Legacy System Modernization Services

Story #1 — Accounting software migration to Azure

Toward easier maintenance and faster updates.

Motives for migration. A growing accounting and payroll software company came to us with a desktop product built on aging tech that was getting harder to ship updates for every quarter. Their team was stuck in slow motion. Every small fix took weeks, and shipping anything new felt like a full rebuild. Meanwhile, leaner competitors were releasing features monthly and pulling customers away.

Migration results. We reshaped their desktop product into a cloud-native web application running on Azure. The new build is faster to update, simpler to integrate, and free from the headaches of client-side installs and version mismatches. The product also picked up features the old version simply couldn’t handle — online payments, auto-calculated taxes, and a clean subscription model that customers actually enjoy using day to day. And because everything now lives in the cloud, users see the same data whether they open the app on a laptop, tablet, or phone — one source of truth, available anywhere they work.

What made it work.

• Mapping the existing system top to bottom before touching a single line of code. Most legacy products don’t have clean documentation — that’s where modernization projects quietly bleed time and money.
• Moving to a modular, stateless architecture so the app scales sideways in the cloud and stays online while new features ship.
• Treating data migration as its own mini-project with its own timeline, owners, and rollback plan — rushing this step is how a strong rebuild ends up with broken trust on launch day.
• Building automated tests around legacy behavior first so the new system has to prove it matches before it replaces anything.
• Setting up CI/CD pipelines early so the team deploys small changes daily instead of staging huge releases that make everyone in the room nervous.

Story #2 — Cashback services migration to AWS

Toward better availability and traffic resilience.

Motives for modernization. A cashback platform serving shoppers across many countries needed help with several modules — the customer portal, payouts, commissions, mailing, analytics, and more. Their dedicated servers were buckling under traffic spikes. When sales seasons hit, the site slowed to a crawl, carts were abandoned mid-checkout, and the revenue loss showed up in the dashboard the next morning.

Modernization results. We moved their entire stack off dedicated hardware and onto AWS. The new setup scales up and down with demand, handles peak traffic without breaking a sweat, and trims the monthly infrastructure bill at the same time.

What made it work.

• A share-nothing architecture where each node runs independently with its own slice of data — no shared memory, no shared storage. That design wipes out single points of failure and lets you patch or upgrade pieces of the system without taking the whole thing offline.
• Auto-scaling groups tied to real traffic patterns so capacity grows before users feel any lag, not after the support tickets start rolling in.
• A managed database layer with read replicas so reporting and analytics never compete with live transactions for the same resources during peak hours.
• Observability baked in from day one — metrics, logs, traces — so when something does go sideways, your team finds the root cause in minutes instead of hours.

Story #3 — SOA implementation & JavaScript migration of a large travel portal

Toward better competitiveness and app-like UX.

Motives for modernization. A large travel company asked us to rework their booking portal — the front door of their whole business, where flights, packages, cruises, and insurance all come together for the customer. The portal looked dated, loaded slowly, and couldn’t match the slick, app-like experience travelers expect in 2026. Every product update took months, and the brand was starting to feel a step behind.

Modernization results. We rebuilt the portal with a fresh look, a faster engine underneath, and the flexibility to push new features without long release cycles. Customer satisfaction climbed steadily once the new experience went live.

What made it work.

• Moving to a service-oriented architecture so the portal became a set of small, loosely connected services talking through clean APIs — each one updated, scaled, or replaced on its own without disturbing the rest.
• Splitting the front end into its own independent layer so a modern single-page application delivers smooth, app-like interactions without waiting on the back end for every click.
• Wrapping every service with proper API contracts and versioning so internal teams and partner integrations never break when a quiet change ships behind the scenes.
• Caching aggressively at the edge so search results and product pages load instantly, even during the busiest booking windows of the year.
• Investing in a design system upfront so every team building features ends up with the same look, feel, and accessibility baked in from the start.

Honest system assessment

We map your existing code, dependencies, and business logic top to bottom before promising any timeline. The only plan worth following is one grounded in how your system actually behaves today.

Reversible milestones

Every milestone stays visible and reversible. If something shifts mid-flight, your team can roll back cleanly without losing weeks of work or trust.

Decompose into modules

We break the legacy app into smaller, loosely connected pieces — microservices where they fit — so the team modernizes in small steps and avoids the dreaded code freeze.

Tests around legacy behavior

Automated tests pin down how the old system actually works, so the new one must prove it matches before it replaces anything. Real confidence at every release.

Data migration as a project

Treated with its own timeline, owners, and rollback plan. Rushing this step is how a strong rebuild ends up with broken trust on launch day — so we don’t rush.

CI/CD from day one

Small changes deployed daily, not huge releases everyone fears. Mature pipelines turn shipping into a routine instead of an event.

Cloud-native architecture

Stateless, share-nothing designs that scale sideways on Azure, AWS, or GCP — engineered for high availability and long-term cost efficiency.

Observability baked in

Metrics, logs, and traces from day one. When something does go sideways, your team finds the root cause in minutes instead of hours.

Parallel-run cutover

We keep the old and new systems live side by side for a planned window, compare outputs, catch quiet mismatches, and switch over only when the numbers actually line up.

Stakeholder-first discovery

Operations, support, finance — the people who use the system daily know the workarounds that documentation never captured. We bring them in early.

Training & adoption

Planned with the same care as the build itself, because the best modernized system fails if the people using it never fully adopt it.