Software Modernization
Modernize applications for the cloud: refactor, re-architect, upgrade frameworks and improve performance without disrupting users.
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Division
Service area
Software & Legacy Modernization
Team
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Project · Team · Managed
Overview
Software modernization upgrades applications that still work but hold the business back: outdated frameworks, slow releases, poor performance, rising hosting costs or security concerns. We assess the application, choose the right approach per component — upgrade, refactor, re-platform or rebuild — and deliver changes incrementally with automated tests protecting existing behaviour.
Common use cases
- Framework upgradesMoving to supported framework and runtime versions.
- Cloud re-platformingContainerising and moving applications to managed cloud services.
- Performance remediationFixing slow pages, queries and processes.
- Architecture refactoringBreaking up tightly coupled code into maintainable modules.
Quick answers
Software Modernization at a glance
The essentials in brief. Every project is scoped individually — ask us for specifics.
- What is software modernization?
- Modernize applications for the cloud: refactor, re-architect, upgrade frameworks and improve performance without disrupting users.
- Who is it for?
- Typically startups building a first product, scale-ups extending a platform, and enterprises replacing or modernising internal software.
- What does Shivacha provide?
- Application assessment
- Test safety net
- Incremental refactoring
- Containerisation
- CI/CD introduction
- Security remediation
- Which technologies are used?
- Java, .NET, Kubernetes, Docker, Apache Kafka, PostgreSQL — chosen to fit your stack and constraints.
- How does the process work?
- System archaeology → Target architecture → Strangler pattern → Data migration → Decommission.
- What affects the cost?
- Number of user roles and core workflows
- Platforms (web, iOS, Android)
- Third-party integrations
- Design depth and accessibility targets
- Data migration from existing systems
- Performance, scale and uptime requirements
- How long does it take?
- An MVP typically takes 8–14 weeks; larger platforms are delivered in phases with a usable release every few weeks.
- How do I get started?
- Share a short brief in the form below, book a 30-minute call or message us on WhatsApp. A senior engineer replies within one business day; NDA on request.
Capabilities
What we deliver
Application assessment
Code quality, dependency and risk analysis.
Test safety net
Characterisation tests before changes.
Incremental refactoring
Continuous improvement without feature freezes.
Containerisation
Docker and Kubernetes packaging.
CI/CD introduction
Automated builds, tests and deployments.
Security remediation
Dependency updates and vulnerability fixes.
Architecture
Engineered right from day one
The layers we typically design for software & legacy modernization, adapted to your stack and partners.
- No big-bang rewritesIncremental replacement keeps risk low and value continuous.
- Behaviour preservationCharacterisation tests capture existing behaviour before changes.
- Parallel runningOld and new paths run side by side and results are compared.
- Knowledge captureBusiness rules are documented as they are rediscovered.
Delivery
How an engagement runs
- 1
System archaeology
Code analysis, dependency mapping and business-rule extraction.
- 2
Target architecture
Domain boundaries and sequencing based on risk and value.
- 3
Strangler pattern
Route traffic through a facade and replace capabilities one at a time.
- 4
Data migration
Incremental sync with reconciliation before cut-over.
- 5
Decommission
Retire legacy components once replacements are proven.
Security
Security built into delivery
Controls we apply by default on this kind of work — not a separate phase at the end.
Secure SDLC
Code review, dependency scanning and secrets kept out of source control.
Authentication
Proven identity providers, MFA and least-privilege roles.
OWASP coverage
Protection against common web and API vulnerabilities, verified in testing.
Backups & recovery
Automated backups with tested restore procedures.
Technology
Tools we use for this
Related services
Often combined with
Legacy System Modernization
Replace or transform legacy and mainframe-era systems incrementally using strangler patterns, data migration and parallel running.
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Backend Team
Engineers for APIs, services, data and distributed systems.
Work & insights
Related thinking
Incremental replacement of a legacy monolith
Our strangler-pattern approach for replacing a critical legacy system domain by domain without downtime.
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The foundations we put in place when building a SaaS product that will need to sell to enterprises.
Learn moreBuild vs buy: deciding when custom software is worth it
Buy what is commodity, build what differentiates — and be honest about which is which. A practical framework for build-versus-buy decisions.
Learn moreFAQ
Frequently asked questions
Can modernization happen alongside feature development?
Yes. We interleave modernization work with feature delivery so the roadmap keeps moving.
How do you prioritise what to modernize?
By business impact and risk — areas that change most often, fail most often or cost most to run come first.
How long does a modernization take?
It depends on system size, but incremental modernization delivers value within the first few months, with full migration often spanning a longer programme. We sequence work so each phase stands on its own.
Can you modernize without downtime?
Usually yes, using facades, feature flags, change data capture and parallel running. Planned cut-over windows are kept short and reversible.
Next step
Build Your Product.
Tell us about your software modernization requirements — goals, timeline and constraints. We will reply with questions, an approach and next steps.
- Senior engineer reads every enquiry
- Reply within one business day
- NDA on request
Your details are used only to reply to this enquiry.