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Kafka Monitoring Capabilities for Mission-Critical Streaming Apps

Large enterprises are now using Kafka to process trillions of messages every single day. However, Kafka is a black box. It doesn’t offer the visibility you consistently need. Pepperdata Streaming Spotlight - https://www.pepperdata.com/product/st... #pepperdatastreamingspotlight #kafkamonitoringcapabilities #monitorapplicationperfromance Brokers hang. Consumers can’t read. Without deep observability, making Kafka run at optimal efficiency is impossible. Streaming Spotlight from Pepperdata provides the observability required to run Kafka most effectively. The dashboard provides at-a-glance health information for all of your streaming data, in terms of brokers and topics. When users can properly monitor their Kafka operations, they can automatically detect and correct atypical Kafka behavior. IT operators can see which brokers are falling behind and take action to maintain SLAs for real-time stream processing applications. Application developers and data analysts can spot the bottlenecks and failures that degrade performance. The visibility of Streaming Spotlight allows you to make adjustments in real-time, to prevent data loss and forecast the Kafka data streaming capacity needed to protect throughput performance. You can monitor brokers and topics and quickly resolve any issues by correlating host metrics. Kafka administrators can track the right metrics and then integrate those metrics as part of their overall big data analytics stack. Integrate Kafka monitoring metrics into your analytics stack performance platform today, and get the visibility you need to run your streaming applications as efficiently as possible. Learn why Enterprise clients use Pepperdata products and Services - https://www.pepperdata.com/ Check our complete Blog Series: https://www.pepperdata.com/blog/ ///////////////////////////////////////////////////////////////////////////////////////// Connect with us: Visit Pepperdata Website: https://www.pepperdata.com/ Follow Pepperdata on LinkedIn:   / pepperdata   Follow Pepperdata on Twitter:   / pepperdata   Like Pepperdata on Facebook:   / pepperdata