How Priceline uses Kafka Streams technology to effectively save TBs on daily licenses of our monitoring systems. Kafka Streams powers a big part of our analytics and monitoring pipelines and delivers operational metrics transformations in real time. All logs and operational metrics from all of the APIs of Priceline’s products flow into Kafka and is ingested into our Monitoring System Splunk for Alerting and Monitoring. We have now implemented data transformations, aggregations and summarizations using Kafka Streams technologies to effectively eliminate PCI/PII violations on the log data; do aggregations on metrics to avoid ingesting sub-second metrics and ingest metrics only at the granularity that we need to. We will cover the need for custom Serdes, custom partitioners, and why we don’t use the confluent registry. You will also learn how Priceline uses a self service model to configure its streams, topics and consumers using Data Collection Console, which is our UI for managing the Kafka streaming pipelines.