Feb 9
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Across the Tech Pond is a transatlantic conversation shaped by what we see, hear, and question on the conference floors where enterprise technology decisions are taking shape. In this episode, we reflect on Dynatrace Perform in Las Vegas, one of the industry’s most closely watched gatherings for observability, AI, and security leaders, and unpack what it reveals about where modern IT operations are heading next. Recorded shortly after the event, the discussion brings together perspectives from the US and Europe to explore how observability has moved well beyond traditional monitoring. Our guest, Bob Wambach, Vice President of Portfolio and Strategy at Dynatrace, offers a grounded view of how causal AI, real-time context, and automated root cause analysis are shaping a new operational baseline for large, complex environments. Rather than focusing on abstract promise, the conversation stays rooted in how global organizations are already using these capabilities to reduce friction, respond faster, and connect technical signals directly to business outcomes. A central theme of the episode is trust in AI at scale. As enterprises experiment with agent-based systems and increasingly autonomous workflows, visibility into what those systems are doing, why they are acting, and what impact they create becomes non-negotiable. We examine how observability supports that confidence, particularly as AI introduces non-deterministic behavior that traditional tools were never designed to explain. The discussion also touches on why ecosystem partnerships with hyperscalers and platforms like ServiceNow are becoming more important as customers push for fewer handoffs and clearer accountability. The episode closes by looking ahead. As AI adoption accelerates and operational complexity continues to grow, the ability to understand systems in context, prioritize what matters, and act with clarity will separate progress from noise. Whether you attended Dynatrace Perform or followed the announcements from afar, this conversation offers a clear-eyed look at what observability means in an AI-driven world, and why getting it right now will shape how organizations operate in the years ahead.