Migrations
Cloud-to-cloud, on-prem to cloud, between clouds. We've moved finance platforms, healthcare records, and live e-commerce — without dropping a transaction.
A bad migration takes the business offline. A worse one takes it offline and loses data. Most migration projects fail not because the destination is wrong but because the cutover plan is fantasy — assumptions that don't survive contact with production traffic, dependencies nobody documented, and a 2 AM rollback path that doesn't actually work.
By the numbers
300+
Production migrations completed across providers and environments
0
Customer-impacting incidents on cutover in the past 24 months
40%
Average cost reduction post-migration via right-sizing and modernization
Discovery that finds the things you forgot. Network traces, dependency mapping, and access analysis to surface the cron jobs, hardcoded IPs, and tribal knowledge that always breaks naive lift-and-shifts.
Parallel-run before cutover. Both environments running real production load side-by-side, with automated diffing on outputs, latency, and behavior. We don't cut over until parity is provable.
Staged cutover with rollback drills. Customer-by-customer, region-by-region, or feature-by-feature — whichever bounds blast radius best. Rollback paths are rehearsed, not theoretical.
Modernization where it pays. We don't lift-and-shift things that should be re-architected, and we don't re-architect things that don't need to be. The decision is data-driven, not religious.
What you get
Migration intelligence
Modern dependency mapping uses traffic analysis and config inspection to surface the cron jobs, hardcoded IPs, and tribal knowledge humans miss — dramatically reducing the unknown unknowns that break cutovers.
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