Case Study > Enhancing IT Infrastructure and Web Performance for an E-commerce Platform
Technology & Software
Enhancing IT Infrastructure and Web Performance for an E-commerce Platform
Focus Areas
IT Infrastructure Modernization
Web Performance Optimization
Cloud Migration
Business Problem
A rapidly growing e-commerce platform was facing frequent outages, slow page load times, and poor scalability during high-traffic events like flash sales and holiday promotions. Their legacy monolithic infrastructure lacked elasticity, leading to degraded user experience, cart abandonment, and lost revenue. The company’s leadership needed to modernize its IT infrastructure to deliver fast, reliable, and scalable web performance to support its global customer base.
Key challenges:
Infrastructure Bottlenecks: On-prem servers couldn’t handle peak load efficiently.
High Latency: Page load times exceeded 5 seconds in critical user journeys.
Downtime During Traffic Spikes: Black Friday traffic led to system crashes.
Limited DevOps Practices: Manual deployments caused delays and inconsistencies.
Poor Observability: Lack of real-time monitoring made incident response slow and reactive.
The Approach
Curate partnered with the company’s IT and engineering teams to design a scalable, cloud-native infrastructure. The goal was to enhance reliability, speed, and observability while enabling faster deployments and efficient traffic handling.
Key components of the solution:
Discovery and Requirements Gathering
Infrastructure Audit: Evaluated existing servers, network configurations, and bottlenecks.
Performance Monitoring: Benchmarked latency, load time, and error rates across web and mobile platforms.
Traffic Pattern Analysis: Assessed historical traffic trends to model scale requirements.
Stakeholder Interviews: Collaborated with DevOps, engineering, and customer support teams to align infrastructure goals.
Solution Design and Implementation
Cloud Migration & Architecture Modernization
Migrated backend services from on-prem to AWS using EC2, S3, RDS, and Auto Scaling Groups.
Decomposed the monolith into microservices and containerized workloads using Docker and Kubernetes (EKS).
Leveraged CloudFront CDN for global content delivery and lower latency.
Web Performance Optimization
Implemented lazy loading, image compression, and minification to reduce page size.
Deployed Next.js and edge caching to improve time-to-first-byte (TTFB) and render speed.
Introduced performance budgets and Lighthouse audits as part of CI/CD.
DevOps Automation & Reliability Engineering
Established CI/CD pipelines using GitHub Actions and ArgoCD.
Automated infrastructure provisioning with Terraform and AWS CloudFormation.
Introduced blue-green deployments and canary releases to reduce release risks.
Monitoring and Incident Management
Set up Prometheus, Grafana, and Datadog for observability across services.
Integrated PagerDuty and Slack alerts for real-time incident response.
Created dashboards and SLAs to track uptime, latency, and error budgets.
Business Outcomes
Faster and More Reliable Website
The average page load time was reduced by over 60%, resulting in better user experience and higher conversion rates.
Improved Scalability During Peak Traffic
The platform handled 5x more concurrent users during sales without downtime.
Agile, Automated Deployments
Deployment frequency increased, with rollback capability ensuring stability.
Sample KPIs
Here’s a quick summary of the kinds of KPI’s and goals teams were working towards**:
| Metric | Before | After | Improvement |
|---|---|---|---|
| Avg. Page Load Time | 5.2 sec | 1.9 sec | 63% faster |
| Uptime During Sales Events | 92% | 99.99% | 7.99% increase |
| Deployment Frequency | 1/week | 5 week | 5x increase |
| Rollback Time | 2 hrs | 5 mins | 96% reduction |
| Conversion Rate | 1.7% | 3.1% | 82% increase |
**Disclaimer: The set of KPI’s are for illustration only and do not reference any specific client data or actual results – they have been modified and anonymized to protect confidentiality and avoid disclosing client data.
Customer Value
Resilient Infrastructure
Cloud-native architecture scaled seamlessly under demand.
Efficient Engineering Operations
DevOps practices empowered teams to deliver faster with confidence.
Sample Skills of Resources
Cloud Architects: Designed scalable AWS architecture with performance and cost-efficiency in mind.
Site Reliability Engineers (SREs): Implemented observability and ensured performance SLAs.
DevOps Engineers: Built and maintained CI/CD pipelines, infrastructure as code, and automated testing.
Frontend Developers: Optimized web performance, improved responsiveness, and enhanced UX.
Performance Analysts: Monitored KPIs, interpreted user behavior data, and informed optimization.
Tools & Technologies
Cloud: AWS (EC2, S3, RDS, EKS, CloudFront)
Infrastructure as Code: Terraform, CloudFormation
CI/CD: GitHub Actions, ArgoCD
Containers & Orchestration: Docker, Kubernetes
Monitoring & Logging: Datadog, Prometheus, Grafana, ELK Stack
Web Performance: Lighthouse, WebPageTest, Next.js
Conclusion
Through strategic infrastructure modernization and performance optimization, Curate helped the e-commerce platform elevate its digital customer experience, achieve operational efficiency, and unlock revenue growth. The transformation positioned the platform for sustainable scalability and market competitiveness in a fast-paced retail environment.
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