Big migrations fail quietly
The dangerous migration failure is not the one that crashes; it is the one that appears to succeed while silently dropping edge-case records or breaking relationships. You find out months later when a report does not reconcile, long after the source system is gone.
Avoiding that is a discipline problem, not a tooling accident.
Stage, validate, reconcile
We migrate in stages, not one heroic cutover. Each stage is validated against the source with record counts and field-level checks, and reconciled before the next begins. Transformation logic is explicit and testable, so mapping decisions are visible rather than buried in a script nobody can read.
This is how more than 50 million records have moved across our engagements with zero data loss: every record is accounted for, not assumed.
Rollback is not optional
Every migration keeps a rollback path and validation safety nets, so a cutover is reversible until it is proven. In one org consolidation we merged five regional orgs with full validation and rollback in place and zero downtime during cutover, because nothing was irreversible until it was verified.
Zero data loss is the outcome of insisting on that safety net every time, not of hoping the run goes well.
Key takeaways
- The worst migration failures are silent: dropped edge cases and broken links.
- Stage, validate against source, and reconcile before each next step.
- Keep a rollback and validation net until the cutover is proven; 50M+ records, zero loss.