In this webinar and demo, get tips on how to:

Break down the key costs of running Kafka
Improve infrastructure utilization, lower networking costs, and avoid downtime while ensuring high availability
Free up valuable engineering time for innovation
Eliminate the operational burden of capacity management and avoid the costs of over-provisioning with autoscaling Kafka resources

Looking for simple ways to reduce your Kafka costs up to 60% and boost development velocity?

Unfortunately, properly assessing the cost of running Kafka can be a difficult task.

At Confluent, we've worked with thousands of customers to help them understand and right-size their Kafka-related spend to support all of their data streaming workloads — and we want to share the valuable insights into key cost drivers and optimization levers for Kafka that we've gained from helping these customers with you.

Julie PriceSenior Product Manager, Confluent

Julie is a senior product manager at Confluent, where she is focused on Kora scalability and elasticity. She has spent many years in the data space as a product manager and data engineer, helping customers across many industries from gaming to high tech to retail, architect and implement innovative data applications using technologies like Google BigQuery, Dataflow, SingleStore, and SAP HANA.

Robin OngSenior Product Marketing Manager, Confluent

Robin is a senior product marketing manager at Confluent, where she is responsible for product pricing, packaging, go-to-market strategy, and analytics. Prior to Confluent, she worked at VMware where she focused on pricing and packaging and go-to-market initiatives for its infrastructure, storage, and disaster recovery offerings.