We analyze outdated technology, fragile architecture, high maintenance costs and slow change processes together. With phased migration plans that protect business continuity, we prepare your applications for the future with current technology, modern architecture, cloud and automated delivery capabilities.
Software modernization is more than translating code into a new language or moving an application to the cloud. By evaluating business processes, user needs, technical debt, the data model, integrations and delivery operations together, it makes the application more secure, easier to maintain and adaptable to change.
Transform tightly coupled and fragile structures into modern architectures that fit your needs, such as a modular monolith, services or microservices.
Update unsupported frameworks, libraries and platforms; improve code quality, testability and maintainability.
Renew legacy data models, direct connections and batch transfers with secure APIs, messaging and scalable data structures.
Improve manual build, test and release processes with automation, observability and reliable operations standards.
We treat modernization not as a one-off technology upgrade but as a phased transformation program in which business value, technical risk, architecture, data, security, user experience and delivery operations are developed together.
Set modernization priorities by evaluating code, architecture, dependencies, data model, operational processes and the cost of change.
Reduce tight dependencies and single points of failure by modularizing the application along business domains and change needs.
Update unsupported technologies and packages; refactor critical code areas for testability and maintainability.
Renew legacy data structures and direct system connections with modern data models, APIs and event-based flows.
Run the application in secure, cost-controlled environments with managed services, containers and automatic scaling.
Automate build, test, security, deployment and monitoring processes to release changes faster and more reliably.
If valuable business rules and usable modules can be preserved, incremental modernization reduces risk. If the architecture has reached a dead end, the technology is unsupported and needs have changed radically, a controlled rebuild may be the better choice.
Suited to preserving existing business value while modernizing modules, layers or technical capabilities in order of priority.
Designed for cases where the existing structure blocks change and new business needs call for a different product, experience or architecture.
If several of the situations below apply, building a new product foundation may be a better choice than just improving the existing code.
We tailor the modernization strategy to the application's age, business value, architecture, technology risk and growth goals. We address varied scenarios, from unsupported platforms to monolithic structures and from desktop systems to cloud transformation.
Modernize modules, screens, services and data flows in order of priority without halting critical business processes; retire the old structure in a controlled way.
Separate tightly coupled code along business domains to enable independent development, testing, scaling and release.
Reduce security and maintenance risks by updating old languages, frameworks and dependencies with automated regression tests.
Make the application fit for containers, managed services, automatic scaling and infrastructure managed as code.
Transform applications that depend on local installation and specific devices into centralized, accessible, API-based modern experiences.
Renew direct database connections, file flows and complex schemas with modern APIs, events and data platforms.
We don't start modernization by rewriting the application all at once. We analyze business value, technical risk, dependencies and capacity for change, and split quick wins and structural transformation into phases that protect business continuity.
We clarify the applications' role in business processes, their users, owners, technology components and transformation expectations.
We identify modernization candidates by reviewing code, architecture, data model, security, performance, tests and operational processes.
For each application or module, we decide between rehosting, replatforming, refactoring, rearchitecting or rebuilding.
We design the modern application, data, integration, security and infrastructure architecture, along with a migration model in which old and new structures coexist.
We modernize modules, verify behavior with automated tests and route traffic to the new components in a controlled way.
We measure gains in performance, reliability, delivery and cost, and manage the remaining technical debt and the next transformation phases.
Phased modernization reduces the risk created by old technology and technical debt while preserving the application's existing business value. Teams build new features faster, spot operational problems earlier and manage the platform at more predictable cost.
Release new features in smaller, testable and safer pieces with a modular architecture and automated delivery processes.
Reduce development and operations load by simplifying old, complex code and automating repetitive manual work.
Reduce known vulnerabilities and compliance risks by removing unsupported frameworks and dependencies.
Respond to growing user and transaction load in a controlled way by eliminating bottlenecks, tight dependencies and capacity limits.
Reduce change-related errors and respond to problems faster with automated testing, controlled deployment and observability.
Improve onboarding and productivity with current tools, clear architectural boundaries and automated environments.
We don't see modernization security as only the controls of the new application. We manage dual-system use during migration, data synchronization, identity and permission transfer, controlled traffic routing and rollback scenarios end to end.
Move legacy user and role structures to a modern access model with central identity, strong authentication and least-privilege principles.
Classify, encrypt and migrate data with reconciliation checks; prevent loss, duplication and unauthorized access during migration.
Preserve existing business behavior with automated tests; put new code, dependencies, APIs and configurations through security checks.
Move traffic to the new structure by user, module or transaction; limit cutover impact with health checks and a ready rollback plan.
We prepare the concrete deliverables the transformation program needs, from current-state analysis to target architecture, from working modern components to data migration, and from automated tests to DevOps and operations assets.
An analysis showing findings on business value, code, architecture, data, security, dependencies, operations and technical debt, with risks and priorities.
A plan matching rehost, replatform, refactor, rearchitect or rebuild decisions with quick wins, dependencies, budget and timeline.
A modern technical design covering module, service, API, data, security, cloud, delivery and observability components.
Refactored or rebuilt code, APIs, data layers, configurations and technical documentation.
A validation set including regression, performance and security tests, data reconciliation, traffic cutover, acceptance and rollback plans.
A set including CI/CD pipelines, IaC, dashboards, alerts, SLI/SLO, runbooks, incident management and the remaining technical debt backlog.
The most common questions about timelines, costs, working model and support afterwards.
Send your questionA transformation service that preserves the business value of older applications while making their architecture, code, technology, data, integrations, security and operations more current, sustainable and open to change.
The application's business criticality, users, code, architecture, dependencies, data, security and operations are analyzed. A roadmap is built by matching findings with business value and technical risk.
The duration varies with the size and complexity of the application, the chosen modernization approach, test coverage, data migration, integrations and the transformation phases.
Cost depends on the current system analysis, the modules and layers to be modernized, the target architecture, code and data migration, testing, cloud infrastructure, DevOps and migration support.
Not always. Depending on the existing value and technical state, one or several of the rehost, replatform, refactor, rearchitect or incremental rebuild approaches can be used together.
In most projects, yes. With module-based migration, the strangler approach, feature flags and controlled traffic routing, old and new structures can run side by side for a set period.
The source data is profiled; cleansing, mapping and transformation rules are created. Migration is carried out in a controlled way with trial migrations, record and total reconciliation, a downtime plan and a rollback scenario.
After the relevant functions, data, integrations and users have moved to the new structure and the acceptance, performance, security and rollback criteria have been verified, it is shut down in a planned way.
Let's review your existing application, its technical issues and your business goals together. We'll pin down the value to preserve, the priority transformation areas and a practical first modernization step.
