Transform the Performance of your Hyperscale Distributed Systems

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 engineering, AI/ML pipelines, and analytics workloads. 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 big data engineers optimize performance and meet the demands of their analytics and stakeholders. In this 15-minute talk, you will find out how to: - Identify opportunities to increase efficiency - Identify opportunities to go from reactive to proactive - Understand the correlation between resources being consumed and workloads - Avoid issues and remediate issues quickly. - Balance performance goals versus resource availability