Why Database CDC Pipelines Break at Scale

Change Data Capture (CDC) pipelines are the backbone of modern real-time data architectures, but they often fail in production when event volume spikes or schema changes silently. Lucas and Luna walk through a real-world case from a mid-2026 fintech outage: a CDC pipeline that missed 12% of transactions during a flash sale because of unbounded log retention and missing idempotency keys. They explain the three most common failure modes—log truncation, schema drift, and backpressure stalls—and how to design for resilience. If you use Debezium, Kafka Connect, or any CDC tooling, this episode gives you concrete patterns to avoid waking up to a lagging pipeline at 3 AM. #ChangeDataCapture #CDC #DatabasePipelines #RealTimeData #KafkaConnect #Debezium #SchemaDrift #LogTruncation #Backpressure #FintechOutage #DataEngineering #StreamingData #Idempotency #DatabaseLogs #Technology #FexingoBusiness #BusinessPodcast #DatabaseTech Keep every episode free: buymeacoffee.com/fexingo