Cloud-to-cloud, on-prem to cloud, between clouds. We've moved finance platforms, healthcare records, and live e-commerce — without dropping a transaction.
Get a free migration assessmentA 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.
We've done this 300+ times across cloud providers and migration patterns. The pattern is the same: discover what's actually running (not what the docs say), build a parallel-run plan that lets you compare old and new under real load, and execute cutover in stages so the blast radius of any single failure is bounded. Boring, mechanical, and the reason zero downtime is our standard, not our marketing claim.
We've migrated platforms processing $2B+ in annual transactions. The whole thing comes down to whether your cutover plan survives a 3 AM phone call. Ours always does.
— CloudLife migrations lead
Track record
Production migrations completed across providers and environments
Customer-impacting incidents on cutover in the past 24 months
Average cost reduction post-migration via right-sizing and modernization
Doing this — including hybrid, multi-cloud, and regulated workloads
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.
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.
Customer-facing downtime on cutovers in the past 24 months
Data loss incidents across 300+ migrations
Cutover plans that haven't been pre-rehearsed end-to-end
Recent work
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