Case Studies

Real-world AWS transformation stories with technical depth. See how we've helped enterprises migrate, modernize, and innovate on AWS.

Financial Services Migration

Banking & Financial Services: 500+ Workloads Migrated to AWS

$2.8B AUM fintech platform migrated from on-premises to AWS in 8 months using MAP program.

Challenge

  • • Aging data center with $12M annual operating cost
  • • 500+ Windows/Linux servers across 3 facilities
  • • Strict PCI DSS and SOX compliance requirements
  • • Zero tolerance for downtime (24/7 trading platform)
  • • Complex Oracle RAC databases (15TB+)

Solution

  • • AWS MAP program — $3.5M in credits secured
  • • Control Tower with 12 OUs and 45 accounts
  • • MGN for 400+ server rehost (zero-downtime cutover)
  • • DMS with CDC for Oracle → Aurora PostgreSQL
  • • GuardDuty + Security Hub for compliance

Architecture:

Multi-AZ deployment → ALB + EC2 Auto Scaling → Aurora Global DB (primary: us-east-1, replica: eu-west-1) → ElastiCache Redis Cluster → S3 (data lake) → Redshift (analytics) → CloudFront (portal) → WAF + Shield Advanced (protection)
40%
Cost Reduction
99.99%
Uptime Achieved
8mo
Migration Duration
0
Downtime Minutes
Healthcare Modernization

Healthcare Industry: Monolith to Microservices on EKS

HIPAA-compliant patient portal re-architected from .NET monolith to cloud-native microservices.

Challenge

  • • 2M+ active patients on legacy .NET 4.5 monolith
  • • 2-week deployment cycles with 30% failure rate
  • • Cannot scale for telehealth surge (300% growth)
  • • HIPAA compliance requiring PHI encryption end-to-end
  • • 15 development teams blocked by shared codebase

Solution

  • • Strangler Fig pattern — incremental decomposition
  • • EKS with Fargate for PHI-compliant workloads
  • • 28 microservices with App Mesh for observability
  • • CodePipeline with blue/green EKS deployments
  • • Aurora PostgreSQL + DynamoDB for polyglot persistence

Architecture:

CloudFront → ALB → EKS (28 microservices, Fargate) → App Mesh (mTLS) → Aurora PostgreSQL (patient data) + DynamoDB (sessions) + S3 (medical images) → KMS encryption → CloudWatch + X-Ray → Security Hub + GuardDuty
95%
Faster Deploys
10x
Scale Capacity
60%
Infra Cost Down
100%
HIPAA Compliant
Retail Generative AI

Retail & E-Commerce: GenAI Customer Experience with Bedrock

RAG-powered intelligent shopping assistant handling 1M+ daily customer interactions across 12 languages.

Challenge

  • • 50M+ SKUs across 3,000 stores + e-commerce
  • • Customer support overwhelmed (2M calls/month)
  • • Product search returning irrelevant results
  • • No personalized shopping recommendations
  • • 12 languages required for global operations

Solution

  • • Amazon Bedrock with Claude 3.5 Sonnet
  • • RAG with OpenSearch Serverless (50M product vectors)
  • • Bedrock Agents for order tracking, returns, support
  • • Bedrock Guardrails for brand-safe responses
  • • Real-time personalization with Personalize + Kinesis

GenAI Architecture:

User Query → API Gateway → Lambda → Bedrock Agent (Claude 3.5) → [Knowledge Base (OpenSearch vectors) + Action Groups (order API, inventory API)] → Guardrails (PII filter, brand safety) → Response → CloudWatch metrics → A/B testing with Evidently
1M+
Daily Interactions
85%
Auto Resolution
3x
CSAT Improvement
$15M
Annual Savings
SaaS DevOps & Managed

SaaS Industry: DevOps Transformation & Managed Operations

Series B startup scaled from 10K to 500K users with zero-ops infrastructure and automated deployments.

Challenge

  • • Rapid growth: 10K → 500K users in 12 months
  • • Manual deployments taking 4+ hours
  • • No monitoring — outages discovered by customers
  • • 3 engineers spending 60% time on ops
  • • AWS bill growing 20% month-over-month

Solution

  • • CDK infrastructure (100% IaC in TypeScript)
  • • CodePipeline with canary deployments to ECS Fargate
  • • CloudWatch + X-Ray + custom dashboards
  • • 24/7 managed services with automated remediation
  • • Cost optimization: Savings Plans + right-sizing
50x
User Growth
5min
Deploy Time
35%
Cost Reduced
99.95%
Uptime SLA Met

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