Legacy applications should not limit business growth. Teceze modernizes monolithic systems into resilient, secure, cloud native platforms that accelerate innovation, improve performance and reduce operational complexity. We start with the code you already have, not with a rewrite you cannot fund.
Modernization Assessment Aging architectures make every change slower, riskier and more expensive. Modernization only returns value when the platform, the data layer and the release pipeline move together. These are the six workstreams we run, and the order we run them in.
Static application security testing and full dependency analysis map what the application actually does, what it touches and what is unsafe to move. Assumptions get replaced with evidence before a single component is migrated.
Secure RESTful and gRPC APIs are introduced to decouple tightly bound functions. Each interface becomes a seam you can replace independently, which is what makes phased modernization possible instead of a single high risk cutover.
Workloads move onto containers, orchestration and service meshes across hybrid and multi cloud estates. Infrastructure as code delivers Kubernetes on EKS, GKE or AKS, or serverless where the consumption profile justifies it.
Domain driven microservices run in containers and communicate through Kafka or RabbitMQ. Services scale, fail and release on their own schedule, so one busy function no longer dictates the capacity of the whole application.
Edge routing enforces mutual TLS, rate limiting and JWT authentication on every call. Traffic policy, identity and throttling live in one controlled layer rather than being reimplemented inconsistently inside each service.
Build, test, security scanning and deployment run as one automated pipeline. Security is not an afterthought, it is built into every layer, which is what turns quarterly release windows into daily deployments that nobody has to schedule.
These are the outcomes Teceze targets on application modernization and replatforming programmes. We establish your total cost of ownership baseline during the assessment, then commit to the target state in the statement of work.
Up to a 40% reduction in total infrastructure footprint once workloads run on right sized cloud native platforms.
Transition from quarterly, high risk manual releases to multiple automated code deployments per day.
Availability SLA achieved by replacing single point of failure monoliths with isolated, self healing microservice clusters.
Elimination of outdated frameworks and proprietary licensing constraints that constrain your roadmap and your renewal terms.
Delivery runs in six gated phases: deep discovery, assessment and total cost of ownership baseline, target state design with pilot execution, core migration, strangler pattern decoupling, then hyperscale and handover. No phase starts until the previous one has met its exit criteria.
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Replatforming moves an application onto a modern runtime, container platform or managed database with limited change to the code itself. It is faster, lower risk and mainly buys you infrastructure savings, better availability and an exit from ageing licences. Modernization goes further, changing the architecture itself through API first refactoring and domain driven microservices so the application can be released, scaled and extended independently. Most estates need both, applied to different applications. The assessment tells you which is which rather than applying one answer to everything.
No, and we would advise against it. We use the strangler pattern: new services are stood up alongside the existing monolith, traffic is routed to them progressively through the API gateway, and functions retire from the legacy system only once their replacement is proven in production. The legacy application keeps running throughout. That is what allows a modernization programme to deliver value in the first quarter instead of asking the business to wait until a single large cutover.
Through deep discovery and a total cost of ownership baseline, which are the first two phases of delivery. Code mining, static application security testing and dependency analysis tell us the technical risk. Your run costs, incident history and release frequency tell us the business case. Applications are then sequenced by value against effort. High cost, high friction, low complexity workloads go first so the programme funds its own later phases.
We build on hybrid and multi cloud foundations using infrastructure as code, with Kubernetes delivered through Amazon EKS, Google GKE or Azure AKS, and serverless architectures where the workload profile suits it. The data layer uses polyglot persistence, combining relational databases with NoSQL stores and cache layers rather than forcing every workload into one engine. Services communicate through Kafka or RabbitMQ, and the edge is managed through an API gateway enforcing mutual TLS, rate limiting and JWT authentication.
Every phase has defined exit criteria and a rollback position. Target state design is validated through a pilot before core migration begins, so the pattern is proven on a real workload rather than on a diagram. During decoupling, legacy and modernized components run in parallel behind the gateway. Traffic is shifted incrementally and can be shifted back, which is why users experience a change in performance rather than a change in availability.
Security is built into every layer rather than added at the end. Static application security testing runs during discovery, container images and dependencies are scanned in the pipeline, and every deployment passes the same automated gates. At runtime the API gateway enforces mutual TLS, rate limiting and JWT authentication on service to service and external traffic. Data residency and sector specific controls are agreed before migration begins and documented as contractual obligations.
Duration depends on estate size and how tightly coupled the applications are, which is exactly what discovery and the total cost of ownership baseline exist to establish. A single application replatforming is measured in weeks. A multi application modernization runs across phased releases. We price the assessment as a fixed scope engagement, then the delivery phases against the sequenced roadmap it produces. You approve each phase on the basis of the previous one, rather than committing the full programme budget on day one.
Teceze delivers application development and modernization across retail, healthcare, manufacturing, banking and financial services, government and education. The engineering patterns are consistent across sectors. What changes is the compliance envelope, the data residency requirement and the tolerance for downtime, all of which are set during discovery rather than assumed.
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Schedule a 45 minute modernization assessment with our application engineering specialists. You will leave with a clear view of where your run costs sit today and which applications repay modernization first.