Legacy Database Modernization. @database-modernization

An out-of-support or capacity-constrained database is a standing incident waiting for a date. This sprint moves a defined workload to a supported target — a version upgrade, a managed cloud database, or a different engine — with the schema converted, the data reconciled row for row, and the application patched to match.

Cutover is treated as the core deliverable, not the last step: rehearsals against production-scale data, a reconciliation report both sides can verify, and a rollback path that stays open through the migration window. The finish state: the workload in production on the new database, with the old one ready to retire.

Target selection & schema conversion

We profile the current database and select the target — version upgrade, managed cloud service, or a different engine — then convert schema, types, and stored logic.

Data migration & reconciliation

Migration tooling with row-level reconciliation: counts, checksums, and spot audits, producing a report both sides can verify.

Application compatibility fixes

Queries, drivers, ORMs, and dialect differences fixed in the application so behavior matches on the new database.

Cutover & rollback controls

Rehearsals against production-scale data, an agreed cutover window, and a rollback path that stays open until verification completes.

1. Scope. Profile the current database, select the target, and plan conversion and cutover.
2. Build. Convert the schema, build migration and reconciliation tooling, fix application compatibility, and rehearse.
3. Handover. Production cutover in the agreed window, reconciliation report, rollback plan, and ops handover.

The Legacy Database Modernization is a menu item on the Scrums.com delivery catalog, available at every plan tier. Add it to your plan backlog and your delivery team schedules it like any other item — scoped, tracked, and reported through the SEOP. See Delivery Plan Tiers.

Does this include performance tuning on the new database?

The sprint delivers parity or better and fixes regressions it introduces. Deeper tuning of the workload itself is the Database Query Optimization menu item — a common follow-on once the migration settles.

What do we need to provide?

Access to the database and application code, a production-scale data copy for rehearsal, and an agreed cutover window with the people who can approve it.

What if the cutover fails?

The rollback path is part of the deliverable and stays open through the window. A failed verification means we roll back, diagnose against the rehearsal data, and re-run — the old database is not touched until the new one is verified.