For years, the potential of AI in operations has been a hot topic, often promising more than it delivers. As Kubernetes environments grow increasingly complex, the limitations of traditional monitoring and troubleshooting tools become glaringly apparent. But with the rise of GenAI, a new question emerges: Is AI finally ready to transform the way we manage and optimize Kubernetes Operations?

GenAI-driven tools are becoming good at detecting anomalies early, recommending optimizations, and minimizing downtime. That’s why every player in the ecosystem is rushing to incorporate those capabilities into their product. Many are mere marketing gimmicks, while some are genuinely delivering value and transforming K8s operation

Join us for a forward-thinking panel discussion led by Komodor's Co-Founder and CTO, Itiel Shwartz, Open Source Dev Lead, Andrei Pokhilko, and K8s Advocate, Udi Hofesh, as they discuss:

✅ Insights and lessons learned from the field on where AI is delivering value in Kubernetes and where it still falls short.
✅ The challenges of AI hallucinations and premature conclusions, and how to mitigate these issues.
✅ The K8s knowledge gap between SREs and app developers and how GenAI helps to bridge it.
✅ The challenges of presenting complex data to AI, focusing on its dynamic nature and how it affects GenAI context and its reasoning quality
✅ Komodor's experience in overcoming the above challenges, while building KlaudiaAI, our GenAI-powered troubleshooting agent.