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Guy Fighel (General Manager of AIOps & GVP of Product Engineering, New Relic)
Pass Type: All Access, Conference - Get your pass now!
Event Type: Session
Vault Recording: TBD
Audience Level: Intermediate
DevOps, SRE, and on-call teams rely on a multitude of sensors and tools to detect and respond to incidents. This ever-growing list of tools can pose problems: incident, event, and telemetry data is fragmented, siloed, or redundant, making it harder to find the information needed to diagnose and resolve incidents. These can lead to pager fatigue, cause distractions, and increase the probability that a critical signal will go unnoticed.
AIOps promises to solve these problems with a centralized, intelligent feed of incident information that displays everything you need to prioritize, troubleshoot and respond to problems, all behind a single pane of glass. Unlocking this value, though, historically has required a significant time commitment and workflow shift, potentially costing teams hundreds of hours in integration, configuration, training, and on-boarding tasks. In this session you'll learn how to apply ML and AI through the DevOps cycles to achieve a noise-free production environment.