CLOUD APPLICATION & ENGINEERING

Cloud Modernization for AI-Ready Enterprise Systems

Application Refactoring | Legacy Code Extraction | Infrastructure-as-Code (IaC)
CLOUD APPLICATION & ENGINEERING

Cloud Modernization for AI-Ready Enterprise Systems

Application Refactoring | Legacy Code Extraction | Infrastructure-as-Code (IaC)

Evolving Core Enterprise Systems into Composable, AI-Ready Architectures

Most enterprise systems were built for stability within known boundaries. That design has held-until now. Growth today depends on how quickly systems can adapt to new channels, partners, and increasingly, machine-driven decisioning. Legacy environments struggle not because they are obsolete, but because they are difficult to evolve. Addressing this requires extracting and restructuring core system logic without disrupting operations. We help enterprises extract, preserve, and transform decades of legacy logic into cloud-native, AI-ready systems making it safe to evolve without disruption.

WHERE TO START

Five questions that define your modernization ROI

Targeted Investment
Where is change effort concentrated-and which legacy constraints are limiting AI adoption, cloud integration, or product velocity?

Strategic Sequencing
What should be modernized now to unlock capability-and what must remain stable to protect continuity?
Risk and Exposure
Which systems introduce security, compliance, or architectural risk-and where does undocumented logic create vulnerability?
Economic Thresholds
When does maintenance cost exceed modernization value-and how can transition occur incrementally without disruption?
AI & Ecosystem Readiness
Can core business logic be safely exposed to APIs, partners, and AI systems without impacting systems of record?
OUR APPROACH

How KRE works with you to achieve these

Methodology-led discovery 
We map application dependencies, data flows, and operational patterns before design begins, surfacing hidden coupling and undocumented logic early.

Staged logic decomposition
Workloads are treated individually based on their specific characteristics-whether rehosted, replatformed, or selectively rebuilt.

API & Event Encapsulation
Legacy systems-of-record are wrapped in secure API layers and real-time change data capture events interfacing with modern cloud workloads instantly.
Automated governance
Compliance guardrails, automated testing, and FinOps budgeting controls are embedded directly into active CI/CD pipelines for predictable software evolution.
WHAT WE DELIVER

KRE Cloud Modernization Services

How do you change a system without changing what it fundamentally does?

Your legacy applications still deliver value; accumulated complexity and specialist dependency are what constrain them. We apply a proprietary reverse engineering methodology to extract, document, and convert legacy code into cloud-native architectures.

What We Deliver

  • Programmatic Dependency Mapping: Automated code-parsing to map application interactions and surface hidden business rules.
  • Strangler-Fig Migration Frameworks: Phased architectures where modern microservices incrementally replace legacy routines.
  • Interface Replacement: Upgrading outdated protocols (FTP, EDI, MQ) to secure REST/gRPC endpoints or event queues.
  • Data Definition Language: Converting obsolete database schemas into cloud-native relational or NoSQL topologies.
  • Automated Functional Verification: End-to-end testing across thousands of simulated transactions to certify data consistency.

Business Outcomes You Achieve

  • 30-40% Faster Modernization Lifecycles: Automated transformation templates eliminate manual code-writing bottlenecks.
  • 5-10x Improvement in Software Velocity: Shifting to modular microservices can compress feature and AI deployment cycles from months to days
  • Up to 40% Reduction in Code Maintenance Spend: Retiring legacy software syntax and technical debt drastically lowers support overheads.

How do we move our most critical workloads to cloud without exposing the business to migration risk?

Moving core systems requires strict, execution-stage gating. We deliver large-scale cloud migrations using a 9-stage migration methodology, combining automated data movement engines with multi-zone cloud architectures to guarantee zero business disruption.

What We Deliver

  • TCO Modeling: Board-ready per-application evaluations comparing legacy costs to public cloud consumption profiles.
  • Continuous Replication (CDC): Real-time streaming (AWS DMS, Azure Data Factory) to keep targets synchronized up to the second of cutover.
  • Multi-Zone High-Availability: Resilient landing zones across AWS, GCP, or Azure with automated failover and isolated VPCs.
  • Pre-Migration Compliance Guardrails: Hard-coded security baselines (MFA, encryption) for uninterrupted compliance (FINRA, HIPAA, SOC 2).
  • Hyperscaler Funding Optimization: Structuring pathways to maximize financial credits (AWS MAP, Google PSF, Azure MMP).

Business Outcomes You Achieve

  • 50% Quicker Migration Timelines: Repeatable infrastructure templates and automated wave-scheduling tools eliminate manual setup delays.
  • Up to 30–40% Baseline Infrastructure Savings: Shifting to elastic cloud structures avoids over-provisioning and idle hardware waste.
  • 99.99% Cutover Integrity: Real-time bi-directional validation minimizes data risk at the precise moment of live cutover.

How do we decommission aging infrastructure and move to cloud - without a single incident affecting the business?

Executing a complete data center exit requires running parallel asset migration workstreams. We manage the end-to-end decommissioning process – unifying physical inventory asset retirement, software vendor contract exit, and automated cloud FinOps optimization.

What We Deliver

  • Multi-Cloud Placement: Optimizing workload distribution across providers to prevent vendor lock-in and minimize costs.
  • Parallel Decommissioning: Systematic hardware shutdown, secure data wiping, and colocation lease termination.
  • Sovereign Hybrid/Edge Integration: Low-latency edge architectures for highly regulated local processing workloads.
  • Continuous FinOps Cost Control: Automated right-sizing scripts, cost anomaly alerts, and multi-year savings plans.

Business Outcomes You Achieve

  • Targeted 8-Month Complete Exit: Parallel engineering and wave-based automation work to accelerate typical multi-year schedules.
  • Immediate 30-40% Operational Cost Reduction: Replacing static on-premise data center facility overhead with optimized, elastic cloud compute pricing.
  • Auditable Sustainability Reporting: Transitioning heavy, unoptimized physical workloads to energy-efficient hyperscalers supports lower Power Usage Effectiveness (PUE) targets.

How do we modernize our infrastructure estate without locking into a single vendor or creating new technical debt?

We eliminate manual infrastructure clicking. We treat your entire computing network, identity layout, and access boundary as software code – standardizing multi-cloud estates using declarative Infrastructure-as-Code (IaC) blueprints.

What We Deliver

  • Terraform-Managed Landing Zones: Automated environment blueprints across multi-cloud footprints for unified IAM and network rules.
  • VMware to Cloud Native Migration: Moving virtualized workloads directly into native cloud hypervisors via automated replication tools.
  • Zero-Trust Network Modernization: Shifting from brittle networks to software-defined zero-trust boundaries via dedicated interconnects.
  • AI/ML High-Performance Clusters: Specialized compute environments with dedicated GPU clusters and orchestrated container engines.

Business Outcomes You Achieve

  • 100% Elimination of Environment Configuration Drift: Using identical, peer-reviewed scripts works to eliminate manual environment setup errors.
  • Day-One Continuous Compliance: Compliance-audit controls and access rules hard-coded into foundational landing zone blueprints.
  • Immediate Reduction in Idle Cloud Waste: Automated environment scaling parameters to ensure infrastructure scales down to zero when not actively running workloads.

How do we build the delivery discipline that makes every migration and AI deployment actually reach production?

Infrastructure is only as valuable as the deployment pipelines feeding it. We deploy platform engineering architectures and automated continuous integration/continuous delivery (CI/CD) pipelines to transform manual operations into an autonomous, self-healing system.

What We Deliver

  • Automated CI/CD Release Pipelines: Features automated unit testing, security gates (SAST/DAST), and programmatic rollbacks.
  • Internal Developer Platforms (IDP): Self-service portals for engineering teams to provision compliant test environments instantly.
  • SRE Guardrails: Metric-driven SLOs, error-budget tracking, chaos testing, and self-healing log remediation.
  • OpenTelemetry Full-Stack Observability: Unified logging, telemetry, and tracing (Datadog, Prometheus, Grafana) to isolate dependencies.

Business Outcomes You Achieve

  • 40-60% Reduction in Manual Engineering Effort: Automated orchestration to free development teams from routine pipeline maintenance tasks.
  • Accelerated MTTR: Correlated tracing networks compress anomaly location times from hours to fractions of a second.
  • Reduced Software Release Failures: Rigorous pipeline quality gates block unverified code and security vulnerabilities from reaching production.
REAL-WORLD CLIENT OUTCOMES

Case Studies

Travel & Hospitality Corporation

Apigee Migration & Data Center Decommission

Challenge

The company needed to migrate 200+ end-of-life production APIs to Apigee X without disrupting live guest bookings or travel scheduling workflows.

Approach

  • Mapped a 200+ live API inventory and dependency matrix to isolate runtime risks.
  • Implemented a progressive traffic-routing model to eliminate cold cutover risks.
  • Deployed a multi-cloud architecture utilizing GCP for API management and AWS for backend workloads.
  • Authored a comprehensive decommissioning roadmap to secure multi-year program funding.

Outcomes

  • Migrated 100% production APIs into fully supported cloud environments.
  • Achieved zero booking interruptions or transaction disruptions across core scheduling engines.
  • Won formal board authorization for multi-year decommissioning program running through 2025.
  • Created an active multi-cloud foundation to improve redundancy and reduce vendor lock-in.

Global Fintech Leader

Mainframe to GCP Data Fabric Migration

Challenge

As part of a $300MM+ modernization initiative, the firm needed to migrate legacy mainframe revenue systems powering $3B+ in annual volume while maintaining sub-second latency and global regulatory compliance.

Approach

  • Deployed a cloud-native platform using GCP Composer, Dataflow, Spanner, BigQuery, Firestore, and Pub/Sub.
  • Executed a phased rollout covering data fabric co-development, M&A migrations, mainframe decommissioning, and LATAM expansion.
  • Implemented mirror validation and automated ingestion frameworks to ensure strict data parity.
  • Embedded dedicated engineering teams to deliver 50+ projects over a 7-year horizon.

Outcomes

  • Delivered $60MM+ in cloud services over 4+ years of continuous platform engineering.
  • Achieved sub-second B2B API response times, bypassing legacy mainframe performance limits.
  • Realized zero customer incidents and operational anomalies across all major production launches.
  • Completed core mainframe decommission simultaneously launching 30+ member portal features.

Major Us Energy Corporation

AI-Ready Industrial IoT Platform on GCP

Challenge

The company’s legacy on-premises infrastructure lacked the scale and GPU power required to process massive, real-time operational technology (OT) sensor streams.

Approach

  • Built high-performance, GPU-accelerated GCP landing zones tailored for heavy machine learning inference.
  • Deployed Google Vertex AI to ingest and process real-time streaming machinery data.
  • Engineered a secure OT integration layer to bridge physical field assets with cloud networks via secure gateways.
  • Structured the transformation roadmap to successfully capture enterprise funding program criteria.

Outcomes

  • Achieved a 30% reduction in equipment downtime via automated predictive anomaly alerts.
  • Secured $10MM+ in Google Professional Services Funding (PSF) to fully offset migration expenses.
  • Operationalized real-time analytics, giving teams asset failure warnings 20–30 minutes before field incidents.
  • Delivered a secure cloud baseline environment optimized to scale all future enterprise AI/ML programs.

Global Fintech Leader

AS400 to GCP Migration & M&A Integration

Challenge

The enterprise was looking migrate 4 critical legacy AS400 credit applications with an undocumented RPG/COBOL codebase to GCP under a compressed M&A and regulatory timeline.

Approach

  • Reverse-engineered system dependencies via a structured matrix, sequence diagrams, and Java conversion.
  • Built a modern GCP target stack utilizing Dataproc, BigQuery, and AlloyDB.
  • Established a 24/7 continuous engineering cycle leveraging coordinated teams across Brazil, India, and the US

Outcomes

  • Migrated all 4 mission-critical applications with zero downtime or business disruption.
  • Achieved 100% data quality certification, yielding a 99.99% field-level match against the active AS400 base.
  • Hit high-stakes, regulatory-driven milestones on schedule despite late-stage scope increases.
  • Program established as the operational blueprint for all future LATAM cloud migrations.

Frequently Asked Questions

Most integrators approach legacy modernization as a rewrite project. We approach it as a knowledge extraction and risk elimination exercise first – using our proprietary Dependency Matrix and Sequence Diagram methodology to document what the legacy system actually does before any code is converted. This is what enables zero-incident go-lives on systems with decades of undocumented business logic.
Timelines vary significantly by estate size, complexity, and migration strategy. Our IP accelerators compress timelines by an estimated up to 50% versus manual approaches. A focused application modernization engagement can deliver in weeks; a large-scale mainframe decommission programme spans years. Every engagement begins with a Discovery phase that produces an accurate, workload-specific timeline estimate.
 Compliance architecture is established before the first workload moves – not retrofitted at the end. Our IAM and Security stage covers identity provider setup, encryption, network segmentation, SIEM integration, and audit trail configuration as prerequisites to migration. We have delivered for organizations operating under FINRA, HIPAA, SOC 2, GDPR, and data residency requirements.
Yes. We are platform-agnostic and cross-trained across GCP, AWS, Azure, and VMware. We design for your workload and your existing investments – not the platform with the best partnership incentive. Our teams work within existing CI/CD, IaC, and observability tooling or recommend replacements where the business case supports it.
Every engagement begins with a free assessment – Discovery for migration programmes, Application Assessment for modernization, Architecture Assessment for infrastructure. This produces the dependency map, workload inventory, and strategy recommendation that defines the programme before any commitment is made.