An outdated monolithic e-commerce platform suffered from frequent downtime, slow checkout during sales, rigid scaling, and slow feature releases — leading to lost revenue and frustrated customers.
Crashes during peak traffic caused revenue loss
Long processing times led to cart abandonment
Entire system needed scaling, inefficient & costly
Broke monolith into independent services (catalog, cart, checkout, orders, payments) using Domain-Driven Design for clear boundaries.
Implemented Kubernetes orchestration, auto-scaling, circuit breakers, and retry patterns for fault tolerance and zero-downtime deploys.
Streamlined checkout flow, added distributed caching (Redis), CDN for assets, and asynchronous processing to slash latency.
A fast-growing online retailer with seasonal high-traffic spikes — hampered by legacy monolithic architecture that limited innovation, scalability, and reliability in a competitive e-commerce landscape.
Analyzed monolith to identify service boundaries and pain points
Extracted services one-by-one while keeping monolith operational
Added API gateway, service mesh, monitoring, and event-driven communication
Simulated peak traffic, tuned performance, and iterated for reliability
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