Pipeline sprawl
Every new source, target, and team multiplies delivery and support paths.
RISK / INCONSISTENCYBuild, deploy, observe, and recover every Flink CDC pipeline through one production lifecycle.
At scale, release, diagnosis, recovery, and governance become the real constraints.
Every new source, target, and team multiplies delivery and support paths.
RISK / INCONSISTENCYSplit metrics, logs, and recovery history slow diagnosis.
RISK / RECOVERY TIMEOpen-source components leave production standards and support ownership to the platform team.
RISK / PLATFORM LOADKeep Apache Flink CDC as the data-movement foundation. Add one enterprise lifecycle for delivery, control, and recovery.
Move every CDC job through one development, validation, and deployment path.
Keep metrics, logs, alerts, and history with the workload.
Standardize recovery and production changes without losing ownership or auditability.
Apply access, audit, and production standards consistently as the estate grows.
Test a representative source, target, and failure mode. Prove both initial delivery and day-two operations.
Choose a representative source, target, schema, and daily volume.
Validate authoring, configuration, and deployment responsibilities.
Review runtime signals, alert context, and fleet-level oversight.
Exercise recovery and operational change with clear ownership.
Source and sink support, schema evolution and delivery semantics vary by connector and version. Use a representative pipeline to validate the required behavior.
Review compatibility and evaluation requirementsWe’ll turn job volume, data scale, system mix, recovery objectives, and deployment constraints into a practical POC.