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Online Talk

Understanding (and Optimizing) Your Kafka Costs

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Tuesday, June 18, 2024

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

Times are tight for technology teams everywhere. Companies are looking to optimize costs and increase efficiencies wherever they can, and your Apache Kafka®-related spend is likely no exception. Unfortunately, properly assessing the cost of running Kafka can be a difficult task.

After all, there is no line item on your bill that says "Kafka" — it's hidden in your servers and networking costs, along with valuable engineering resources and time. 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. This experience, along with managing our own costs across operating tens of thousands of Kafka clusters in Confluent Cloud, has provided us with a deep understanding of the key cost drivers and optimization levers for Kafka.

In this webinar, you'll learn how you can:

  • Break down the key costs of running Kafka
  • Improve infrastructure utilization, lower networking costs, and avoid costly downtime while ensuring high availability
  • Free up valuable engineering time for innovation vs. maintaining infrastructure
  • Effortlessly scale up and down based on workload with auto-scaling Kafka resources, eliminating the operational burden of capacity management and the need to overprovision (and overpay) for resources

Register today to see how these optimizations can save you up to 60% on your Kafka costs. We look forward to seeing you there!

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.

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.

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