Apiome CDC
Row-level change capture from your databases into apiome-db with exactly-once delivery.
Apiome CDC captures inserts, updates, and deletes from PostgreSQL WAL, MySQL binlog, MongoDB oplog, Oracle LogMiner, and SQL Server CDC, streaming them into apiome-db with exactly-once delivery. Powered by Debezium, Maxwell, or PgLogical, with DDL change handling, snapshot backfill, and a real-time lag monitor.
What ships with CDC
Every CDC surface is wired into the rest of the Apiome platform — no glue code, no separate identity, no bolt-on integrations.
Live capture stream viewer
A three-pane viewer pairs a table selector with a real-time INSERT/UPDATE/DELETE stream and field-level before/after diffs.
Multi-database source support
Capture from PostgreSQL, MySQL, MongoDB, Oracle, and SQL Server with per-source table and column filters.
Replication slot monitoring
Track LSN and binlog positions, WAL retention, and slot lag, catching dead slots before they cause disk pressure.
DDL change handling
Detect added columns, type changes, and renamed tables, then merge them automatically or manually into class definitions.
Snapshot backfill
Manage initial snapshot loads table by table with chunk sizing, watermark tracking, and a clean live-CDC switchover point.
Real-time lag monitoring
See seconds-behind-source per table with trend charts, SLA breach detection, and configurable alert thresholds.
A look inside Apiome CDC
Live design previews from the CDC mockup pack — 9 surfaces in total.
Monitor active slots by LSN or binlog position, WAL retention size, and slot lag with dead-slot alerts before disk pressure builds.
Detects source DDL changes and offers automated or manual merge resolution against the apiome Class definition.
Real-time seconds-behind-source per table with lag trend charts, SLA breach detection, and alert thresholds.
Use cases
CDC is designed around the way real teams actually work — not the way a tool wants them to work.
Mirror an operational Postgres into apiome-db in real time with exactly-once delivery and no dual writes.
Catch a bloating replication slot from WAL retention before it fills the source disk and stalls production.
Absorb an upstream schema migration automatically instead of breaking the pipeline on an added column.
- Exactly-once delivery across Debezium, Maxwell, and PgLogical engines
- Replication slot health and WAL-bloat protection with drop controls
- Automated DDL evolution merged into governed class definitions
- Per-table lag SLAs with breach detection and alert routing
- 30-day change-history audit trail with schema evolution events
- Recommend safe DDL merge resolutions against class definitions
- Diagnose lag spikes and slot bloat from health metrics
- Summarize change volumes and anomalies per table
- Suggest table and column capture filters from usage patterns
AI change-stream analyst
CDC watches your capture streams and slot health to resolve schema drift, explain lag spikes, and recommend the safest merge before a change breaks downstream consumers.
Every CDCAI feature is grounded in your tenant's data, runs under your data-residency policy, and respects every role and ACL the platform enforces.
Every surface in Apiome CDC
A look at the 9 screens designed for this suite — covering everything from day-1 onboarding to day-100 operations.
