Legacy Modernization
Rewrite, refactor, or rehost aging systems before end-of-support deadlines force the call.
Start with what's on the clock. If an end-of-support date touches your stack, that asset sets the timeline, not your roadmap. SQL Server 2016 loses support on July 14, 2026; .NET 8 and 9 both retire on November 10. Once the deadline is mapped, match each application to one of six approaches using real cost multipliers: rehosting is the 1x baseline, replatforming runs 1.5 to 2x, a refactor 2 to 3x. Clear the deadline assets first at 1x cost, then refactor only what your product roadmap will actually live in. The default execution pattern is strangler-fig: ship and retire in slices so the legacy system keeps running while its replacement earns trust.
How we approach legacy modernization
End-of-support deadlines have a way of turning 'someday' modernization into a fire drill. SQL Server 2016 exits support on July 14, 2026, and .NET 8 and 9 both retire that November. We help you choose between retaining, rehosting, replatforming, refactoring, and rebuilding using real cost multipliers instead of instinct, then execute without freezing the business while the work happens.
Our default is the strangler-fig pattern: modernize incrementally behind a stable interface, so the legacy system keeps serving while its replacement earns trust one slice at a time. AI-assisted code translation and test generation have shifted the math, too. Rewrites that didn't pencil out two years ago sometimes do now. What the tools still can't do is decide which code deserves to survive, and that call is where most of the money is won or lost.
In every engagement
Scope flexes to the problem, but these are the things you can count on us bringing.
- End-of-life risk inventory and modernization roadmap
- Rehost / replatform / refactor decision with costed options
- Strangler-fig incremental execution alongside the legacy system
- AI-assisted code translation and test generation
Six approaches, matched to what's actually broken
The spread between strategies is usually wider than the spread between vendors. Pick by what hurts: the hosting, one layer, the architecture, or the whole thing.
| Approach | What it means | Relative effort & cost | When it fits |
|---|---|---|---|
| Retain | Do nothing, on purpose. Keep running the system as-is, with a written kill date or review date attached. | Near zero now; risk and ESU fees accrue monthly | Stable apps with no deadline exposure, or a system being retired or replaced within roughly a year. |
| Rehost | Lift-and-shift. Move the application onto new infrastructure mostly as-is, code untouched. | 1x baseline; fastest, lowest execution risk | End-of-support deadlines, datacenter exits, and apps where the only pain is where they run. |
| Replatform | Swap one layer (the database, the OS, the runtime) while keeping the core application intact. | 1.5 to 2x rehost | Apps held back by a single layer, like an end-of-life database under otherwise healthy code. |
| Refactor | Restructure the existing code for maintainability and performance without changing what it does. | 2 to 3x rehost; payback in 12 to 18 months | Systems your roadmap will live in for a decade and that have seams to slice along. |
| Re-architect | Reshape the architecture itself: break the monolith, redraw service boundaries, change the data model. | 2 to 3x rehost, top of the band; longest timeline | Hard scaling or coupling limits that a layer swap can't fix and the roadmap can't route around. |
| Rebuild / replace | Write it again from scratch, or retire it for a SaaS product. A bet you argue into, never default into. | Highest; payback 36 to 48 months; double-pay risk | Genuinely dead platforms (VB6, classic ASP, abandoned frameworks) with no incremental path worth taking. |
Effort and cost multipliers from our legacy modernization cost breakdown: rehost is the 1x baseline, replatform 1.5 to 2x, refactor 2 to 3x. Incremental refactoring typically reaches payback in 12 to 18 months versus 36 to 48 for a full rewrite, which also triggers the double-pay trap, where running the legacy system and the rebuild at once inflates total cost 37% to 75% before any value lands. In dollars, scope sets the order of magnitude: a simple database migration starts near $25K, a single departmental app lands around $200K, and an enterprise portfolio runs $2M and up. Ranges are industry figures, not gmware quotes.
When each path is the right call
Three honest reads, including the ones where doing less is the smarter spend.
When doing nothing is genuinely fine
The app is stable, nothing on it hits a 2026 end-of-support date, and it isn't where your product roadmap is heading. Or it's scheduled for retirement inside about a year, in which case modernization spend never pays back before the system dies. Retaining is a real decision when it comes with a written kill date and a calendar reminder. The failure mode is drift, where 'retain' quietly becomes 'forget' until an auditor or a breach prices the neglect for you.
When a full rebuild is justified
The platform is genuinely dead (VB6, classic ASP, an abandoned vendor framework) with no incremental path worth taking, and the application is central enough to earn a 36-to-48-month payback. Be honest about the trap first: most 'we need a rewrite' conversations are really 'nobody left understands the old code' conversations, and an assessment costs far less than learning that from a failed rebuild. A rewrite is argued into with evidence, never defaulted into because the codebase feels scary.
When incremental strangler-fig is the right move
This is the default, and it fits most estates. Put a routing facade in front of the legacy system, move one capability at a time onto new services, and retire each legacy piece as its slice ships. Every slice carries its own budget and rollback, so there's no big-bang cutover night and the double-pay window shrinks continuously instead of looming at one distant cliff. The one honest prerequisite: strangler-fig needs seams. Tangled data models resist slicing, and a short assessment is how you find out whether yours has usable ones.
The deadlines and the math, written up
Three guides behind this page: what modernization actually costs, and the two end-of-support clocks forcing the calls in 2026.
- Legacy modernization cost: rewrite vs refactor vs rehost The multiplier system under every quote, plus the double-pay trap that breaks budgets around month nine. Read the guide
- SQL Server 2016 end of support: your four options, costed ESUs, in-place upgrade, Azure rehost, or PostgreSQL, with a 60-day plan if you're starting from zero this week. Read the guide
- .NET 8 and 9 both die in November: the upgrade plan Both runtimes retire the same day. One planned move to .NET 10 LTS covers it, started before the Q4 crunch. Read the guide
Questions buyers ask about legacy modernization
How do I decide whether to rehost, refactor, or rebuild a legacy app?
Start with what's broken. If only the hosting hurts, rehost at 1x cost. If one layer holds it back, like an end-of-life database, replatform at 1.5 to 2x. Refactor at 2 to 3x only when the app is where your roadmap will live for years. Reserve a rebuild for genuinely dead platforms with no incremental path.
What 2026 end-of-support deadlines should be driving my timeline?
Three that converge fast. SQL Server 2016 leaves support on July 14, 2026. .NET 8 and 9 both retire on November 10, 2026, so move straight to .NET 10 LTS and skip 9. MySQL 8.0 already went end-of-life on April 30, 2026. If any touch your stack, clear those assets first, then modernize the rest on your own schedule.
Is it cheaper to refactor a legacy app or rewrite it from scratch?
Refactoring incrementally is usually the better risk-adjusted buy. Payback typically lands in 12 to 18 months against 36 to 48 for a full rewrite, and the rewrite also triggers the double-pay trap, where you fund the legacy system and the rebuild at the same time. Reserve rewrites for dead platforms with no incremental path worth taking.
What is the double-pay trap, and how do you avoid it?
It's the overlap where you pay to run the legacy system and pay the rebuild team simultaneously. Across a 12-to-18-month refactor, that can inflate total cost 37% to 75% before the new system delivers value. The fix is the strangler-fig pattern: ship and retire in slices so legacy upkeep falls away continuously instead of at one distant cutover.
What is the strangler-fig pattern, and why is it your default?
You put a routing facade in front of the legacy system, move one capability at a time onto new services, and retire each old piece as its replacement ships. Every slice gets its own budget and rollback plan, so there's no big-bang cutover night and the double-pay window shrinks as you go. The catch: it needs seams, which a short assessment confirms before you commit.
Industries we know well
The same service, sharpened by the regulations and realities of your sector.
Austin oversight, dual-shore delivery
Architecture and client-facing leadership sit in our Austin office at 5900 Balcones Drive, Suite #23579; build capacity runs from our centers in Bangalore and Mohali, with enough overlap on US hours that your cutover rehearsals happen while your team is awake. We start with a two-to-three-week assessment that inventories the portfolio, risk-ranks it by end-of-support exposure and business value, and gives every application its own strategy. One strategy for the whole estate is a tell; it means a vendor is selling a motion, not an outcome.
From there it's strangler-fig execution, AI-assisted where translation and test generation actually help and human judgment where lane choice does. We're opinionated about that choice, sometimes unprofitably so: if your app retires next year, we'll tell you to buy a deliberate year of ESU and bank the difference. Where the destination is cloud, our cloud consulting team owns the landing zone, and a product development build wraps in when new functionality rides along with the modernization. Tell us what you're running and what's expiring, and you'll have a straight read on scope, cost, and sequencing within 48 hours.
See it on your own data.
Book a 30-minute discovery call and we'll walk through your use case.