AWS EKS Migration & AI-Ready Microservices Modernization
Healthcare Technology Organization
Overview
Unified a production-grade AWS workload running across Lambda, EC2, and ECS into a single Amazon EKS cluster — modernizing the architecture into independently deployable microservices with AI/ML-ready infrastructure, dynamic auto-scaling, and zero-downtime deployments.
Client Profile
The Challenge
Mixed compute services (Lambda, EC2, ECS) making scaling and cost optimization challenging
Long-term maintainability concerns with fragmented architecture
Need to support future AI/ML workloads requiring specialized compute resources
Model serving infrastructure requirements for AI/ML pipelines
Solution Architecture
Cluster Architecture: Managed EKS Control Plane (AWS-managed) with Multi-AZ Node Groups — Base Group (On-Demand) for critical system components and Dynamic Group (Karpenter) for auto-provisioning. ARM (Graviton) instances for ~40% cost savings; Spot instances for non-prod.
Migration & Containerization: Converted Lambda functions into RESTful API-based microservices. Refactored EC2/ECS apps into independent microservices. Standardized Dockerfiles for all services. AI/ML-ready infrastructure with KEDA for event-driven scaling.
CI/CD Pipeline: GitHub Actions > CodeBuild > Docker images > ECR > Helm Upgrade > Argo Rollouts with Canary Analysis.
Architecture Diagram — AWS EKS Migration & Microservices Modernization
Features & Capabilities
Unified Orchestration Platform
All workloads under single Amazon EKS cluster
Microservices Modernization
Monolithic/serverless functions converted to independent containerized services
Dynamic Auto-Scaling
KEDA for event-driven scaling (HTTP, RabbitMQ, SQS)
Cost-Optimized Compute
On-Demand (ARM/x86) + Spot; Karpenter dynamic provisioning
Zero-Downtime Deployments
Argo Rollouts with Blue-Green and automated canary analysis
AI/ML-Ready Infrastructure
Foundation for model serving, training pipelines, and inference workloads
Security Hardening
GuardDuty for runtime threat detection; Pod Disruption Budgets for availability
Standardized Service Templates
Helm charts enforcing consistency
Technology Stack
Security & Compliance
IRSA (pods assume IAM roles); Least-Privilege RBAC per service
GuardDuty Integration; Pod Security Standards
VPC Segmentation; Private Clusters
HIPAA, SOC 2, ISO 27001
Results & Impact
Workload Unification
All Lambda, EC2, ECS consolidated under EKS
Auto-Scaling
Independent scaling per microservice using KEDA
Resilience
Zero-downtime deployments with PDBs and graceful shutdowns
Cost Efficiency
Hybrid Spot + On-Demand + Graviton delivering significant savings
AI/ML Readiness
Foundation for model serving, training, and inference workloads
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