Do You Have the Visibility You Need for Kafka Data Streaming?

Presented by

Kirk Lewis - Field Engineer

About this talk

Learn how to create a durable, low latency message system by getting improved clarity into your Kafka data streaming pipeline. In this webinar, learn how to: - forecast Kafka data streaming capacity needs to protect throughput performance - correlate infrastructure and application metrics across Kafka, Spark, Hive, Impala, HBase, and more - automatically detect and alert on atypical Kafka scenarios to prevent data loss - ensure preservation of SLAs for real-time stream processing applications Kirk Lewis will cover the challenges around monitoring Kafka data streaming analytics and how Pepperdata can help. Pepperdata enables customers to integrate Kafka metrics into a big data analytics dashboard and get detailed visibility into Kafka cluster metrics, broker health, topics, partitions, and the rate of data coming in and going out.

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Pepperdata is the Big Data performance company. Fortune 1000 enterprises depend on Pepperdata to manage and optimize the performance of Hadoop and Spark applications and infrastructure. Developers and IT Operations use Pepperdata soluions to diagnose and solve performance problems in production, increase infrastructure efficiencies, and maintain critical SLAs. Pepperdata automatically correlates performance issues between applications and operations, accelerates time to production, and increases infrastructure ROI. Pepperdata works with customer Big Data systems on-premises and in the cloud.