How to Efficiently Manage Disparate Kafka Clusters

Apache Kafka is widely used in modern data stacks due to its ability to process real-time messages and large volumes of data daily. Originally developed by LinkedIn engineers, Kafka has matured over the years and now powers many enterprises like Uber, Walmart, Twitter, and Tencent. However, most companies still own a variety of small Kafka clusters managed using different tools and best practices, leading to higher management overhead, lack of economies of scale, data blind spots, and hindered innovation. Acceldata provides a turnkey solution that grants enterprises ongoing visibility into Kafka and their data pipelines, helping prevent potential problems and enabling cost optimization.