Kafka In the Cloud: Why It’s 10x Better With Confluent | Get free eBook

From Legacy SQL Server to High Powered Confluent & Kafka Monitoring System at SunPower

In renewable energy, like many other businesses, customers have come to expect real time data feeding their applications, products, and services. And internally, businesses need real time data to facilitate how we monitor our products proactively, reduce customer support costs, and provide customers with features they didn’t previously have access to. But traditional, legacy databases can’t handle the real-time requirements nor scale up to handle increasing amounts of data, and cloud monoliths and tightly-coupled systems prevent building the desired features. At SunPower, we set out to improve our cloud-based platform using Confluent and Kafka to increase the velocity of product development and unlock new features for our customers. In this session, we will share our journey to build a real-time monitoring platform based on Confluent and Kafka and how we’ve been able to improve customer satisfaction ratings and boost referral-based sales as a result.


Patrick Franz

Patrick Franz is an engineering leader tackling climate change using software and data. As Senior Director at SunPower, he is responsible for building software that helps consumers and businesses engage with their energy usage including the mySunPower™ application, SunPower’s energy data platform and energy analytics tools. Patrick started his career building software and hardware for scientists including roles at Genability and Picarro.