A Customer’s Perspective: How Confluent Helped ETC Efficiently Scale Data Streaming to Meet Surging Demand

Wednesday, October 26, 2022

10 AM PDT | 1 PM EDT | 10 AM BST | 10:30 AM IST | 1 PM SGT | 3 PM AEST

Facing a rapidly increasing volume of data flowing in from the various sensors and devices associated with its customers’ ever-expanding toll and smart mobility projects, ETC incorporated Kafka to address the need for scale. But as demand continued to explode, and as Kafka took on a critical infrastructure role, ETC needed to continue to scale horizontally without breaking the bank or exhausting internal resources.

Hear from ETC's Josh LittleSun, Director of Technology, on how his team charted a path to Confluent Cloud to significantly reduce the amount of time spent on managing Kafka, while reducing downtime risk and increasing agility. He explains how the introduction of Confluent enabled ETC to:

• reallocate ~50% of in-house FTE resources that had been previously dedicated to supporting open source Kafka to more strategic projects
• reach 20% infrastructure cost savings per new customer onboarded
• significantly reduce downtime risk, where every minute of downtime can cost tens of thousands of dollars in lost revenue

Watch now to hear the reasons why ETC switched to Confluent.