Insure-Tech Company Case Study

We implemented Amazon EKS as the primary orchestration layer for Insure-Tech Company's core platform services, managing over 70% of the organization's containerized workloads in the ap-south-1 region. These workloads included healthcare data processing microservices, backend API services, and authentication workflows integrated with Amazon Cognito, forming the backbone of secure user interactions, data pipelines, and inter-service communication. EKS integrated seamlessly with Amazon S3 for file storage, ElastiCache for low-latency session caching and data acceleration, and AWS Lambda for event-driven notifications, asynchronous tasks, and lightweight serverless operations. We configured the EKS data plane using Managed Node Groups with EC2 instances to support persistent, compute-intensive workloads requiring predictable throughput, deploying all worker nodes across multi-AZ private subnets ensuring high availability, fault tolerance, and compliance with security best practices.

We managed critical workloads including backend microservices for healthcare transaction workflows, internal API gateways routing secure traffic inside the VPC, Cognito-integrated authentication services, batch processing tasks coordinated with Lambda, and caching layers backed by ElastiCache to enhance data retrieval performance. Deployments across namespaces like prod-backend, prod-auth, prod-cache, and prod-data-processing maintained multiple replicas for high availability with Horizontal Pod Autoscaler scaling based on CloudWatch Container Insights metrics. Traffic entered through CloudFront to Application Load Balancer to EKS services secured with ACM TLS certificates.

Insure-Tech Company's AWS environment was onboarded under our AWS Organization with a dedicated management account where Service Control Policies (SCPs) enforced mandatory resource tagging. In Insure-Tech Company's member account, all EKS node group EC2 instances were tagged consistently with defined tagging standards to ensure cost governance via Cost Explorer, compliance visibility, and automated lifecycle operations. Tags applied automatically using CloudFormation via AWS::EKS::Nodegroup TagSpecifications, with SCPs enforcing required tag keys and denying EC2 launches if any key was missing or empty.

• Environment tags set as "Production" or "Staging" supported environment-specific lifecycle rules like automatic termination of dev nodes after 30 days.
• Project tags enabled consolidated cost grouping in Cost Explorer for the healthcare platform.
• Owner tags with team emails ensured accountability for audits, escalations, and incident response.
• CostCenter tags met SCP requirements for billing alignment and business unit reporting.
• Additional tags for workload type (Backend-API), compliance standard (HIPAA-Compliant), and auto-scaling group linkage.

We validated EKS node tagging via the AWS CLI, reaching 100% compliance validated quarterly using AWS Config rule ec2-instance-tagging-required, GuardDuty for detecting policy violations, Security Hub for compliance posture aggregation, and CloudWatch Logs for audit retention. All resources were protected by KMS encryption keys, IAM least-privilege policies, and Cognito authentication flows, with GuardDuty continuously monitoring VPC Flow Logs and CloudTrail events.

Captured from a production EKS cluster after confirming all workloads available, replicas healthy, and autoscaling policies active. Key deployments included cert-manager components, kube-system CoreDNS, the API gateway and backend-processor deployments in prod-backend, the Cognito integration deployment in prod-auth, the ElastiCache connector deployment in prod-cache, the Lambda trigger deployment in prod-data-processing, and the frontend service deployment — all reporting healthy ready status across namespaces.

All deployments ran with multiple replicas for high availability, with backend processors scaling up to 10 replicas during peak traffic via HPA using CloudWatch Container Insights. Pods used consistent production-tier labeling and version identifiers, running in private subnets using IAM Roles for Service Accounts for secure AWS access to S3, KMS, and ElastiCache. No deployment failures were detected, with continuous monitoring via CloudWatch, GuardDuty, and Security Hub across multi-AZ node groups provisioned via CloudFormation.

We implemented comprehensive Infrastructure as Code using AWS CloudFormation as the central automation engine for all infrastructure modifications within Insure-Tech Company's EKS ecosystem. Every update — from provisioning the EKS control plane to configuring VPC networking, EC2 managed node groups, security groups, IAM roles, Route 53 DNS, ACM certificates, KMS encryption, and ECR repositories — executed fully automated and version-controlled without manual console interaction, eliminating configuration drift. The deployment pipeline began with code commits triggering CloudFormation template validation, linting, security scans, and dry-run simulations monitored via CloudWatch metrics for EKS API health and EC2 node availability.

CloudFormation stacks are configured with automatic rollback on failure, instantly reverting to the last stable configuration. The CI/CD pipeline included manual approval gates for high-impact changes and automated rollback triggers based on CloudWatch alarms tied to EKS metrics and Lambda tests. Application-level rollbacks reverted Kubernetes Deployments to previous ReplicaSets, initiated automatically when health probes failed, ensuring recovery within 10 minutes across the full service stack.

The compute layer utilized Amazon EC2 managed node groups orchestrated by Amazon EKS across multi-AZ VPC private subnets. Storage integrated Amazon S3 with KMS encryption for healthcare data files accessed securely via IAM Roles for Service Accounts. Caching deployed ElastiCache with Route 53 private hosted zones for low-latency session management. Serverless processing was handled by AWS Lambda triggered via CloudWatch Events for notifications and data workflows. Networking was secured by Amazon VPC with security groups, CloudFront distributions caching frontend assets, and Route 53 health checks enabling failover routing.

Authentication was implemented via Amazon Cognito integrated with EKS workloads using IAM Roles for Service Accounts, eliminating static credentials. Security was maintained through AWS Key Management Service for data encryption, GuardDuty analyzing VPC Flow Logs and CloudTrail, and Security Hub aggregating compliance findings. Container management ran through EC2 Container Registry with vulnerability scanning feeding Security Hub. Certificates were managed by AWS Certificate Manager securing CloudFront-to-ALB-to-EKS traffic flows. Observability was powered by CloudWatch metrics, logs, and Container Insights, with IAM policies controlling access across all layers provisioned via CloudFormation templates.

• Consolidated and modernized operational workloads with improved platform reliability via multi-AZ node groups and automated scaling.
• Enforced strict tagging and compliance controls through SCP, Config, and IAM Roles for Service Accounts.
• Maintained HIPAA-aligned security with KMS encryption, private VPC networking, GuardDuty threat detection, and Security Hub compliance monitoring.
• Reduced operational overhead with CloudFormation automation, CloudWatch alerting, and Lambda workflows.
• Delivered healthcare platform scalability, security, and cost efficiency across the entire AWS stack.