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Online Talk

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

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Available On-demand

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 ist Senior Product Manager bei Confluent, wo sie für die Skalierbarkeit und Elastizität von Kora zuständig ist. Als Product Manager und Data Engineer hat sie langjährige Erfahrung mit Kunden aus zahlreichen Branchen gesammelt – von Gaming über Hightech bis hin zum Einzelhandel – und sie dabei unterstützt, innovative Datenanwendungen mit Technologien wie Google BigQuery, Dataflow, SingleStore und SAP HANA zu entwickeln und zu implementieren.

Robin ist Senior Product Marketing Manager bei Confluent, wo sie für das Pricing, die Vermarktung, die Go-to-Market-Strategie und Analysen verantwortlich ist. Bevor sie zu Confluent kam, arbeitete sie bei VMware, wo sie für das Pricing und die Markteinführung von Infrastruktur-, Speicher- und Disaster-Recovery-Angeboten zuständig war.

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