Modernise legacy systems without stopping the business.
Incremental modernisation of monoliths, mainframe-era systems and outdated platforms using strangler patterns and parallel running.
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Legacy systems encode decades of business rules and cannot simply be replaced. Big-bang rewrites carry enormous risk; doing nothing carries rising cost, security exposure and lost agility.
Shivacha modernises incrementally: recovering business rules, placing API facades in front of legacy systems, extracting and replacing domains one at a time, migrating data with reconciliation and running old and new systems in parallel until the new path is proven.
Challenges
What stands in the way
Undocumented logic
Business rules known only to code and a few people.
Risk of downtime
Critical systems that cannot tolerate outages.
Skills scarcity
Fewer engineers who know legacy technologies.
Rising cost
Licensing, hardware and maintenance growing each year.
Approach
How Shivacha helps
- 1
System archaeology
Recover rules through code and behaviour analysis.
- 2
Strangler pattern
Replace capabilities incrementally behind a facade.
- 3
Parallel running
Compare outputs before cut-over.
- 4
Decommission safely
Retire legacy only once replacements are proven.
Deliverables
- Legacy assessment and business rule catalogue
- Target architecture
- API facade
- Incrementally replaced domains
- Validated data migration
- Decommissioning plan
Services
Services in this solution
Legacy System Modernization
Replace or transform legacy and mainframe-era systems incrementally using strangler patterns, data migration and parallel running.
Learn moreSoftware Modernization
Modernize applications for the cloud: refactor, re-architect, upgrade frameworks and improve performance without disrupting users.
Learn moreAPI Development
Design and build secure, well-documented APIs that power your apps, partners and integrations — REST, GraphQL and real-time.
Learn moreCloud Migration
Migrate applications and data to the cloud safely — assessment, landing zones, migration waves, cut-over and optimisation.
Learn moreMicroservices Development
Microservices architecture done deliberately: domain boundaries, service communication, data ownership and operability.
Learn moreCore Banking Platform Development
Modern core banking components — ledger, product engine, interest, fees and limits — or integration with existing cores.
Learn moreProducts
Platforms that accelerate delivery
Shivacha ERP
Modular ERP for finance, inventory, procurement and operations.
Learn moreShivacha Portal
Secure self-service portals for customers, partners, suppliers and employees.
Learn moreShivacha Banking API
Secure, versioned banking APIs over any core — with sandbox and developer portal.
Learn moreLearn more
Related work and thinking
Incremental replacement of a legacy monolith
Our strangler-pattern approach for replacing a critical legacy system domain by domain without downtime.
Learn moreLedger-first architecture for a partner-bank neobank
How we structure a neobank so that balances always reconcile with the sponsor bank and partners can be added or replaced.
Learn moreModular monolith first: when microservices are actually worth it
Microservices solve organisational scaling problems and introduce distributed-systems problems. Most products should earn them.
Learn moreYour ledger is your product: designing money movement that always reconciles
Fintech products are judged on experience but survive on correctness. A double-entry ledger at the core is what makes balances provable.
Learn moreTransformation measured in shipped systems, not slideware
Transformation programmes succeed when every phase ships something that changes how customers are served or how work gets done.
Learn moreFinTech Platform Architecture Guide
Ledger-first architecture for financial products: account models, money movement state machines, partner abstraction and reconciliation.
Learn moreFAQ
Frequently asked questions
How long does modernisation take?
Value arrives within months; full replacement of large systems is a longer programme sequenced by risk and value.
Can modernisation happen with zero downtime?
Usually close to it, with facades, feature flags, change data capture and short reversible cut-overs.
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