Observability becomes the linchpin of AI development

An observability company CEO discusses the shifting requirements – and growing role -- for such tools in AI development. From Shahar Azulay's point of view, observability has evolved from a post-production downtime prevention system to "the source of truth for everything from code creation to shipping and testing code, remediation and production."

Featuring: Shahar Azulay, co-founder and CEO, Groundcover

In today’s episode, we’ll cover…

• Coping with a further influx of observability data from AI agents
• Observability for cost management
• Data collection for AI agent workflows using eBPF
• Groundcover's AI observability roadmap

And more!

References:

• Cisco Galileo buy reflects blurring lines in AI observability
• KubeCon EU 2026: AI tightens the dev-prod loop
• Why real-time data is key for enterprise AI

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