Observability + Platform Engineering: The Market Guide

Observability is no longer a developer concern; it's a platform infrastructure problem. Join two of the authors of the Market Guide for Observability Trends in Platform Engineering as they unpack what's changing: the shift to platform-owned instrumentation, cost as a first-class signal, and why agentic AI is forcing platform teams to rethink the entire observability stack.

The way organizations approach observability is changing fast, and platform teams are at the centre of it.
Join Luca and Dilek as they share what they found during the research powered by Weave Intelligence. Why the traditional developer-owned observability model is breaking down, how platform teams are taking ownership of instrumentation as core infrastructure, and what the convergence of FinOps and observability means for how platforms are designed and measured.
They'll also cover the two forces reshaping the market right now: the rise of agentic AI (which is moving from passive dashboard consumer to autonomous operator) and OpenTelemetry standardization as the foundation for AI readiness.
If you're leading a platform team and trying to understand where observability is headed and what to prioritize, this is the session for you.

Speaker: Luca Galante
Managing Director & Senior Analyst, Weave Intelligence
Luca Galante is an analyst and community leader in platform engineering. As managing director at Weave Intelligence, the leading analyst firm in the field, he benchmarks how the discipline is practiced across hundreds of enterprise organizations. He is the co-author of Thinking in Platforms, hosts PlatformCon, the largest annual platform engineering conference, and writes Platform Weekly, read by more than 100,000 platform engineers every Friday. He has chronicled the discipline as much as he has shaped the community around it.

Speaker: Dilek Altin
Dilek Altin is an analyst at Weave Intelligence with a deep technical background in platform architecture and engineering. His research sits at the intersection of artificial intelligence (AI) and platforms, covering two distinct but related challenges: building agentic development platforms that make platforms themselves AI-enabled and support agentic coding workflows, and designing platforms purpose-built for artificial intelligence and machine learning (AI/ML) workloads. Alongside this, he covers platform security, examining how teams build and govern platforms that can withstand the threat landscape of modern software delivery.