Platform Modernization Services
Rebuild, migrate, or re-architect legacy enterprise platforms into modern, scalable, cloud-native systems designed for speed, security, and long-term maintainability. From monolithic architectures to microservices, on-premise to cloud, and technical debt to innovation velocity, we modernize platforms without disrupting operations.
Years of Service
Client Renewal Rate
Global Clients
Ave. Onboarding
When to Choose Platform Modernization Services
Choose Scrums.com Platform Modernization Services When:
- Your monolithic architecture can't scale and every feature takes weeks to deploy because everything is tightly coupled (microservices reduce deployment time by 5x)
- Infrastructure costs are unsustainable with expensive on-premise hardware, high maintenance overhead, and limited elasticity (cloud migration reduces costs 40-70%)
- Technical debt blocks innovation as your team spends more time maintaining legacy code than building new features (modernization reduces maintenance by 60%)
- Performance degrades under load with system instability during peak traffic, slow response times, and frequent outages (modern architecture improves performance 3-5x)
- You can't attract/retain developers because working on outdated technology stacks damages career growth and team morale (modern tech improves retention)
- Compliance and security requirements can't be met with aging systems lacking modern security controls, audit capabilities, or regulatory compliance features
- Your platform can't support business growth with rigid architecture preventing new product launches, market expansion, or acquisition integrations
- Legacy vendor lock-in limits flexibility with proprietary platforms, expensive licensing, or sunset technologies requiring urgent replacement
Consider Alternative Scrums.com Solutions:
- Need ongoing maintenance of legacy systems? → Software Maintenance & Support
- Want complete platform rebuild from scratch? → Custom Software Development
- Require cloud infrastructure optimization only? → Cloud Hub Services
- Need DevOps and CI/CD implementation? → AI & Automation Services
- Building new products alongside modernization? → Product Development as-a-Service
What's Included in Platform Modernization Services
Our comprehensive platform modernization services address the full transformation journey, from legacy system assessment and architecture redesign to phased migration execution and post-modernization optimization.
Legacy Platform Assessment & Strategy
Comprehensive analysis of your existing platform architecture, codebase, dependencies, technical debt, and business requirements. We identify modernization opportunities, assess migration risks, prioritize transformation initiatives, and create detailed roadmaps balancing business value with technical feasibility, ensuring modernization efforts align with strategic goals and deliver maximum ROI.
Monolith to Microservices Migration
Decompose monolithic applications into independently deployable microservices using domain-driven design and strategic bounded contexts. We identify service boundaries, design API contracts, implement event-driven communication, establish service orchestration, and execute phased migration, enabling independent scaling, faster deployments, and team autonomy while maintaining system stability throughout the transition.
Cloud Migration & Re-platforming
Migrate on-premise applications to cloud infrastructure (AWS, Azure, GCP) using lift-and-shift, re-platforming, or cloud-native refactoring strategies. We assess cloud readiness, design cloud architecture, implement infrastructure-as-code, migrate databases and applications, optimize cloud costs, and establish cloud-native DevOps practices, reducing infrastructure costs by 40-70% while improving scalability and reliability.
Technical Debt Reduction & Code Modernization
Systematic reduction of accumulated technical debt through code refactoring, dependency updates, architecture improvements, and testing coverage enhancement. We use AI-powered code analysis to identify debt hotspots, prioritize refactoring based on business impact, modernize outdated frameworks and libraries, improve code quality and maintainability, and establish practices preventing future debt accumulation.
API & Integration Modernization
Transform legacy integration patterns into modern API-first architecture using RESTful APIs, GraphQL, event-driven messaging, and API gateway patterns. We design API contracts, implement API versioning strategies, establish API security and rate limiting, modernize legacy SOAP/XML integrations, and create API management platforms, enabling flexible integration with internal systems and external partners.
DevOps & CI/CD Implementation
Establish modern DevOps practices and automated CI/CD pipelines replacing manual deployment processes. We implement infrastructure-as-code (Terraform, CloudFormation), containerization (Docker, Kubernetes), automated testing integration, deployment automation, monitoring and observability, and GitOps workflows, reducing deployment time from hours to minutes while improving reliability and enabling continuous delivery.
Our Platform Modernization Approach
We don't rip-and-replace legacy systems overnight, we modernize incrementally with proven frameworks that maintain business continuity while delivering continuous value. Our risk-managed approach combines architectural expertise, automated migration tools, and phased execution to transform platforms safely and predictably.
Strangler Fig Pattern for Safe Migration
We use the strangler fig pattern to incrementally replace legacy functionality with modern services while maintaining system stability. New features build on modern architecture, existing features gradually migrate, and legacy components retire only when fully replaced, eliminating big-bang migration risks. This approach allows continuous delivery of business value throughout modernization, maintains user experience consistency, and provides rollback safety at every phase.
AI-Powered Code Analysis & Migration
Our AI agents analyze legacy codebases to identify refactoring opportunities, detect technical debt hotspots, map dependencies, suggest migration patterns, and even generate modernized code for common scenarios. This AI-augmented approach accelerates analysis that would take months manually, identifies risks humans might miss, and provides data-driven prioritization for modernization efforts, reducing assessment time by 60% while improving migration accuracy.
Platform-Enabled Modernization Visibility
All modernization work orchestrates through SEOP, providing stakeholders with real-time visibility into migration progress, risk indicators, performance improvements, and cost savings. Track which components are modernized, what remains, where technical debt exists, and how system performance improves, no more wondering about modernization status or waiting for monthly status reports. SEOP dashboards show migration health continuously.
Platform Modernization Implementation Process
Our structured modernization process balances speed with safety, delivering continuous value while maintaining system stability throughout the transformation journey.
Discovery & Architecture Design
We begin with comprehensive platform assessment, identifying modernization opportunities and designing target architecture. Our team analyzes existing systems, documents dependencies, evaluates technology options, assesses migration risks, and creates detailed modernization roadmaps prioritized by business value and technical feasibility.
Key Activities:
- Current platform architecture documentation and analysis
- Codebase assessment using AI-powered analysis tools
- Technical debt identification and quantification
- Dependency mapping across systems and teams
- Business requirement and constraint gathering
- Target architecture design (microservices, cloud-native patterns)
- Migration strategy definition (strangler fig, replatforming, refactoring)
- Risk assessment and mitigation planning
- Cost-benefit analysis and ROI projections
- Modernization roadmap with phased milestones
Deliverable: Platform assessment report, target architecture diagrams, migration strategy document, phased roadmap with timelines and costs
Foundation & Infrastructure Setup
Establish modern infrastructure foundations including cloud environments, CI/CD pipelines, monitoring systems, and development tooling. We set up containerization platforms, implement infrastructure-as-code, configure deployment automation, and prepare environments for incremental migration, ensuring new architecture is production-ready before migration begins.
Key Activities:
- Cloud infrastructure provisioning (AWS, Azure, GCP)
- Kubernetes cluster setup and configuration
- CI/CD pipeline implementation (Jenkins, GitLab CI, GitHub Actions)
- Infrastructure-as-code implementation (Terraform, CloudFormation)
- Monitoring and observability platform setup (Prometheus, Grafana, DataDog)
- API gateway and service mesh configuration
- Database migration strategy and tooling setup
- Security and compliance framework implementation
- Development environment standardization
- Team training on modern architecture patterns and tools
Deliverable: Production-ready modern infrastructure, automated deployment pipelines, monitoring dashboards, migration tooling configured
Incremental Migration & Modernization
Execute phased migration using strangler fig pattern, building new functionality on modern architecture while gradually migrating existing features. We start with low-risk components, validate each migration phase thoroughly, and maintain business continuity throughout. Duration varies by platform complexity and scope.
Key Activities:
- Identify and prioritize migration candidates (high-value, low-risk first)
- Implement modern microservices for new features
- Extract and migrate legacy components incrementally
- Establish API contracts and integration patterns
- Database migration and data synchronization
- Performance testing and optimization
- Security validation and compliance verification
- User acceptance testing for migrated functionality
- Gradual traffic migration from legacy to modern components
- Legacy component retirement as modern equivalents stabilize
Deliverable: Incrementally modernized platform, validated performance improvements, reduced technical debt, maintained business continuity
Optimization & Legacy Retirement
Continuously optimize modern platform performance, eliminate remaining technical debt, retire legacy systems completely, and establish practices preventing future debt accumulation. We monitor system performance, identify optimization opportunities, and ensure teams adopt modern development practices for long-term maintainability.
Key Activities:
- Performance monitoring and optimization
- Cost optimization (cloud resource rightsizing, reserved instances)
- Technical debt prevention through code quality standards
- Team training on modern architecture and best practices
- Documentation updates and knowledge transfer
- Legacy system decommissioning and data archival
- Continuous improvement of DevOps practices
- Architecture governance and standards establishment
- Quarterly modernization reviews and roadmap updates
Deliverable: Fully modernized platform, comprehensive documentation, trained teams, cost-optimized infrastructure, retired legacy systems
Ready to Modernize Your Legacy Platform?
Our platform modernization services combine expert architects, proven migration frameworks, and AI-powered analysis to transform legacy systems into cloud-native applications safely and predictably, reducing infrastructure costs by 40-70%, improving performance 3-5x, and enabling innovation velocity without operational disruption.
Platform Modernization Technologies We Use
Our modernization architects have deep expertise across cloud platforms, containerization technologies, modern frameworks, and migration tools. From AWS and Azure to Kubernetes and microservices frameworks, we deploy the right technology stack for your modernization journey, all orchestrated through SEOP for unified visibility and governance.
What Our Clients Say
Platform Modernization Services Pricing
What Impacts Platform Modernization Costs?
Platform Size & Complexity
Modernizing a single monolithic application costs less than transforming an enterprise ecosystem with dozens of interconnected systems, shared databases, and complex dependencies. More codebases, integrations, and technical debt = more assessment and migration effort.
Migration Strategy Chosen
Lift-and-shift cloud migration (rehost) costs less than re-platforming (modify for cloud) or complete refactoring (re-architect to microservices). More architectural transformation = more development effort but delivers greater long-term benefits.
Technical Debt & Code Quality
Platforms with well-documented, modular code modernize faster than legacy systems with poor documentation, spaghetti code, and undocumented dependencies. Higher technical debt requires more analysis, refactoring, and testing, increasing modernization scope.
Data Migration Complexity
Simple database migrations cost less than complex data transformations, data model redesign, distributed database implementation, or maintaining data synchronization during phased migration. Large data volumes, strict compliance requirements, or zero-downtime constraints add complexity.
Integration & Dependency Count
Platforms with fewer external integrations modernize faster than systems tightly coupled with CRM, ERP, payment gateways, legacy APIs, and third-party services. Each integration requires analysis, testing, and potential re-implementation during modernization.
Business Continuity Requirements
Modernizing non-critical systems with acceptable downtime windows costs less than mission-critical platforms requiring zero-downtime migration, blue-green deployments, gradual traffic shifting, and extensive rollback planning. Stricter continuity requirements = more careful orchestration and testing.
Industry Benchmarks: What Platform Modernization Typically Costs
These are general industry ranges to help you budget:
Small Platform Modernization (Single Application, 6-9 months)
Monolith to microservices or cloud migration for focused application
Industry range: $150K - $400K
Mid-Sized Platform Modernization (Multiple Apps, 12-18 months)
Multi-application ecosystem modernization with moderate integration complexity
Industry range: $400K - $1.2M
Enterprise Platform Transformation (Complex Systems, 18-36+ months)
Large-scale modernization with legacy mainframe migration, data center exit, complex integrations
Industry range: $1.2M - $5M+
Technical Debt Reduction Projects
Focused refactoring initiatives, framework updates, code quality improvement
Industry range: $50K - $300K per initiative
The Scrums.com Advantage: Enterprise Modernization at Predictable Costs
Unlike system integrators charging premium rates for big-bang migrations with high failure risk, we deliver incremental platform modernization at 40-60% cost savings compared to US/UK consultancies, using proven frameworks, AI-powered analysis, and phased execution that maintains business continuity while delivering continuous value.
What Makes Our Modernization Different:
Risk-Managed Incremental Approach – Strangler fig pattern delivers value continuously while maintaining stability. No big-bang rewrites.
AI-Powered Code Analysis – AI agents analyze legacy code, identify debt, map dependencies, and suggest refactoring, 60% faster than manual analysis
Platform-Enabled Visibility – Real-time migration progress, performance improvements, and cost savings tracked through SEOP dashboards
Proven Migration Frameworks – Pre-built patterns for common modernization scenarios (monolith decomposition, cloud migration, API modernization)
Expert Modernization Architects – 13 years experience transforming legacy platforms across FinTech, Banking, Healthcare, and Enterprise
Flexible Team Scaling – Ramp modernization teams up during heavy migration phases, down during stabilization, optimizing costs
94% Client Renewal Rate – Clients stay because modernization delivers promised outcomes without operational disruption
Three Ways to Structure Platform Modernization
Dedicated Modernization Team
Full-time architects, developers, and DevOps engineers focused exclusively on platform transformation.
Best for: Large-scale enterprise modernization requiring sustained focus and deep platform knowledge
Phased Modernization Sprints
Time-boxed modernization initiatives with defined scope, milestones, and success criteria executed in quarterly phases.
Best for: Organizations modernizing incrementally while maintaining business-as-usual development
Augmented Modernization Specialists
Add individual cloud architects, migration specialists, or DevOps engineers to your internal modernization team.
Best for: Teams with modernization strategy defined needing specialized execution expertise
Ready to See What Platform Modernization Would Cost?
Pricing depends on platform complexity, migration strategy, and business continuity requirements. View our transparent pricing models or get a custom modernization quote after a consultation.
Industries We Serve with Platform Modernization
From FinTech platforms modernizing monolithic core banking systems to healthcare organizations migrating on-premise EHR platforms to cloud, our platform modernization services deliver transformation tailored to industry-specific regulatory requirements and operational constraints.
Fintech
Banking & Financial Services
Logistics & Supply Chain
Technology & SaaS
Telecommunications
Insurance
Retail & Ecommerce
Healthcare & Telemedecine
Platform Modernization Success Stories
Platform Modernization Services FAQs
Should we modernize or rebuild from scratch?
It depends on your platform's condition and business constraints. Modernize when: Your core business logic is sound but architecture is outdated, you can't afford extended downtime for complete rebuild, or you need to maintain institutional knowledge embedded in existing systems. Rebuild when: Technical debt is so severe that refactoring costs more than rebuilding, fundamental business model changes require different architecture, or compliance/security issues can't be resolved in current codebase. We assess your situation objectively and recommend the approach delivering best ROI for your specific context.
How long does platform modernization typically take?
Timeline varies by platform complexity and chosen strategy. Small platforms (single application, limited integrations) modernize in 6-9 months. Mid-sized platforms (multiple applications, moderate complexity) take 12-18 months. Large enterprise platforms (complex ecosystems, mainframe migration, data center exit) require 18-36+ months. Using incremental strangler fig pattern, you see value continuously rather than waiting for complete transformation. First modernized services typically deploy within 2-3 months, with phased rollout continuing based on your prioritization.
Can we modernize without disrupting operations?
Yes. Our strangler fig approach specifically avoids big-bang migrations requiring extended downtime. We build modern services alongside legacy systems, gradually shift traffic as services stabilize, maintain full rollback capability at each phase, and coordinate changes during low-traffic windows when necessary. Most clients maintain normal operations throughout modernization with zero unplanned downtime. Mission-critical systems get extra safeguards including blue-green deployments, canary releases, and extensive monitoring.
What happens to our data during migration?
Data migration strategies depend on your continuity requirements. Zero-downtime approach: Implement data synchronization keeping legacy and modern databases in sync during transition, validate data consistency continuously, gradually shift read/write operations to modern database. Maintenance window approach: Schedule migration during planned downtime, execute tested migration scripts, validate data integrity, resume operations on modern platform. We test migration procedures extensively in staging environments before production execution and maintain backup/rollback capabilities at every phase.
Do our teams need cloud or microservices expertise?
Not initially. Our modernization teams bring required expertise in cloud architecture, microservices design, containerization, and modern DevOps practices. We train your engineers progressively through hands-on collaboration, documentation, and knowledge transfer sessions, building internal capability alongside platform transformation. By modernization completion, your team has working knowledge of modern architecture and tools gained through practical experience rather than classroom training. This ensures long-term maintainability without external dependency.
How do you prioritize what to modernize first?
We use a value-driven prioritization framework considering: Business value (revenue impact, customer experience improvement, competitive advantage), Technical risk (stability issues, security vulnerabilities, compliance gaps), Migration complexity (low-risk changes first to build confidence and prove approach), Team capacity (realistic assessment of what can be executed well), and Strategic dependencies (foundational services enabling future modernization). This framework typically results in modernizing customer-facing features with performance issues first (high value, visible improvement) while leaving stable internal systems for later phases.
What if modernization uncovers unexpected technical debt?
Comprehensive discovery phases minimize surprises, but unexpected complexity sometimes emerges during execution. When this happens: We document new findings, assess impact on timeline and budget, present options (absorb into current phase, defer to future phase, or adjust scope), and recommend approach balancing risk with business priorities. Our incremental methodology allows adaptation, if a component proves more complex than expected, we can adjust the roadmap while continuing work on other areas. SEOP dashboards surface issues early when they're manageable, not late when they're crises.
Can you modernize platforms we didn't build?
Absolutely. Most modernization clients have platforms built by previous vendors, acquired through M&A, or developed by long-departed teams. We specialize in understanding undocumented legacy systems through code analysis, system observation, and knowledge extraction from current team members. Our AI-powered code analysis accelerates understanding of unfamiliar codebases. Within 2-4 weeks of assessment, we typically understand platform architecture well enough to begin modernization even with minimal documentation.
How do you measure modernization success?
We establish baseline metrics before modernization and track improvements continuously through SEOP dashboards: Performance (response time, throughput, error rates), Cost (infrastructure spend, operational overhead), Velocity (deployment frequency, lead time for changes), Quality (defect rates, incident frequency, MTTR), Scalability (capacity under load, auto-scaling effectiveness), and Developer experience (build time, developer satisfaction surveys). Quarterly reviews compare current state against baselines and target outcomes, demonstrating ROI with objective metrics rather than subjective assessments.
What happens after modernization is complete?
Post-modernization, we help establish sustainable practices: Documentation of modern architecture, API contracts, deployment procedures, troubleshooting guides. Team training ensuring internal engineers can maintain and extend modernized platform. DevOps maturity with automated deployments, monitoring, and incident response. Architecture governance preventing technical debt reaccumulation. Knowledge transfer through hands-on collaboration throughout modernization. Many clients transition to ongoing maintenance engagements or retain architects part-time for strategic guidance as platform continues evolving.
.png)