Operations | Monitoring | ITSM | DevOps | Cloud

How do you get developers to instrument their code? You stop asking! Instead, pitch the value of observability by building them dashboards and implementing the no-code change solutions first, demonstrating the value of instrumentation.

Over 30% of your production logs might be useless DEBUG logs! This "bad telemetry" is expensive noise. The KubeCon talk I attended introduced a project called the Instrumentation Score which helps you find and fix bad telemetry.

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While observability practices have evolved in recent years, they have largely focused on application services and infrastructure. Yet it is data what powers our applications, businesses, and AI models. When data issues occur, the consequences can be far reaching, from poor product experiences to billing errors to misinformed AI outcomes. In this session, Jonathan Morin, Group Product Manager at Datadog, shares real-world examples of incidents and explains how data observability can address them, helping teams detect issues earlier, reduce costly downtime, and restore trust in their data.

In this video, our team shares how we work together to move fast, stay aligned, and build impact- across engineering, product, design, marketing, and beyond. You’ll hear honest perspectives on: Whether you're part of Sysdig or just curious how high-performing teams operate, this behind-the-scenes look highlights the mindset and culture that power everything we do.

People worry about AI taking jobs, but what about the new roles AI is creating? James Faure, CEO of Clairo AI, breaks down the three essential non-technical jobs that have emerged in the last two years: Prompt Engineers, Context Architects, and Evaluators. Learn the crucial skills needed to be highly employable in the future of AI.