AIOps is closely connected to Observability. So, real-time data such as metrics, events, logs, and traces (MELT) are equally relevant to AIOps as well. If Observability tools help with instrumentation, data capture and storage, AIOps tools help with alert noise reduction, faster troubleshooting, and issue remediation. In this episode, Dinesh Chandrasekhar, Chief Analyst and Founder, Stratola, and Fred Koopmans, CPO, BigPanda, discuss the topic of AIOps, the relevance of data freshness of MELT, and the future of IT monitoring with AI.
This engaging conversation starts from the origins and relevance of AIOps tooling but quickly navigates to the why, who and how of AIOps. Data freshness is discussed in detail as real-time data is extremely pertinent in detecting problems and averting downtime. Do not miss Fred's insightful responses about the future of this space and where he sees innovations are bound to happen.
Негізгі бет AIOps and the Future of IT Monitoring
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