Presentations

Faster Big Data: Solving the Real Time Hadoop Challenge

Faster Big Data: Solving the Real Time Hadoop Challenge

With billions of visits and over 20 million engagements made via the LivePerson platform every month, the company needed a scalable backend capable of streaming, processing, and storing big data in real time. After internal benchmarking and testing, the platform engineering team chose to integrate Apache Kafka, Apache Hadoop, Apache Storm, and Couchbase Server to enable Faster Big Data.

Creating a Real Time Large Scale Analytics Platform with Couchbase

Creating a Real Time Large Scale Analytics Platform with Couchbase

The LivePerson platform enables over 8,500 global businesses to intelligently engage with more than 450 million users a month. In order to get to this scale, LivePerson needed a fast, high throughput infrastructure that would enable them to build a real time analytics and provide insights for their customers.