Case Study: Upland Localytics achieves faster time-to-market and scalable, decoupled microservices with Amazon Web Services

Localytics - Customer Case Study

Localytics is a web and mobile app analytics and engagement company used by major brands like ESPN, eBay, and the New York Times; its software runs in over 37,000 apps on more than 3 billion devices. The company needed to ingest billions of data points daily while giving engineering teams access to subsets of that data to build new services—an approach that created heavy capacity planning, utilization monitoring, and infrastructure-management overhead and prompted a desire for self-service access.

Localytics built an AWS pipeline that routes roughly 100 billion data points monthly through ELB, SQS, EC2, and into Amazon Kinesis, and teams now create independent microservices using AWS Lambda that consume the Kinesis stream in parallel. The result: product engineering is decoupled from the main analytics pipeline, teams avoid provisioning infrastructure, Lambda automatically scales to process tens of billions of points monthly, and new customer services reach market faster.

Upland Localytics

Mohit Dilawari

Director of Engineering