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Online Talk

Top 4 Drivers of Kafka Costs (and How to Reduce Them)

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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

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

  1. Break down the key costs of running Kafka
  2. Improve infrastructure utilization, lower networking costs, and avoid downtime while ensuring high availability
  3. Free up valuable engineering time for innovation
  4. 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.

Register today to learn more on how you can save up to 60% on your Kafka costs!

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 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.

Ressources supplémentaires

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