Enterprise Windows Workload Cloud Modernization
Led comprehensive re-platforming of legacy Windows applications to containerized cloud-native architecture. Migrated on-premises workloads to Kubernetes with managed database services, dramatically improving scalability, reliability, and operational efficiency.
60% faster deployments • 99.9% uptime achieved • 40% operational cost reduction
The Challenge
Legacy Windows applications running on aging on-premises infrastructure were creating technical debt, high operational costs, and deployment bottlenecks. Monthly patching windows required extensive downtime, and scaling was limited by physical hardware constraints.
The Solution
Orchestrated a complete modernization strategy: containerized Windows services using Docker, deployed to managed Kubernetes clusters, and migrated databases to cloud-native managed services. Established GitOps workflows and Infrastructure-as-Code for consistent, repeatable deployments.
Architecture
Modernized architecture using containers with a managed database backend
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Implementation Process
Conducted comprehensive dependency analysis and containerization feasibility assessment for legacy applications
Architected containerization strategy with Windows containers and multi-stage Docker builds for optimized images
Designed and provisioned Kubernetes platform infrastructure using Infrastructure-as-Code with automated scaling policies
Implemented GitOps CI/CD pipelines with automated testing, security scanning, and blue-green deployment strategies
Results & Impact
Achieved 60% faster deployment cycles through automated CI/CD and elimination of manual processes
Improved application availability to 99.9% uptime through Kubernetes self-healing and horizontal scaling
Reduced operational costs by 40% via cloud-native managed services and infrastructure optimization
Eliminated monthly maintenance windows through rolling updates and zero-downtime deployment capabilities