Data Integration & CDC Pipelines
Change data capture and streaming pipelines — built to be watched.
What we build
Modern systems rarely live in one database. We design and run change-data-capture (CDC) pipelines that move data where it is needed — operational databases to warehouses, events to search indexes, production to analytics — using Debezium and Kafka Connect as the backbone.
- CDC pipeline design, deployment and operation
- PostgreSQL as a source (logical decoding) and as a target
- Schema evolution and topic management
- Downstream consumers: warehouses, search, caches, notifications
Pipelines that report on themselves
The weak spot of most CDC setups is not the plumbing — it is the silence when something stalls. Our own Java wrapper around Debezium / Kafka Connect keeps watch over every connector:
- Initialization: health tracking through snapshot and first streaming — the phase where pipelines usually get stuck
- Steady state: continuous monitoring of connectors and tasks in normal operation
- Visibility: everything is exposed as JMX metrics and lands on Grafana dashboards you can alert on
Where the tool is heading
Monitoring is the start, not the destination.
01
Diagnose
Not just "connector down" — the tool works toward explaining why a CDC pipeline failed, from the metrics it already collects.
02
Assist
An AI module turns diagnoses into recommended fixes, so operators resolve failures faster and with less guesswork.
03
Auto-fix
Eventually: let the tool apply known remediations itself — the pipeline that not only reports, but recovers.
Moving data between systems?
Tell us what flows where — we will tell you how CDC with proper health monitoring fits.