Operational disruptions don’t come unannounced. There are always early warning signs—if only you have the right observability solution to catch them before they snowball into costly outages.

In this episode of the AI in Action podcast, Vikram Murali, VP of Software Development for IBM Automation, explains how continuous observability has taken the baton from traditional monitoring, giving a new meaning to operational resilience.

Observability has transformed reactive measures into proactive steps, leading to more seamless operations and fewer costly disruptions. Catch the full discussion to learn how you can run your business smoothly by tapping into the combined power of observability, automation and remediation.

0:00 Intro

03:35 How do AI solutions affect observability?

07:35 How much visibility does observability provide?

12:26 The difference between good and bad observability tools

20:21 Choosing the right data for the observability tool

23:42 Balancing power and control in agentic frameworks

26:33 Getting started with observability

The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.

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