Service · Migration
Off legacy, one slice at a time.
We move you off end-of-life systems incrementally — behavior preserved, the system live throughout, a tested way back at every step. No big-bang rewrite.
Incremental cutover
Live throughout · rollback on every slice
The real problem
Why staying on a legacy system is the expensive option.
The cost is invisible until it isn't. An end-of-life platform doesn't bill you for a rewrite — it bills you in security patches that stop shipping, budget eaten keeping the old thing alive, and a shrinking pool of people who can work on it.
Then a dependency hits end of support, an auditor flags the unsupported stack, or your one expert leaves — and the migration you deferred becomes the emergency you can't schedule. Most of the money goes to standing still; a migration done right is how that diverted budget comes back.
Of the >$100B annual federal IT budget goes to operating existing IT — including legacy systems 8 to 51 years old with known vulnerabilities.
Of the tech estate's value is technical debt — with 10–20% of the new-product budget diverted to servicing it instead of building.
What gets migrated
What gets migrated off legacy — and what each move buys you.
"Legacy migration" isn't one motion — it's a set of specific moves off specific dead ends.
Language & framework version migration
Moves code off an end-of-life language or framework version — PHP, .NET Framework, Java, AngularJS — onto a supported one, behavior preserved.
Patches return, hiring gets easier, the platform takes features again
Deprecated-platform replacement
Moves a workload off a sunset platform — an unsupported OS, a discontinued app server — onto a current one, old and new running side by side.
Exit compliance and outage risk — no high-stakes single cutover
Database & data-store migration
Moves data off an end-of-life or costly database engine to a supported one, with schema mapping, record-for-record reconciliation, and a rehearsed switchover.
The data moves without loss and without going offline
Incremental cutover (strangler-fig)
Stands up the new system behind a routing layer that shifts live traffic old to new, reversibly, instead of one all-or-nothing switch.
Every step small, verified, and reversible — risk bounded to one slice
Behavior preservation & regression guarding
Captures what the legacy system actually does — including the undocumented quirks the business depends on — into automated tests that guard every cutover.
The new system does what the old one did, edge cases included
Re-platforming off costly infrastructure
Moves a system off end-of-life hardware or costly licensing onto a modern footprint — often, but not always, the cloud.
The recurring cost and the looming hardware deadline both go away
Large rewrites succeed under 10% of the time — small ones, about 90%. So we migrate in small, reversible slices, not one launch that has to land. (Standish Group, CHAOS 2020.)
What's included
What our legacy migration services cover.
The move off legacy specifically — for the broader program see application modernization; when the destination is the cloud, see cloud migration services.
Assessment & dependency mapping
We inventory the estate, map dependencies, and surface undocumented behavior and what to retire — ending in a costed, slice-by-slice plan before any code is touched.
Incremental migration architecture
We design the strangler-fig path — the routing layer, the seams, the order of slices — so the migration is a sequence of small, reversible steps, not one switch.
Language, framework & platform migration
We execute the per-slice move — off an unsupported language, framework version, or deprecated platform — preserving behavior, each slice verified against legacy before the next begins.
Data migration & rehearsed cutover
We map the schema, replicate and reconcile the data record-for-record, and run a dress-rehearsed cutover with a tested rollback — so the data move is a non-event, not an outage.
Behavior preservation & regression testing
We capture the legacy system's real behavior — quirks included — into an automated test suite that guards every cutover, so undocumented edge cases don't get lost.
Security hardening, cutover & handover
Every migration runs under an NDA and security review; for regulated estates, controls and audit trails move with the workload. After cutover we harden, document, and train your team.
What you get — all assigned to you under full work-for-hire IP
How it runs
How a legacy migration engagement runs.
The same delivery model behind all our modernization work, tuned for migrations — one accountable lead, payment tied to the outcome, no handoffs.
STEP 01
Assess
Inventory the estate, map dependencies, surface undocumented behavior, and decide what migrates versus what retires.
Output: a slice-by-slice plan, a costed case & metrics
STEP 02
Plan the slices
Design the strangler-fig routing and the order of cutovers, smallest-risk first, with a rollback path defined for each slice.
Output: a sequenced cutover plan, rollback per slice
STEP 03
Build & shadow
Build each slice on the modern stack and run it in shadow against the legacy system, comparing behavior before any traffic moves.
Output: a verified slice & a passing behavior-parity set
STEP 04
Cut over a slice
Shift live traffic to the new slice in a planned window, rollback ready — the legacy equivalent goes dark, scheduled for retirement.
Output: a slice in production, legacy equivalent retiring
STEP 05
Repeat & hand over
Migrate the next slice, then retire the legacy footprint and train your team to own the fully migrated system.
Output: a fully migrated system you own, old stack gone
Straight talk
A migration we've been running, live, for over a decade.
The hardest part of legacy migration isn't the first move off an old platform — it's doing it again and again, as each new stack ages in turn, without ever taking the live system down. That repeated, downtime-free discipline is the one we've held longest.
We've run Bridge Athletic since its 2012 startup build, carrying that product through 12+ years of migration, re-platforming, and re-engineering — moving off each aging stack as it reached its limits, paying down technical debt every pass, while the product never went offline. It's now used by USC, the LA Rams, and MLB and MLS teams.
We'll tell you plainly when a system should be retired or left alone rather than migrated — which a vendor billing by the rewrite won't.
Silicon Prime is a Stanford-rooted Responsible AI lab, founded 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.
Why migrate off legacy with us.
We've done the decade-long version. A product carried through 12+ years of legacy migration without ever going offline (Bridge Athletic) is a different proof than a one-time lift — and it's the standard we bring to your cutover.
Incremental and reversible by default. We migrate in small slices behind a routing layer, a tested rollback on each, because the data on big-bang rewrites is unforgiving. Reversibility isn't a premium tier; it's how we work.
Behavior preserved, not approximated. The migration is guarded by tests built from your system's real behavior — including the quirks the business depends on — so the new stack does what the old one did.
Destination-agnostic. We migrate to whatever fits — a modern on-prem footprint or the cloud — chosen on your constraints, not a partnership.
Built to transfer. The migrated system, the test suite, the cutover runbooks, and the documented retirement of the old stack are assigned to you, and your team is trained to run it when we step back.
Where it lands first
Where getting off legacy matters most.
Fintech
Migrating transactional and decisioning systems off end-of-life platforms where data integrity and the audit trail must survive every cutover intact.
Fintech software →Healthcare
Moving patient and clinical systems off unsupported stacks into HIPAA-compliant architectures, with controls and logging that travel with the workload.
Healthcare software →Ecommerce & marketplaces
Migrating the aging monoliths behind checkout and catalog off the versions that buckle at peak, slice by slice, outside the selling season.
Ecommerce software →Questions buyers ask before they migrate.
Thirty minutes · no pitch deck
Ready to get off the legacy stack without freezing the roadmap?
Bring the system you're stuck on — an end-of-life platform, an unsupported framework, a database past its support date — and we'll map the dependencies, name the trade-offs, and lay out a costed, incremental path off it that keeps the business running the whole way.