Production Foundation
Built on production knowledge, not a blank slate.
Tapstate carries forward years of enterprise CDC and operational data experience—connector behavior, production edge cases, tests, failure recovery, and operating lessons—refocused into one path from committed change to live operational state.
The implementation is new. The knowledge compounds.
- Production environments
- Connector edge cases
- Tests & issue history
- Operating lessons
Accumulated engineering knowledge
Encoded in software and tests
Capture · Transform · Serve
Live operational state
What carries forward
Production knowledge compounds.
Reliable CDC is learned in real systems: across database versions, transaction semantics, unusual write patterns, failures, fixes, and repeated operation.
Connector knowledge
Transaction logs, source semantics, version differences, and unusual configurations.
Tests & issue history
Previously observed failures become regression tests, compatibility rules, and behavior the system should not repeat.
Production edge cases
Legacy applications, unconventional transactions, malformed writes, and surprising schemas.
Operating lessons
Consistency, observability, recovery, maintenance, and confidence after deployment.
Production behavior is the real specification.
Production discipline
Correctness is maintained, not assumed.
Production CDC depends on source databases, transaction semantics, networks, applications, and destination systems outside any one product's control. The operating discipline is to observe committed change, validate recent state, detect inconsistency, recover from known progress, and turn incidents into stronger future behavior.
- 01
Observe
Trace committed change through the path.
- 02
Validate
Continuously examine recent state.
- 03
Detect
Surface inconsistency early.
- 04
Recover
Continue from known progress.
- 05
Learn
Turn incidents into stronger tests.
Confidence is engineered continuously.
From TapData to Tapstate
A complete rewrite, informed by production history.
Tapstate is being rebuilt from the ground up by the team behind TapData. The implementation is new; connector knowledge, tests, issue history, and production lessons are deliberately carried forward.
That experience is now refocused around Capture, Transform, and Serve as one operational path to live operational state.
Knowledge carried forward
- Connector knowledge
- Tests & issue history
- Production edge cases
- Operating lessons
Tapstate focus
- Capture
- Transform
- Serve
- Consistency
- Observability
- Maintainability
The continuity is the accumulated knowledge—not the implementation.
See what changes when one platform owns the path.
Compare Tapstate with a typical assembled stack, or walk through your deployment path with us.