Tenant configurationTenant settings, product packages, roles, project settings, integration configuration.
Operational dataAssets, work orders, inspection records, documents, datasets, workflow records, audit evidence.
Files and mediaECM documents, uploaded resources, generated reports, media files, import artifacts.
Integration stateConnector schedules, sync status, service identities, external source mapping.
AI workflow evidenceRun records, prompts or inputs where retained by policy, validation handoff, action records.

Restore validation

  1. Select a restore scenario, such as accidental deletion, environment failure, or integration corruption.
  2. Confirm the backup point and restore target.
  3. Restore into the approved target environment.
  4. Validate user login and tenant access.
  5. Validate product data, file access, connector state, and representative workflows.
  6. Record restore time, data point, differences, and owner sign-off.

Expected result

The recovery plan is acceptable when the customer and DataMesh team know what is protected, who can request restore, who approves restore, which environment is used for restore validation, and what evidence proves recovery succeeded.

Routine review

Review backup and recovery expectations after deployment model changes, major releases, integration changes, data retention changes, customer audit requests, and production incidents. Schedule restore tests according to the customer's operational risk and compliance requirements.

Troubleshooting recovery gaps

SymptomCheck
Backup ownership is unclearDeployment model, hosting owner, database owner, storage owner, and support contract.
Restore test cannot startRestore target, approval owner, backup point, credentials, or test data scope.
Restored data is incompleteProtected asset list, object storage, external source dependency, or retention window.
Recovery objective is unrealisticData volume, network path, restore automation, business priority, and validation steps.