II.
Workflow overview
Reference · liveworkflow:cdc-pipeline-validation
CDC Pipeline Validation overview
Validates change data capture pipelines after source schema changes or connector upgrades — verifying Debezium/CDC connector configuration correctness, testing schema evolution compatibility, measuring consumer lag against SLA thresholds, checking exactly-once delivery guarantees, validating dead-letter queue handling, and confirming end-to-end data consistency between source and sink. Excludes CDC architecture design.
Attributes
displayName
CDC Pipeline Validation
workflowKind
data
triggerType
event-driven
typicalCadence
per-change
complexity
cross-team
description
Validates change data capture pipelines after source schema changes or
connector upgrades — verifying Debezium/CDC connector configuration
correctness, testing schema evolution compatibility, measuring consumer lag
against SLA thresholds, checking exactly-once delivery guarantees,
validating dead-letter queue handling, and confirming end-to-end data
consistency between source and sink. Excludes CDC architecture design.
Outgoing edges
applies_to_domain2
- domain:data-science·DomainData Science
- domain:databases·DomainDatabases
involves_role3
- role:data-scientist·RoleData Scientist
- role:database-administrator·RoleDatabase Administrator
- role:platform-engineer·Role
performed_by_org_unit2
- org-unit:data-platform-team·OrgUnitData Platform Team
- org-unit:database-team·OrgUnitDatabase Team
requires_skill_area2
- skill-area:kafka-stream-processing·SkillAreaKafka Stream Processing
- skill-area:python-data-pipelines·SkillAreaPython Data Pipelines
triggers_responsibility2
- responsibility:data-quality-monitoring·ResponsibilityData quality monitoring
- responsibility:respond-incidents·ResponsibilityRespond to production incidents
Incoming edges
None.