Transform the Performance of your Hyperscale Distributed Systems

Presented by

Heidi Carson, Pepperdata Product Manager

About this talk

Whether it is lack of visibility into application needs and resource utilization; spending too much on cloud bills, or hundreds of developers calling you to fix a problem, you need to maximize the productivity of your modern big data initiative with a scalable performance optimization solution for data science and AI/ML pipelines. Automatically improve resource usage in real-time unlike passive observability solutions that rely on recommendations and manual tuning and do not scale. Learn about an automated, scalable solution that helps customers optimize big data performance and meet the demands of their analytics and big data stakeholders. Learn how to: - Identify opportunities to increase efficiency - Identify opportunities to go from reactive to proactive - Understand correlation resources being consumed and workloads - Avoid issues and remediate issues quickly. - Balance performance goals versus resource availability
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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 solutions 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.