Apache Kafka offers powerful capabilities for real-time data processing. When combined with Kubernetes it can fulfill your dreams of having real time data pipelines at cloud scale with elasticity, except that when the data volume grows, any Kafka's stability and availability issues can turn this dream into an operational nightmare.

In this webinar, you'll learn how you can run Kafka at scale—simply and easily—to store and process massive amounts of information for data-rich apps on Kubernetes. We'll cover key considerations around persistence, data protection, security, data mobility, and capacity management so you can unlock the full capabilities of Kafka for real-time use cases like IoT and AI/ML data streaming, distributed message queuing, website activity tracking, and more. We will go over how to overcome the operational issues with the high data volume which is an experience that would help Kafka himself sleep soundly at night.