[Webinar + Demo] BMW Group’s Omnichannel Transformation Using Data Streaming | Join!
Apache Kafka is the cool kid on the block when it comes to distributed streaming platforms. It's gained popularity in cloud environments due to its scalability, fault tolerance, and real-time data processing capabilities. As more organizations move their data processing and analysis workflows to the cloud, Kafka has become an essential part of their architecture.
But, let's face it, running Kafka in the cloud can be a bit of a headache. It requires careful planning and execution to ensure optimal performance, reliability, and cost-effectiveness. In this talk, we're going to introduce you to a little something called ""showbacks"". Showbacks are a way of giving users feedback on the resources they're consuming and the associated costs. It's like telling your friends to keep their hands out of the cookie jar before they eat all the cookies. It also works with developers and partitions.
We'll even give you some real-world examples of how New Relic has successfully implemented showbacks to achieve cost savings and operational efficiency in our Kafka deployments like auto-scaling, Availability Zone awareness, or client tunning. We promise to keep it fun, technical, and full of practical insights and actionable recommendations to help you achieve optimal Kafka performance and cost-effectiveness in the cloud.