Case Studies
Real results from enterprise migrations. We have delivered cloud-native transformations for Fortune 500 companies, federal agencies, and high-growth startups.
Trusted by teams at
Apple
Capital One
Centene
AppDynamics
Federal Agency: Legacy Systems to Cloud-Native on Kubernetes
A major federal agency was running critical veteran-facing services on aging monolithic infrastructure with 99.2% uptime and multi-hour deployment windows. We decomposed the platform into containerized microservices running on Kubernetes with strict FedRAMP compliance, implemented blue-green deployments, and built an automated security scanning pipeline. The migration was completed in phases over 16 weeks with zero service interruptions to end users.
Major Bank: Monolith Decomposition for Real-Time Transaction Processing
One of the largest US banks needed to modernize its transaction processing platform to support real-time fraud detection and sub-100ms API response times. The existing Java monolith handled millions of daily transactions but could not scale individual components independently. We redesigned the platform into domain-bounded microservices on AWS EKS with Istio service mesh for mTLS, implemented database-per-service with event sourcing via Kafka, and established a SOC 2-compliant CI/CD pipeline. Transaction latency dropped from 340ms to 89ms p99.
Healthcare Enterprise: HIPAA-Compliant Platform Migration
A Fortune 500 healthcare company serving millions of members needed to migrate its claims processing and member services platforms to a cloud-native architecture while maintaining strict HIPAA and SOC 2 compliance. We migrated to Azure AKS with network policies, encrypted secrets management via HashiCorp Vault, and automated compliance reporting. The new architecture handles 3x the concurrent users at half the infrastructure cost, and HIPAA audit preparation dropped from 3 weeks to 2 days.
Enterprise SaaS: Observability Platform Scaling
A leading application performance monitoring company needed to scale its data ingestion pipeline from 500K to 5M metrics per second while reducing infrastructure costs. We redesigned their collector architecture using Kubernetes autoscaling on GKE, implemented custom HPA metrics based on queue depth, and built a multi-region active-active deployment. The platform now handles 10x the original throughput with 40% fewer nodes through intelligent bin-packing and spot instance utilization.
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