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Legacy systems weren't built to adapt. Over time, they become expensive to maintain, risky to change, and impossible to integrate with modern tools. Most modernization projects fail not because of bad intent — but because teams try to change everything at once. We take a different approach: phased, controlled, and measurable. Every change is reversible. Every cutover is planned. Every system stays live.
We leverage cutting-edge tools to ensure every solution is efficient, scalable, and tailored to your needs. From development to deployment, our technology toolkit delivers results that matter.

We leverage proprietary accelerators at every stage of development, enabling faster delivery cycles and reducing time-to-market. Launch scalable, high-performance solutions in weeks, not months.

What is application modernization?
Application modernization is the process of updating legacy software systems to remove technical constraints — improving performance, scalability, and integration capability — without replacing proven business logic. This includes re-architecting, API exposure, database migration, and UI modernization.
How long does a typical modernization engagement take?
It depends on system complexity and scope. A focused API exposure or UI modernization initiative can deliver results within 3–6 sprints. Larger monolith-to-modular transitions are phased over 6–18 months, with production-ready components released incrementally throughout.
Do we need to migrate to microservices?
Not always. Microservices are the right choice when scale, team autonomy, and deployment frequency justify the operational overhead. Many mid-market systems benefit more from modularization within a monolith, or selective API exposure, than from full microservice decomposition. We recommend the approach that matches your structural need — not the one that's currently in fashion.
Can modernization happen without downtime?
Yes. We use phased refactoring, change data capture for database migrations, and the Strangler pattern for monolith decomposition — all designed to keep systems live throughout. Cutovers are planned, validated, and rollback-ready before they execute.
How does Hakuna Matata handle PL/SQL migration?
Our ADaM framework analyzes existing SQL and PL/SQL procedures and wraps them into versioned REST or GraphQL APIs — preserving business logic while exposing it through modern, governable interfaces. This enables teams to modernize data access without rewriting core backend systems.
