Refactor & Modernisation Services India
Transform legacy applications into cloud-native architecture. Opsio's refactoring and modernisation services decompose monoliths into microservices, containerise workloads, and adopt serverless patterns — unlocking scalability, agility, and innovation for Indian enterprises.
Trusted by 100+ organisations across 6 countries
Cloud
Native
Micro
Services
10x
Deploy Frequency
Serverless
Ready
What's Included
Monolith Decomposition
Event Storming sessions to map the application's actual domain (not the org chart), bounded-context discovery, context-mapping diagrams, and a service decomposition proposal scored against complexity-vs-value. We surface candidate microservice boundaries plus the data-model splits each one requires — typically the harder problem than the code split.
Containerisation & Kubernetes
Docker containerisation of applications with Kubernetes orchestration on EKS, AKS, or GKE. Includes Dockerfile creation, Helm chart development, CI/CD pipeline integration, and production-ready cluster configuration.
Serverless Migration
Migration of eligible workloads to AWS Lambda, Azure Functions, or Cloud Functions. API Gateway configuration, event-driven architecture patterns, and Step Functions/Durable Functions for workflow orchestration.
API-First Architecture
RESTful and GraphQL API design, API Gateway implementation, service mesh configuration, and API versioning strategy — enabling microservices communication and third-party integration for Indian digital platforms.
Legacy Framework Migration
Migration from Java EE to Spring Boot, .NET Framework to .NET 8, PHP to modern frameworks, and COBOL/mainframe offloading — modernising the technology stack while preserving business functionality.
Cloud-Native CI/CD
Automated build, test, and deployment pipelines using GitHub Actions, GitLab CI, Azure DevOps, or AWS CodePipeline. Trunk-based development, feature flags, canary deployments, and automated rollback for Indian engineering teams.
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- Certified cloud engineers
Opsio's focus on security in the architecture setup is crucial for us. By blending innovation, agility, and a stable managed cloud service, they provided us with the foundation we needed to further develop our business. We are grateful for our IT partner, Opsio.
Jenny Boman
CIO · Opus Bilprovning
Refactor by Strangling, Not by Big-Bang Rewrite
Application refactoring is the cloud migration strategy where the application code itself changes — monolith to microservices, .NET Framework to .NET 8, Java EE on WebLogic to Spring Boot on EKS. The way Opsio runs it: never as a big-bang rewrite. We use the strangler fig pattern, named after the tropical vine that gradually replaces its host tree leaf by leaf. New microservices route specific functionality away from the monolith one bounded context at a time, controlled by an API gateway and feature flags. The monolith stays in production until the last service is extracted, then it's quietly shut down. No 18-month freeze, no all-or-nothing cutover. Opsio's refactoring and modernisation services provide a structured pathway from legacy to cloud-native. We decompose monoliths into microservices using domain-driven design, containerise applications with Docker and Kubernetes, adopt serverless compute with Lambda or Azure Functions, and implement event-driven architectures — all while preserving the business logic your Indian operations depend on.
The outcome is transformational: deployment frequency increases from quarterly to daily, scaling becomes automatic rather than manual, infrastructure costs drop through serverless and container efficiency, and your engineering teams shift from maintenance to innovation — critical for Indian enterprises competing in rapidly digitising markets.
The honest part most modernization decks skip: microservices are not free. Each service you extract from the monolith is one more deployment pipeline, one more on-call rotation entry, one more authentication boundary, one more potential point of failure. The 12-factor app principles work — but they work because someone built the platform that lets them work: a Kubernetes cluster (EKS, AKS, or GKE), a service mesh (Istio or Linkerd) handling service-to-service auth and mTLS, distributed tracing (OpenTelemetry + Jaeger or Datadog APM), a CI/CD chain (GitHub Actions, GitLab CI, Azure DevOps, or ArgoCD), and feature-flag tooling (LaunchDarkly or open-source alternatives) so the strangler fig actually works without breaking production. Refactor only when this overhead is worth it: when the application differentiates the business, when feature velocity is a competitive moat, or when scale demands independent deployment. For everything else, replatform. Featured reading from our knowledge base: IT Services India: Cloud Migration and Modernization Solutions – Opsio, Cloud Services for Indian SMEs: Cost-Effective Migration Guide, and MSP Managed Service Provider: Cloud Migration & Modernization – Opsio. Related Opsio services: AWS Migration Services in India — AWS MAP & 2-Hour Cutover, Cloud Migration Services in India — AWS MAP & Zero Downtime, Replatform Cloud Migration India, and Azure Migration Services in India — Entra ID & 2-Hour Cutover.
How Opsio Compares
| Capability | DIY Migration | System Integrator | Opsio |
|---|---|---|---|
| Discovery & assessment | Manual spreadsheets | Consultant-led, weeks | Automated tooling + expert review in days |
| Migration methodology | Ad-hoc, undocumented | Waterfall-based, rigid | AWS MAP / Azure Migrate — agile waves |
| Cutover downtime | Hours to days | 4-8 hours typical | Sub-2-hour cutover windows |
| Data-residency compliance | Self-managed, risky | Generic controls | DPDPA-aligned, Mumbai/Hyderabad enforced |
| Post-migration optimisation | None — lift and shift | Basic right-sizing | Continuous FinOps + quarterly reviews |
| IST-aligned support | Internal team only | Follow-the-sun, limited IST | 24/7 IST-based NOC + dedicated account manager |
| Typical cost (100 servers) | Hidden costs ₹80L+ | ₹1.2-1.8Cr (+ change orders) | ₹60L-1.2Cr (fixed-scope, MAP credits) |
Ready to get started?
What You Get
Pricing & Investment Tiers
Transparent pricing. No hidden fees. Scope-based quotes.
Single Application Modernisation
₹15,00,000–₹50,00,000
Microservices + containerisation
Platform Modernisation
₹50,00,000–₹1,50,00,000
Multi-application programme
Enterprise Transformation
₹1,50,00,000–₹3,00,00,000+
Full portfolio modernisation
Transparent pricing. No hidden fees. Scope-based quotes.
Questions about pricing? Let's discuss your specific requirements.
Why Choose Opsio for Cloud Services
DDD practitioners
Domain-driven design expertise for principled monolith decomposition, not arbitrary service splitting.
Kubernetes certified
CKA and CKAD certified engineers managing production GKE, EKS, and AKS clusters.
Polyglot modernisation
Java, .NET, Python, Node.js, Go — we modernise across technology stacks.
Indian enterprise experience
Proven refactoring for BFSI, e-commerce, and IT/BPO workloads under Indian compliance requirements.
Incremental approach
Strangler-fig pattern enabling gradual migration — no big-bang rewrite risk.
DevOps included
CI/CD pipelines, observability, and operational readiness are part of every modernisation.
Not sure yet? Start with a pilot.
Begin with a focused 2-week assessment. See real results before committing to a full engagement. If you proceed, the pilot cost is credited toward your project.
Our 4-Phase Delivery Process
Assess
Application portfolio analysis, technical-debt scoring, and modernisation strategy per workload.
Design
Domain modelling, microservices architecture, API design, and migration sequencing.
Implement
Iterative refactoring using strangler-fig pattern, containerisation, and CI/CD pipeline setup.
Operate
Production deployment, observability configuration, and operational handover to your Indian team.
Key Takeaways
- Monolith Decomposition
- Containerisation & Kubernetes
- Serverless Migration
- API-First Architecture
- Legacy Framework Migration
Industries Served by Opsio
BFSI
Modernisation of core banking, lending, and insurance platforms for digital-first customer experiences.
E-commerce & D2C
Monolith decomposition for Indian retail platforms requiring auto-scaling and rapid feature delivery.
IT/BPO
Legacy application modernisation for Indian IT companies serving global clients.
Telecom
BSS/OSS modernisation for Indian telecom operators pursuing digital transformation.
Refactor & Modernisation Services India — FAQ
What is application refactoring or modernisation?
Application refactoring (also called modernization) restructures existing application code to fit cloud-native architectural patterns: monolith → microservices on Kubernetes, .NET Framework → .NET 8 on ECS/App Service, Java EE on WebLogic → Spring Boot on EKS, batch jobs → AWS Lambda or Azure Functions. Business logic is preserved; everything around it changes — data model, deployment unit, runtime, authentication boundary. The goal isn't 'cloud-native' as an abstract aesthetic; it's faster deployments (daily instead of quarterly), independent service scaling, and the ability to onboard a new engineer in days instead of months.
How much does application modernisation cost in India?
Per-application refactoring typically runs ₹15,00,000-₹50,00,000 in India for monolith decomposition into 5-12 microservices plus containerization. Platform-wide programmes (10+ applications, shared platform layer, CI/CD plus observability stack stood up properly) run ₹50,00,000-₹2,00,00,000. The cost driver is service-boundary complexity: an application with clean domain separation extracts cleanly; one with hidden cross-table joins and shared sessions takes 2-3x longer because the data model has to split before the code can. We surface this in the assessment, not after kickoff. GST-compliant invoicing throughout.
How long does refactoring take?
Single application: 3-6 months for a typical mid-sized monolith decomposing into 5-12 microservices. Strangler-fig delivery means a working microservice extracted from the monolith every 2-4 weeks, in production behind the API gateway, taking real traffic. Portfolio programmes (10+ applications): 12-18 months, with the first 2 months spent standing up the shared platform (Kubernetes cluster, service mesh, CI/CD, observability) before any monolith is touched. Skipping that platform-first phase is the most common reason refactoring projects miss their dates.
Is refactoring risky for mission-critical applications?
The strangler fig pattern is purpose-built for risk reduction. Each extracted microservice runs in production alongside the monolith, with traffic gradually shifted via API gateway routing rules — start at 1%, validate, ramp to 10%, validate, ramp to 100% over days or weeks per service. Feature flags let you cut over a single user cohort first (e.g. internal admin users before customer-facing). Rollback to the monolith is always one config change away. The pattern is older than cloud-native — Martin Fowler documented it in 2004 — and it works because each step is a small, reversible decision rather than a one-shot cutover.
Do we need microservices for every application?
No, definitely not. Microservices add operational tax (more deployments, more inter-service auth, more failure modes) that's only worth paying when the application delivers competitive value, scales unevenly across components, or has multiple teams that need to deploy independently. For internal HR portals, simple CRUD admin tools, batch reporting jobs, and low-traffic legacy apps you'd rather retire in 3 years anyway — replatform or rehost is the right answer. We tell clients to refactor when the application is the product, not the back office.
When should Indian enterprises choose refactoring over replatforming?
Refactoring is ideal when applications need to scale independently, when development velocity is a competitive advantage, or when technical debt prevents feature delivery. Indian enterprises in fintech, e-commerce, and SaaS typically benefit most from refactoring. Opsio assesses each workload and recommends refactoring only when the long-term benefits justify the higher upfront investment and timeline.
How does Opsio implement microservices for Indian enterprises?
Opsio uses domain-driven design to identify bounded contexts, then incrementally decomposes monoliths using the strangler fig pattern. We implement API gateways, event-driven communication, and service mesh architecture — all deployed on Kubernetes in Indian cloud regions. Indian development teams participate throughout, receiving hands-on training and documentation to maintain and extend the microservices independently.
What is the strangler fig pattern and how does Opsio use it in India?
The strangler fig pattern incrementally replaces monolith functionality with microservices — routing traffic to new services while the monolith continues serving unchanged features. This approach eliminates big-bang risk, allowing Indian enterprises to refactor over months while maintaining production stability. Opsio implements this using API gateways and feature flags, with DPDPA-compliant data handling throughout.
Can Opsio refactor applications to serverless for Indian enterprises?
Yes, Opsio refactors suitable workloads to serverless architectures using AWS Lambda, Azure Functions, or Google Cloud Functions — deployed in Indian regions. Serverless is ideal for event-driven workloads, API backends, and data processing pipelines. Indian enterprises benefit from zero infrastructure management, automatic scaling, and pay-per-execution pricing that dramatically reduces costs for variable-traffic workloads.
How does Opsio ensure quality during refactoring of Indian enterprise applications?
Opsio implements comprehensive testing automation: unit tests, integration tests, contract tests, and end-to-end tests — all running in CI/CD pipelines. We use feature flags for gradual rollout, canary deployments for risk mitigation, and observability stacks for real-time monitoring. Indian enterprises receive full test coverage reports and application health dashboards throughout the refactoring journey.
Still have questions? Our team is ready to help.
Send a Pull Request from Your Monolith — We'll Map the First Strangler Service
Send a recent pull request URL or commit history from your monolith (any language, any framework, public OR private repo with read access). We return: an Event Storming summary identifying 3-5 bounded contexts, the recommended first strangler service to extract, the data-model split it requires, and the platform-prerequisite checklist (cluster, service mesh, CI/CD, observability) — INR estimate included. 7 working days, no NDA on the scoping doc.
Refactor & Modernisation Services India
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