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That system built 15 years ago still runs your entire operation. But every change takes months, every new integration is deemed “impossible,” and no one on your team truly understands how it works anymore. You can’t migrate it because it’s too critical. You can’t leave it as is because it’s limiting your future.
Adding a single new field takes 3 months. Integrating with a modern API is "technically impossible." Your code is built on deprecated or obsolete frameworks.
The only developer who understood the system has retired. Documentation is non-existent. Hiring replacements for that specific stack is either impossible or incredibly expensive.
$50K/year mainframe licenses. Obsolete on-premise infrastructure. Vendor support that charges a fortune because they know you’re trapped.
Your business grew 5x, but the system remains the same. It can't handle more concurrent users. Performance is degrading. The architecture was never designed for the cloud.
We migrate critical legacy systems to modern cloud-native architectures without halting your operations or losing a single byte of data. This isn’t a “big bang” rewrite from scratch. It’s an iterative, controlled process where the old and new systems coexist until we validate that everything functions perfectly.
A comprehensive technical audit of your legacy system: architectural analysis, dependency mapping, identification of critical vs. disposable code, and historical data volume assessment. Operational risk evaluation and definition of the optimal strategy (replatform, refactor, rebuild, or retire). A phased roadmap with early “quick wins” to demonstrate value. Estimation of effort, timeline, and projected ROI considering operational cost reduction.
Decomposing monolithic applications (typically Java EE, .NET Framework, legacy PHP) into microservices or modular architectures. Using the Strangler Pattern: we build new functionality in modern services that gradually replace monolith modules until it is fully decommissioned. API Gateway implementation to orchestrate communication between the old and the new. Containerization with Docker and orchestration with Kubernetes, allowing specific components to scale on demand.
Migration of legacy databases (Oracle 9i, SQL Server 2005, Sybase, Informix, FoxPro DBF) to modern managed cloud databases. Conversion of stored procedures, triggers, and DB-embedded logic. Historical data migration with exhaustive validation: checksums, row counts, and business rules validation. Zero data loss guaranteed. Cutover strategy with a robust rollback plan. Optional implementation of a data warehouse for analytics separate from transactional data.
Modernization of legacy desktop interfaces (Visual Basic, Delphi, Oracle Forms, PowerBuilder) into responsive web apps or Progressive Web Apps (PWAs). UX redesign that maintains familiar workflows while providing a modern experience. Mobile-first approach for field roles. Implementation of Single Sign-On (SSO) and modern authentication vs. hardcoded credentials. WCAG accessibility compliance. The legacy backend can remain initially; we focus on modernizing the frontend.
Building modern RESTful APIs over legacy systems that weren’t designed for integration. API Gateways that expose mainframe or old application functionality to modern systems (CRM, e-commerce, mobile apps). Management of authentication, rate limiting, logging, and monitoring. OpenAPI/Swagger documentation. This allows your legacy system to participate in modern architectures without internal modifications. We also build adapters to consume external APIs from legacy code.
Technical audit of the legacy system: architecture, dependencies, critical code, and data volumes. We define the modernization strategy based on operational risk and complexity.
We build the new system while the legacy one remains operational. Both coexist. Users test the new platform with non-critical real data. Continuous feedback before cutover.
Phased or module-based migration. Rollback plan at every step. Bidirectional legacy-to-new synchronization during transition. Exhaustive data and business logic validation.
Assisted go-live with a 24/7 on-call team for the first 30 days. Intensive monitoring. Legacy system on standby for 60 days in case rollback is needed. Verified final decommissioning.
.NET
Java
Node.js
Python
PostgreSQL
Oracle
AWS
Azure
Kubernetes
Docker
"We had a 25-year-old AS/400 mainframe running our entire financial operation. Simphony migrated us to AWS without halting transactions for a single day. A 14-month project, 2.5M historical records migrated with zero loss. We reduced operational costs by 65%."
"Our legacy ERP in Visual Basic 6 couldn't handle more users. They modernized the frontend into a Progressive Web App while keeping the backend running. Users adapted in 2 weeks. Now we have 800 concurrent users with zero performance issues."
"A 30-year-old COBOL system managing inventory across 40 warehouses. Migration using the Strangler Pattern: module by module over 18 months without impacting operations. We decommissioned the last legacy module 6 months ago. Zero production incidents."
"20-year-old Oracle Forms that no one knew how to modify. They built APIs over the system to integrate it with our new e-commerce and CRM. They didn't touch the legacy core, but now it participates in a modern architecture. A 4-month project."
Yes, it is possible, and it is our core specialty. The key is avoiding a “big bang” replacement where you turn off the old and turn on the new abruptly. We use gradual migration strategies like the Strangler Pattern, where the old and new systems coexist for months. We move functionality module by module, validating that everything works perfectly before decommissioning each legacy piece. We also implement bidirectional data synchronization during the transition so that changes in the old system are reflected in the new one and vice versa. This allows your operations to continue normally while we migrate underneath. The only critical moment is the final cutover, typically done in low-usage windows like weekends or late nights, with a proven rollback plan if anything fails. Our track record is zero days of unplanned operational downtime during modernizations.
It depends critically on the current system’s complexity and the chosen modernization strategy. For mid-sized mainframe or AS/400 systems with decades of COBOL code, full migrations typically take between twelve and twenty-four months. For monolithic applications in languages like legacy Java or .NET, modernizing to microservices can take six to eighteen months. If you only need to modernize the frontend while keeping the legacy backend, projects can last three to six months. We define the timeline together during the initial assessment after auditing your system, understanding historical data volumes, identifying critical integrations, and evaluating your operational risk tolerance. Modernization is not a “quick fix” if you want to do it right; be wary of vendors promising to migrate critical mainframes in three months.
We have multiple layers of protection to guarantee zero data loss. First, before cutover, we perform a full migration of historical data to a staging environment and execute exhaustive validation: file checksums, table row counts, business rule validation, and manual sampling reconciliation. Second, during the transition, we implement bidirectional synchronization so any data written to the old system is automatically replicated in the new one. Third, we maintain full backups of the legacy system throughout the project, and the old system remains operational on standby for sixty to ninety days post-cutover. Fourth, we perform disaster recovery testing before go-live to verify we can successfully restore from backups. In fifteen years of legacy modernizations, we have never lost production data. Data is the most critical asset, and we treat it as such.
Yes, we have specific expertise in legacy technologies that most modern developers have never touched. This includes COBOL on IBM z/OS mainframes, RPG and COBOL on AS/400 (iSeries), PL/I, Oracle Forms, PowerBuilder, Visual Basic 6, Delphi, FoxPro, and virtually any enterprise technology from the last four decades. We also handle legacy databases like DB2, IMS, Informix, Sybase, and proprietary flat-file formats. We pair senior engineers who understand these old stacks with modern developers building the new system, creating a knowledge bridge. We also use static code analysis tools to understand dependencies and business logic embedded in code that hasn’t been touched in years. If your system is so old you think no one can work with it, we are likely among the few who can.
It depends on your time horizon, but modernization typically yields a positive ROI within two to four years. The hidden costs of maintaining legacy systems are high: expensive licenses for obsolete software (mainframes can cost $100K+ annually in licensing), on-premise infrastructure requiring dedicated data centers and staff, premium salaries for the few remaining COBOL engineers, and the opportunity cost of being unable to launch new features or integrations. Furthermore, the operational risk of a catastrophic failure without the expertise to fix it is a massive liability. When you sum these up against a one-time modernization investment, the breakeven point is usually reached quickly. We provide a detailed TCO (Total Cost of Ownership) analysis in our initial assessment to compare maintaining legacy versus modernizing for your specific case.