How unified observability and AI help IT teams cut through tool sprawl, alert noise, and blind spots, and fix issues before the business notices.
Modern IT has outgrown the tools meant to watch it. Most enterprises run around ten separate monitoring tools, which slows incident resolution by nearly 58% and often means users spot problems before the tools do. This session shows a better way: bringing metrics, logs, and traces onto one platform, with AI doing the correlation. You'll see how teams cut alert noise, lower MTTR by up to 45%, move from firefighting to prevention, and what comes next as agentic AI starts running more of operations.
Why traditional monitoring struggles in cloud-native environments
How metrics, logs, and traces work together for a full 360° view
How AI cuts alert noise by 30-40% and MTTR by up to 45%
What a true single-pane platform looks like across logs, APM, RUM, and SLOs
Where observability is headed with agentic, self-healing operations
Date
16th June 2026
Duration
1 Hour
Attendees
IT Ops, SRE & Platform Teams
Level
Intermediate – Advanced
Webinar Agenda
A comprehensive breakdown of topics covered in this session.
A quick look at what we'll cover and who's presenting.
What tool sprawl, data silos, and alert fatigue actually cost your teams.
Why observability tells you why something broke, not just that it did.
How AI cuts noise, catches anomalies early, and points to root cause faster.
A walkthrough of logs, APM, RUM, and SLOs working on a single console.
Where agentic AI and autonomous operations are taking IT, then your questions answered live.