Service · Cloud
Move off legacy to the cloud — without the downtime.
We move enterprise systems off on-prem and aging infrastructure into the cloud — assessed application by application, migrated the right way for each, and cut over without taking the business offline. Payment tied to the outcome, full IP assignment, a landing zone your team owns.
The right move per workload
The real problem
Why so many cloud migrations cost more than they save.
Because the move gets started before the homework is done. Teams lift a legacy estate into the cloud as-is, keep paying for the same oversized footprint by the hour, discover a database that won't cut over cleanly, and watch the bill climb past what the data center cost.
The failure mode is almost always the migration itself — wrong move chosen per workload, no rollback plan, no FinOps discipline, and a cutover that surprised everyone. That is the part cloud migration services exist to get right.
Of wasted migration spend projected over three years — budgets blown on migrations that stalled or never reached the savings they were sold on.
McKinsey, 2021 ↗
Forecast worldwide public cloud spending in 2025, up from $595.7B in 2024 — the migration wave is accelerating, not slowing.
Gartner, Nov 2024 ↗
Where it delivers
Where cloud migration delivers — and what each move buys you.
"Migration" isn't one motion. The value comes from choosing the right move for each system and executing the cutover cleanly.
Lift-and-shift (rehost)
Moves a stable system to cloud infrastructure largely as-is — the fastest path off a data-center contract or end-of-life hardware. Exit quickly, minimal application risk.
A finance team facing a lease renewal rehosts a stable app in weeks and trades capital cost for usage-based spend.
Re-platform the data & runtime
Keeps the app but swaps the heavy parts — self-managed database to a managed service, bespoke runtime to containers. Lower run cost, far less operational toil.
A self-managed database that ate a DBA's week moves to a managed service — failover and backups stop being manual.
Re-architect the systems holding you back
Re-engineers a constrained legacy app into cloud-native services so it can scale, ship, and recover. Elastic scale — reserved for where the upside justifies the work.
A monolith that fell over every peak season is decomposed so checkout scales independently — no more annual outage.
Data migration & cutover
Moves the data itself — often the riskiest part — with validation, reconciliation, and a rehearsed switchover. No data lost, no business taken offline.
A transactional database is replicated and reconciled, then cut over with tested rollback — customers never notice.
Retire & consolidate the dead weight
Identifies the redundant, duplicate, and zombie systems an assessment surfaces — and decommissions them instead of migrating them. Stop hosting what nobody uses; start clean.
An assessment finds a dozen apps no longer in real use; retiring them removes both the migration effort and the recurring bill.
Landing zone & FinOps foundation
Stands up the secure, governed cloud account structure — networking, identity, guardrails, cost controls. Secure and cost-visible from day one, not retrofitted.
Budget alerts and tagging are wired in before the first workload lands, so a runaway environment is caught the day it starts.
As of June 2026 · revisit quarterly
What migrating to the cloud actually moves — the measured impact.
Independent, named-source findings on cloud migration — cited as third-party evidence, not Silicon Prime's own client results.
Less unplanned downtime. Plus a 38% drop in latency and 20–40% lower annual IT costs — across 33 enterprises that migrated 351 apps.
Nucleus Research, 2020 ↗
In run-rate EBITDA. Cloud could generate across the Fortune 500 by 2030 — a 20%+ EBITDA lift for the average company, if executed well.
McKinsey, 2021 ↗
Public cloud spending in 2025. Up from $595.7B in 2024 — the wave is accelerating, so getting the move right (not fast and wrong) compounds.
Gartner, Nov 2024 ↗
What's included
What our cloud migration services cover.
What separates a migration that pays for itself from an overrun. This is the move specifically — for greenfield cloud builds, see our cloud engineering services.
Assessment & business case
We inventory the estate, map dependencies, and decide the move per workload — with a modeled target-state cost, so the business case is a forecast, not a hope.
Target-state architecture & landing zone
We design the destination — networking, identity, security guardrails, account structure — and stand up the landing zone everything migrates into, governed and cost-tagged from the first workload.
Application migration & re-platforming
We execute the per-workload move: rehosting the stable systems, re-platforming the database and runtime layer where it lowers cost, and re-architecting only where the upside justifies it.
Data migration & rehearsed cutover
We replicate, reconcile, and validate the data, then run a dress-rehearsed cutover in a planned window — with a tested rollback path, so the switch is a non-event.
Security, compliance & rollback
Every migration runs under an NDA and a security review; data paths are documented; and for regulated estates, controls and audit trails move with the workload, not after it.
Optimization, FinOps & handover
After cutover we right-size the footprint, wire in cost controls and alerts, and train your team to operate and optimize the estate — so the savings hold instead of drifting up.
What you get — all assigned to you under full work-for-hire
How it runs
How a cloud migration engagement runs.
The same delivery model behind all our engineering work, tuned for migrations — one accountable lead, fixed scope, payment tied to the outcome.
STEP 01
Assess
Inventory the estate, map dependencies, model the target-state cost, and decide the move per workload.
Output: a migration plan, business case & metrics
STEP 02
Build the landing zone
Design the destination and stand up the governed cloud foundation everything migrates into.
Output: a secure, cost-tagged landing zone as IaC
STEP 03
Migrate
Move workloads in tranches — rehost, re-platform, or re-architect as decided — validating each before the next.
Output: workloads running in your cloud, verified
STEP 04
Cut over
Replicate and reconcile data, rehearse the switch, then cut over in a planned window with rollback ready.
Output: production on cloud, legacy retired on a schedule
STEP 05
Optimize & enable
Right-size, wire in FinOps controls, and train your team to operate and optimize the estate.
Output: a stable, cost-visible estate your people own
Track record
A 12-year migration that never once took the product offline.
The hardest part of any migration isn't the first move — it's doing it again and again, as platforms age, without breaking what's live.
A Stanford-rooted Responsible AI lab, founded 2011, run by founder Kelvin Tran. We'll tell you plainly when a workload should be retired or left on-prem — which a vendor billing by the lifted server won't.
Re-platformed for 12+ years · never offline
Bridge Athletic — run since its 2012 build through multiple rounds of modernization and re-platforming, paying down technical debt each pass while the product never went offline. Now used by USC, the LA Rams, and MLB/MLS teams.
Cutover discipline · adjacent example
YardClub — for the contractor-equipment marketplace acquired by Caterpillar in 2017, we built the listings, payments, and transaction infrastructure end to end — the same data-integrity and zero-loss-cutover standard a transactional database migration demands.
Why migrate with us.
We've done the decade-long version. A migration that survives twelve years of re-platforming without downtime (Bridge Athletic) is a different proof than a one-time lift-and-shift — and it's the standard we bring to a cutover.
The move is chosen, not defaulted. Every workload gets a deliberate rehost / re-platform / re-architect / retire decision against a modeled cost — not a blanket lift-and-shift that ships the overrun with it.
Cloud-agnostic. We migrate to the platform that fits your workloads and existing commitments (AWS, Azure, or Google Cloud) — no partnership steers the destination.
Founder-led, one accountable lead. No account managers, no handoffs — the person who scopes the migration answers for the cutover.
Built to transfer. The landing zone, the infrastructure-as-code, the runbooks, and a FinOps baseline are assigned to you, and your team is trained to run the estate when we step back.
Where it matters most
Where a clean migration matters most.
Fintech
Migrating transactional and decisioning systems where data integrity and an audit trail must survive the cutover intact.
Fintech software →Healthcare
Moving patient and clinical systems into HIPAA-compliant cloud architectures, with controls and logging that travel with the workload.
Healthcare software →Ecommerce & marketplaces
Re-architecting the systems that buckle at peak so checkout and catalog scale independently, cut over outside the selling season.
Ecommerce software →Questions buyers ask before they migrate.
Thirty minutes · no pitch deck
Ready to move off legacy without betting the business on the cutover?
Bring the estate you need to move — we'll tell you honestly which workloads should rehost, re-platform, re-architect, or retire, what the target-state cost looks like, and how we cut over without taking you offline.