Cloud Migration & Optimization Case Study

The challenge

The client's e-commerce platform was running on on-premise infrastructure that couldn't keep pace with the business. As traffic grew and became less predictable, the gaps in the existing setup started showing in four ways:

⚠️ Unpredictable traffic, fixed capacity. The platform had no way to anticipate traffic fluctuations, so infrastructure couldn't scale ahead of demand - leaving the business exposed every time traffic spiked.

⚠️ Service interruptions during peak periods. Scalability constraints in the existing architecture caused service interruptions and degraded performance precisely when traffic - and customer expectations - were highest.

⚠️ High cost of running on-premise. Managing on-premise systems carried excessive operational overhead - hardware, capacity planning, and maintenance costs that scaled poorly against actual usage.

⚠️ No secure, cost-effective path to scale. The business needed infrastructure that was secure and scalable by design, and cost-effective enough to support growth without a proportional rise in operating expense.

Platform architecture

AWS Cloud Platform - Layer Stack

🤖 AI-Based Monitoring & Predictive Analytics AI / ML

📈 AWS EC2 + Auto Scaling - Compute Layer Scalable

⚡ AWS Lambda - Event-Driven Processing Real-time

🗄️ AWS S3 - Storage Optimization Optimized

🔐 AWS KMS - Encryption & Data Security Security

🏗️ Microservices Architecture - Resource Distribution Modular

Our solution

OKRUTI paired a full migration to AWS with AI-driven monitoring - so the platform doesn't just run in the cloud, it scales ahead of demand instead of reacting to it.

→ AI-Based Monitoring & Predictive Analytics: Deployed monitoring that forecasts resource needs from traffic patterns, giving the platform advance signal on demand instead of finding out from a slowdown.

→ AWS EC2 & Auto Scaling: Moved compute onto EC2 with auto-scaling policies that adjust capacity dynamically as traffic rises and falls, replacing fixed on-premise capacity with elastic infrastructure.

→ AWS S3 & Lambda: Optimized storage on S3 and moved real-time, event-driven operations onto Lambda - cutting the operational overhead of managing that infrastructure directly.

→ AWS KMS: Applied encryption and key-management protocols across the platform, closing the security and compliance gaps the on-premise setup couldn't guarantee.

→ Microservices Architecture: Restructured the platform into a modular, scalable design so resources are distributed efficiently instead of contending for a single monolithic footprint.

Results achieved

30%

Infrastructure cost reduction - moving off on-premise hardware onto elastic AWS capacity

99.9%

System uptime - auto-scaling and predictive monitoring absorbing peak traffic

Faster

Load times - improved page performance across the platform post-migration

Secure

Enhanced security and transaction compliance with AWS KMS encryption

We are thankful to OKRUTI for the seamless cloud migration. It was cost-effective and resulted in significantly better system performance overall.

- Client, E-Commerce Platform

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Cloud Migration & Optimization
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