Enterprise AWS Cloud Operations for Multi-Store E-Commerce Platform

This retail giant is a cornerstone of the global fashion industry. With a massive physical footprint and a digital presence serving over 20 million users, the client focuses on delivering trend-setting apparel through a seamless blend of in-store expertise and online convenience.

Operating a large-scale, multi-environment e-commerce platform presented severe operational and infrastructure friction.

• Deployment & Change Control Bottlenecks: Relied on manual deployment processes across development, staging, and production environments without unified version control.
• Availability & Peak Traffic Scaling Risks: Faced potential database query timeouts and compute bottlenecks during high-volume retail sales events.
• Manual Recovery & Incident Handling: Lacked self-healing capabilities, depending on manual intervention for service failures and incident response.
• Security & Compliance Management: Struggled with consistent vulnerability scanning and structured patch management across container images, databases, and runtimes.
• Cost Governance: Expended excessive budget on non-production resources during off-hours with unoptimized cloud resource right-sizing.

We implemented a modern microservices architecture running across two AWS Availability Zones, supported by 17 versioned operational runbooks.

• Infrastructure as Code (IaC) & Change Controls: Standardized all AWS resources in Terraform using dedicated Git branches for development, staging, and production, enforcing Slack-based manual approval gates for production execution.
• Containerized Workloads & Load Balancing: Deployed application microservices on Amazon ECS powered by AWS Fargate and Amazon EC2, managed via Application Load Balancers (ALB).
• Automated CI/CD & Vulnerability Scanning: Built automated deployment pipelines using AWS CodePipeline and CodeDeploy, incorporating mandatory Amazon ECR container vulnerability scanning.
• Data Persistence, Caching & Search Offloading: Deployed Amazon RDS and Amazon Aurora Serverless with Multi-AZ failover, caching via Amazon ElastiCache (Redis), and offloaded search queries to Amazon OpenSearch Service.
• Direct Connect Asset Migration: Migrated 100+ TB of static media files to Amazon S3 over an AWS Direct Connect link without site downtime.
• Auto-Healing & Automated Cost Governance: Integrated CloudWatch alarms and Security Hub with AWS Lambda for Slack alerting and Backlog ticket creation, while using Amazon EventBridge to automate non-production stop/start schedules.

• Compute & Containers: AWS Fargate, Amazon ECS, Amazon EC2, Application Load Balancers.
• CI/CD & DevOps: AWS CodePipeline, AWS CodeDeploy, Amazon ECR, Terraform.
• Data & Storage: Amazon Aurora Serverless, Amazon RDS, Amazon OpenSearch Service, Amazon ElastiCache for Redis, Amazon S3, AWS Direct Connect.
• Monitoring & Operations: Amazon CloudWatch, AWS Security Hub, AWS Lambda, Amazon EventBridge, Amazon SNS, AWS Graviton processors.

• Deployment Lead Time Cut by 95%: Reduced release time from 4 hours to 10 minutes per deployment.
• 30% Cloud Cost Reduction: Secured $24694 per year in recurring AWS savings through Graviton adoption, S3 lifecycle policies, resource right-sizing ($2057.80/month), and automated EvenBridge stop/start schedule ($612/month).
• Eliminated Query Timeouts: Offloaded complex search operations to OpenSearch Service, ensuring high responsiveness during peak traffic spikes.
• Zero-Downtime Data Migration: Successfully transferred over 100 TB of image assets to Amazon S3 over AWS Direct Connect.
• Standardized Incident Response: Established 17 versioned runbooks with automated Slack notifications and formal escalation pathways to the DevOps lead.