[Webinar] From Monitoring to Autonomous Operations: Observability in the Age of AI
[Webinar] From Monitoring to Autonomous Operations: Observability in the Age of AI
As software systems grow more distributed and AI-driven, knowing what is happening inside them has shifted from a nice-to-have to a necessity. This one-hour IEEE Region 8 Action for Industry (AfI) panel discussion brings together experiences from leading industry professionals and academic researchers to explore how observability has evolved and where it is heading.
We start by unpacking what observability really means beyond traces, logs, and metrics, and how it differs from traditional monitoring. Through live demos, we follow Dynatrace’s journey from application performance monitoring to AIOps and autonomous operations, and show how LLMs are making observability agentic. We then turn the lens around to monitoring AI applications themselves, which are “just” applications with less predictable outputs. The session closes with the regulatory landscape for AI and what organisations need to comply with.
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This webinar is part of Region 8 Action for Industry series.
- Co-sponsored by IEEE Region 8 Action for Industry (AfI)
Speakers
Adha Hustro of System Verification
From Monitoring to Autonomous Operations: Observability in the Age of AI
Biography:
Adha Hrusto is an AI Solutions Engineer with a PhD in Computer Science, specialising in applied ML and GenAI. She works closely with clients to design and deliver AI solutions across the software development lifecycle. Her doctoral research on anomaly detection in DevOps was part of WASP, Sweden’s largest research program. Adha turns cutting-edge research into real-world applications and shares her results through publications and talks at international conferences.
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Nauman Bin Ali of Blekinge Institute of Technology
From Monitoring to Autonomous Operations: Observability in the Age of AI
Biography:
Nauman bin Ali is a Professor of Software Engineering at BTH, Sweden, researching software testing, analytics and trustworthy AI for software engineering. He leads industry–academia projects with partners including Ericsson and Axis Communications, and represents BTH in the International Software Engineering Research Network (ISERN). In addition,Nauman has many years of industry experience as a software engineer and technical lead.
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Magnus Bergman of Dynatrace
From Monitoring to Autonomous Operations: Observability in the Age of AI
Biography:
Magnus Bergman is a Lead Solutions Engineer at Dynatrace with more than 25 years of experience in IT and a background in pre-sales since 2008. His main area of expertise is Kubernetes and cloud-native observability. He regularly speaks at local technology events as well as major conferences such as AWS Summit and KubeCon.
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Anas Dakkak of AFI and IEEE CS Sweden Chapter
From Monitoring to Autonomous Operations: Observability in the Age of AI
Biography:
Anas has more than 20 years of professional experience in the ICT sector. Anas holds a Ph.D. degree in software engineering. In addition, Anas is a senior IEEE member and servers as action for industry ambassador and Chairman for the computer society chapter in IEEE Sweden section.
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Agenda
Introduction to Observability, more than traces, logs and metrics.
Difference between “monitoring” and "observability"
Observability has gone beyond “nice to have”
Introduction to Dynatrace
started from APM -> Observability -> AiOps -> Autonomous Operations
Observability is going Agentic
Leverage LLM as part of the observability solution
Monitoring AI applications
It’s “just” and application, with different output
AI and compliance
What regulation do we have to comply with?
(a) An open discussion about why observability matters, including the need for observability in an all-connected world and a brief reflection on the difference between monitoring and observability. (10 min)
(b) Challenges of observing AI applications. (10 min)
(c) Demo of Dynatrace capabilities (two items in green). (20-25 min).
(d) Reflection on regulations and the evolving regulatory landscape (5 -10 min) (optional if we get time).
(e) Questions and answers.