eBay: Marketplace Engine Performance & Scalability
BairesDev collaborated with eBay to optimize the core marketplace engine, focusing on search throughput and transactional integrity for billions of listings.
The story
behind it
In the competitive landscape of global e-commerce, milliseconds directly correlate to revenue. eBay required an overhaul of their search indexing and transaction processing systems to handle historic peak volumes.
What stood in the way
Managing massive data throughput without compromising transactional ACID properties, particularly during high-traffic events like Black Friday and Cyber Monday.
How we made it happen
Our team developed a distributed indexing system using Kafka and ElasticSearch, alongside a modernized Node.js service layer that significantly reduced server-side processing time.
Impact that speaks
Revenue Increase
Attributed directly to the reduction in search abandonment due to faster page loads.
Infrastructure ROI
Optimized resource utilization allowed eBay to scale with fewer physical server nodes.
Peak Concurrent
Successfully managed record-breaking traffic during the holiday season with zero downtime.
A closer look
What we
delivered
Every feature was built with purpose, performance, and user experience at its core.
Tools & technologies
From concept to launch
Load Strategy
Simulating extreme peak traffic scenarios to identify critical failure points.
Indexing Overhaul
Transitioning search indexing from batch processing to a real-time Kafka stream.
Service Modernization
Rewriting legacy Java services into lightweight, containerized Node.js endpoints.
Global Sync
Deploying multi-region synchronization to reduce latency for international users.
Common questions
Let's build something remarkable together
We'd love to discuss how we can help bring your vision to life. Our team has extensive experience across AI, web, mobile, and cloud technologies.
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