Sponsored by Unravel Data
January 17, 2018
1 PM ET
AIOps has the promise to create hyper-efficiency within DevOps teams as they struggle with the diversity, complexity, and rate of change across the entire stack.
DevOps teams working with big data face unique challenges due to the complexity and diversity of the components that comprise the big data stack. At the same time, AIOps is maturing to the point of creating true efficiencies among these DevOps teams as they struggle against the diversity, complexity, dynamic behavior and rate of change across the entire stack.
Join us for this informative webinar, where we’ll explore:
- The issues DevOps/DataOps teams face working with and managing the big data stack.
- The benefits of visibility across the entire stack in finding and remediating issues.
- Ways analytics and automation can help improve performance, quality and efficiencies for DevOps teams.
- How Unravel Data applies full stack visibility, analytics and AI-powered automation to help DevOps teams address these challenges.
Bala Venkatrao is part of the founding team and VP, Products at Unravel Data. Bala’s prior experience includes working in product management/strategy roles at Elastic and Cloudera. Bala was an early employee at Cloudera where he was involved in a wide array of activities including product management, marketing, partnership development and customer advocacy. He holds a MBA from MIT Sloan School of Management.