From legacy application re-platforming and monolith-to-microservices decomposition to cloud-native development, API-first architecture, and full-stack custom application builds, Cinovic modernises what you have and builds what you need, at the speed your business demands.
We partner with technology leaders at organisations where legacy applications have become the #1 blocker to growth, slowing feature delivery, inflating maintenance costs, blocking cloud adoption, and preventing the AI and digital transformation initiatives their business demands.
We don't just migrate code to the cloud, we re-architect applications for the way modern software is built, deployed, and scaled, ensuring your engineering team inherits a codebase they can move fast with, not another legacy system with a cloud logo on it.
From legacy application re-platforming and monolith decomposition to cloud-native development, microservices architecture, API design, DevOps transformation, and full-stack greenfield builds, we cover the complete application modernisation and development lifecycle.
Diagnose your legacy application estate before a single line of code changes, technical debt quantification, architecture anti-pattern identification, dependency mapping, technology risk scoring, business value vs. modernisation cost analysis, and a prioritised modernisation roadmap with phased delivery milestones aligned to your business objectives and risk tolerance.
Move legacy applications to cloud platforms with targeted optimisation, containerising applications with Docker, re-platforming to managed cloud services (AWS ECS/EKS, Azure AKS, Google GKE), replacing on-premise middleware with cloud-native equivalents, and optimising for cloud pricing models, delivering cloud benefits without the cost and risk of full re-architecture.
Safely decompose monolithic applications into independently deployable microservices, applying Domain-Driven Design (DDD) for bounded context identification, Strangler Fig pattern for incremental extraction, event-driven architecture with Kafka or RabbitMQ, API gateway design, service mesh implementation with Istio or Linkerd, and distributed system observability with OpenTelemetry.
Build applications designed for the cloud from day one 12-factor app principles, containerised workloads on Kubernetes, serverless functions (AWS Lambda, Azure Functions, Google Cloud Functions), infrastructure-as-code with Terraform, automated CI/CD pipelines, feature flags, blue-green deployments, and canary releases for zero-downtime continuous delivery.
Design and build the APIs that connect your applications, data, and partners, RESTful API development with OpenAPI specifications, GraphQL schema design and federation, gRPC service definitions, event-driven APIs with AsyncAPI, API gateway implementation (AWS API Gateway, Kong, Apigee), API versioning strategies, rate limiting, and developer portal documentation.
Build bespoke applications from the ground up — React, Next.js, Vue.js, or Angular frontends; Node.js, Python (FastAPI, Django), Java (Spring Boot), .NET, or Go backends; PostgreSQL, MongoDB, or Redis data layers; and AWS, Azure, or GCP cloud deployment — with agile delivery, automated testing, and production-grade DevOps from sprint one.
Diagnose your legacy application estate before a single line of code changes, technical debt quantification, architecture anti-pattern identification, dependency mapping, technology risk scoring, business value vs. modernisation cost analysis, and a prioritised modernisation roadmap with phased delivery milestones aligned to your business objectives and risk tolerance.
Move legacy applications to cloud platforms with targeted optimisation, containerising applications with Docker, re-platforming to managed cloud services (AWS ECS/EKS, Azure AKS, Google GKE), replacing on-premise middleware with cloud-native equivalents, and optimising for cloud pricing models, delivering cloud benefits without the cost and risk of full re-architecture.
Safely decompose monolithic applications into independently deployable microservices, applying Domain-Driven Design (DDD) for bounded context identification, Strangler Fig pattern for incremental extraction, event-driven architecture with Kafka or RabbitMQ, API gateway design, service mesh implementation with Istio or Linkerd, and distributed system observability with OpenTelemetry.
Build applications designed for the cloud from day one 12-factor app principles, containerised workloads on Kubernetes, serverless functions (AWS Lambda, Azure Functions, Google Cloud Functions), infrastructure-as-code with Terraform, automated CI/CD pipelines, feature flags, blue-green deployments, and canary releases for zero-downtime continuous delivery.
Design and build the APIs that connect your applications, data, and partners, RESTful API development with OpenAPI specifications, GraphQL schema design and federation, gRPC service definitions, event-driven APIs with AsyncAPI, API gateway implementation (AWS API Gateway, Kong, Apigee), API versioning strategies, rate limiting, and developer portal documentation.
Build bespoke applications from the ground up — React, Next.js, Vue.js, or Angular frontends; Node.js, Python (FastAPI, Django), Java (Spring Boot), .NET, or Go backends; PostgreSQL, MongoDB, or Redis data layers; and AWS, Azure, or GCP cloud deployment — with agile delivery, automated testing, and production-grade DevOps from sprint one.
We combine software architecture expertise, DevOps engineering discipline, cloud infrastructure depth, and AI integration capability to build and modernise applications that engineering teams love maintaining and businesses rely on completely.
Build engineering automation that accelerates delivery without sacrificing quality, CI/CD pipelines with GitHub Actions, GitLab CI, or CircleCI; automated test suites (unit, integration, E2E with Playwright or Cypress); static code analysis (SonarQube, CodeClimate); container image scanning; infrastructure drift detection; and automated rollback on failed deployments.
Instrument applications for full production visibility, distributed tracing with OpenTelemetry and Jaeger, metrics collection with Prometheus and Grafana dashboards, log aggregation with ELK Stack or Loki, error tracking with Sentry, SLO/SLA definition and alerting, on-call runbook documentation, and chaos engineering practices to validate resilience before incidents find you.
Embed security into every stage of the application lifecycle, OWASP Top 10 mitigation in development, SAST and DAST tooling in CI/CD pipelines (Snyk, Trivy, OWASP ZAP), secrets management with HashiCorp Vault or AWS Secrets Manager, zero-trust network architecture, JWT and OAuth 2.0 authentication patterns, penetration testing readiness, and GDPR/SOC 2/ISO 27001 compliance alignment.
Embed AI capabilities directly into your application architecture, LLM API integration (OpenAI, Anthropic, Mistral), RAG pipeline implementation for document-aware features, AI-powered search with vector databases (Pinecone, Weaviate), conversational UI engineering, prompt engineering and LLM orchestration with LangChain or LlamaIndex, and AI feature flag management for controlled rollout.
Stay ahead with practical architecture guides, modernisation case studies, and deep-dives on microservices, cloud-native development, DevOps, API design, legacy migration patterns, and building AI-ready applications.
Hyvä theme cuts Magento 2 page weight by 80–90% vs Luma and costs 3× less than PWA. See Cinovic's technical breakdown of Alpine.js, Tailwind CSS & Core Web Vitals.
A 2026 enterprise guide to building high-performance Power BI data models, from star schema design to DAX time intelligence, predictive analytics, and row-level security.
Hyvä migration delivers measurable ROI: Magento stores see LCP drop from 4.8s to 1.2s and 50%+ achieve green Core Web Vitals. See how Cinovic turns performance into profit.
Tell us about your legacy application, your engineering pain points, and the business capabilities you need to unlock, and we'll deliver an honest technical assessment, modernisation options, and a risk-rated roadmap within 48 hours.
Application modernisation is the process of updating, re-architecting, or rebuilding legacy software systems to improve performance, maintainability, scalability, and business agility. It matters because legacy applications accumulate technical debt that slows feature delivery, inflates operating costs, creates security vulnerabilities, blocks cloud adoption, and prevents AI integration. Organisations that modernise their application estate deploy faster, innovate more, and spend less keeping the lights on.
Re-platforming moves your application to a new platform (e.g., cloud) with minimal code changes, offering faster but limited benefit. Re-architecting changes the application's structure (e.g., monolith to microservices) for scalability and agility without a full rewrite. Rebuilding (re-writing) replaces the application from scratch using modern technology, the highest risk and cost but maximum long-term benefit. The right approach depends on your application's age, business criticality, team capability, and budget. We assess all options and recommend the highest-value, lowest-risk path.
We use incremental modernisation patterns, primarily the Strangler Fig pattern, to replace legacy components gradually while the application remains live. We decompose the system boundary by boundary, run legacy and modern components in parallel, route traffic incrementally using feature flags or API gateways, maintain full rollback capability at every stage, and keep deployment frequency high throughout so the business never experiences a modernisation 'blackout period'.
Not always. Microservices solve specific problems , independent scaling, independent deployment, and team autonomy at scale, but they introduce distributed system complexity: network latency, eventual consistency, distributed tracing, and service-to-service security. We recommend microservices decomposition when your monolith has clear domain boundaries, multiple teams working on it, scaling bottlenecks in specific modules, or deployment dependencies causing release contention. For smaller teams and simpler applications, a well-structured modular monolith often delivers better outcomes.
Timelines depend heavily on application size, complexity, and the modernisation approach chosen. A targeted re-platforming of a single application to the cloud takes 6–12 weeks. An incremental microservices decomposition of a medium-complexity monolith runs 4–9 months. A full re-architecture or domain-by-domain strangler migration for a large enterprise application takes 12–24 months in phased delivery. Greenfield application builds run 3–9 months, depending on the scope. We scope everything in detail during your free legacy application assessment.