Move off legacy to the cloud, on a fixed scope, 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.
Fixed scope, one accountable lead, payment tied to the outcome, full IP assignment, and a steady-state landing zone your team owns.
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 migration that was supposed to fund itself becomes a line item nobody can switch off.
The scale of that leakage is well documented. McKinsey, surveying nearly 450 CIOs and IT decision-makers, projected roughly $100 billion of wasted migration spend over three years — value lost to migrations that ran over budget, stalled, or never reached the savings they were sold on.
The cloud opportunity is real and enormous; 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.
“Migration” isn’t one motion. The value comes from choosing the right move for each system and executing the cutover cleanly. The industry shorthand is the 6 R’s — a descriptive taxonomy, not anyone’s trademark. Here are the moves that pay:
Moves a system to cloud infrastructure largely as-is — fastest path off a data-center contract or end-of-life hardware. Benefit — exit the data center quickly and stop the capital bleed, with minimal application risk. It buys time and a deadline hit without a rewrite.
For example, a finance team facing a data-center lease renewal rehosts a stable internal app in weeks, retires the lease, and trades a large fixed capital cost for usage-based spend — then optimizes later from inside the cloud.
Keeps the application but swaps the heavy parts — self-managed database to a managed service, bespoke runtime to a container platform — during the move. Benefit — lower run cost and far less operational toil without a full rebuild. Patching, backups, and scaling become the provider’s job.
For example, a self-managed database that consumed a DBA’s week moves to a managed service during migration, so failover and backups stop being a person’s manual chore and the team reclaims that time.
Re-engineers a constrained legacy app into cloud-native services so it can scale, ship, and recover the way the business now needs. Benefit — elastic scale, faster releases, and resilience the old architecture couldn’t reach. Reserved for the systems where the upside justifies the work.
For example, a monolith that fell over every peak season is decomposed so the checkout path scales independently — the seasonal outage stops being an annual event.
Moves the data itself — often the riskiest part — with validation, reconciliation, and a rehearsed switchover that keeps the system available. Benefit — the move happens without losing data or taking the business offline. A dress-rehearsed, rollback-ready cutover is the difference between a non-event and an outage.
For example, a transactional database is replicated and reconciled ahead of time, then cut over in a planned window with a tested rollback — so customers never notice the system changed homes.
Identifies the redundant, duplicate, and zombie systems an assessment surfaces — and decommissions them instead of paying to migrate them. Benefit — you stop paying to host things nobody uses, and the destination estate starts clean.
For example, an assessment finds a dozen apps no longer in real use; retiring them removes both the migration effort and the recurring cloud bill they would have carried.
Stands up the secure, governed cloud account structure — networking, identity, guardrails, cost controls — that everything else lands into. Benefit — the migrated estate is secure and cost-visible from day one, not retrofitted after the bill shocks.
For example, budget alerts and tagging are wired in before the first workload lands, so a runaway environment is caught the day it starts, not in the next quarter’s invoice.
The scope below is what separates a migration that pays for itself from an overrun. This is the move specifically — for greenfield cloud builds and ongoing platform work, see our cloud engineering services.
We inventory the estate, map dependencies, and decide the move per workload (rehost / re-platform / re-architect / repurchase / retire / retain) — run as our AI readiness and discovery assessment, with a modeled target-state cost so the business case is a forecast, not a hope.
We design the destination — networking, identity, security guardrails, and account structure — and stand up the landing zone everything migrates into, governed and cost-tagged from the first workload.
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 the workloads whose upside justifies the rebuild.
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 rather than an outage.
Every migration runs under an NDA and a security review; data paths are documented; and for regulated estates (fintech, healthcare) controls and audit trails move with the workload, not after it.
After cutover we right-size the footprint, wire in cost controls and alerts, and train your team to operate and optimize the cloud estate — so the savings hold instead of drifting back up.
What you get when you hire us — all assigned to you under full work-for-hire
The same delivery model behind all our engineering work, tuned for migrations — one accountable lead, fixed scope, payment tied to the outcome, no handoffs.
Inventory the estate, map dependencies, model the target-state cost, and decide the move per workload.
Output: a migration plan, a business case & success metrics
Design the destination and stand up the governed cloud foundation everything migrates into.
Output: a secure, cost-tagged landing zone as IaC
Move workloads in tranches — rehost, re-platform, or re-architect as decided — validating each before the next.
Output: workloads running in your cloud, verified
Replicate and reconcile data, rehearse the switch, then cut over in a planned window with rollback ready.
Output: production on the cloud, legacy retired on a schedule
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
Most migrations reach a stable production footprint in 4–8 weeks per workload tranche, with full IP assignment signed at kickoff.
The hardest part of any migration isn’t the first move — it’s doing it again and again, as platforms age, without ever breaking what’s live. That is the discipline this work demands, and it’s the one we’ve held longest.
We’ve run Bridge Athletic since its 2012 startup build, and over 12+ years we’ve carried that product through multiple rounds of application modernization, legacy migration, re-platforming, and performance optimization — paying down technical debt each pass while the product never went offline.
It grew into a platform now used by USC, the LA Rams, and MLB and MLS teams. A migration done right isn’t a one-time lift; it’s a moved-and-still-running system that keeps earning — which is exactly the standard we hold a cutover to.
Adjacent example — transaction-system reliability: for YardClub, the contractor-equipment marketplace acquired by Caterpillar in 2017, we built the listings, payments, and transaction infrastructure end to end — the same standard for data integrity and zero-loss cutover that a transactional database migration demands. (Cited as a build engagement, not a migration result — it stands in for the cutover discipline, not the move itself.)
Silicon Prime is a Stanford-rooted Responsible AI lab, founded in 2011, run by founder Kelvin Tran — 20+ years of production engineering, who has delivered multimillion-dollar systems for one of the world’s largest automobile manufacturers and is personally accountable for every engagement. We’ll tell you plainly when a workload should be retired or left on-prem rather than migrated — which a vendor billing by the lifted server won’t.
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.
Migrating transactional and decisioning systems where data integrity and an audit trail must survive the cutover intact. Fintech software →
Moving patient and clinical systems into HIPAA-compliant cloud architectures, with controls and logging that travel with the workload. Healthcare software →
Re-architecting the systems that buckle at peak so checkout and catalog scale independently, cut over outside the selling season.
What teams want to know before they move a live estate off legacy.
We rehearse the cutover before we run it. Data is replicated and reconciled ahead of time, the switch happens in a planned low-traffic window, and a tested rollback path is in place before we begin — so if anything looks wrong, we revert without data loss. We’ve carried a production platform (Bridge Athletic) through 12+ years of re-platforming and migration without it ever going offline; that downtime-free discipline is the default, not the premium tier.
Per workload, against a modeled cost — never as a blanket policy. Stable systems facing a hardware or lease deadline usually rehost; database and runtime layers that are expensive to operate get re-platformed onto managed services; only the workloads whose business upside justifies the rebuild get re-architected, and dead systems get retired rather than migrated. The assessment produces that decision for each application before anyone touches production.
By modeling the target-state cost before migrating and building cost controls in from day one. McKinsey put wasted migration spend at roughly $100 billion over three years, almost always from lifting an oversized footprint as-is and never optimizing. We size the destination during the assessment, retire what shouldn’t move, and wire in FinOps tagging and budget alerts as part of the landing zone — so the savings are designed in, not hoped for.
The one that fits your workloads, your team’s skills, and your existing commitments. We’re cloud-agnostic and have no partnership steering the recommendation, so the destination is chosen on your constraints — including any enterprise agreements or licensing you already hold. We’ll make the call explicit in the assessment, with the cost and trade-offs of each laid out.
Every migration starts with an NDA and a security review, and for regulated estates the controls move with the workload, not after it. Access is scoped and permissioned, data paths are documented so your security team verifies rather than trusts, and for fintech and healthcare workloads audit trails and compliance controls are part of the cutover plan — not a post-migration retrofit.
You do — completely. The landing zone, the infrastructure-as-code, the migration and rollback runbooks, and the FinOps baseline transfer under full work-for-hire IP assignment signed at kickoff, and your team is trained to operate and optimize the estate. Keep us on a reduced retainer or take the keys; the engagement is built around the handover.
Most migrations reach a stable production footprint in 4–8 weeks per workload tranche, under a fixed-scope engagement with one accountable lead and payment tied to the outcome. Total cost depends on the size of the estate and how many workloads need re-platforming versus a straight rehost — our development cost guide gives real ranges, and the assessment turns it into a fixed number before the move starts.
Thirty minutes · No pitch deck
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.