Platform engineering takes center stage as AI agents reshape the cloud-native stack. Recorded at KubeCon in Salt Lake City on November 10, this Techstrong Gang discussion connects observability, Kubernetes operations and the future of software delivery. The conversation begins with lessons from the Futurum Summit before turning to the practical role of agents inside enterprise platforms.
Observability and the cloud-native AI stack
Sean O'Dell of Dynatrace and Rickey Zachary of Thoughtworks join the opening panel. They revisit the summit's discussions of observability, platform engineering and the relationship between cloud-native infrastructure and AI. Rather than treating these as separate markets, the panel considers how the pieces increasingly work together.
The discussion also examines the progress of OpenTelemetry and the importance of shared telemetry. As systems grow more complex, teams need useful context to understand what applications and infrastructure are doing. That visibility becomes especially important when software agents participate in operational decisions. The panel explores this connection without assuming that adding AI automatically solves an existing operations problem.
AI agents meet Kubernetes operations
The second panel brings Luca Galante of platformengineering.org into the conversation and turns toward AI-assisted operations. The speakers consider how agents might change the work of managing Kubernetes environments. They also discuss the relationship between automation, operational knowledge and the interfaces teams use every day.
That shift raises a broader question about the platform's future. If agents can handle more of the underlying work, what should developers still need to understand? The conversation weighs the value of Kubernetes against the complexity that teams often encounter. It considers a future with more automation while keeping the responsibilities of the people operating these systems in view.
Platform engineering beyond the developer portal
The panel then considers how internal developer platforms could evolve as AI changes software delivery. Galante brings the perspective of the platform engineering community to a discussion of developer experience, reusable workflows and increasingly automated software factories.
Instead of focusing only on a portal or a collection of tools, the speakers examine the larger delivery process. Platform teams must connect infrastructure, operational context and the needs of developers. AI agents may change how teams interact with that process, but the discussion keeps the underlying engineering work central.
Watch the full on-location conversation for the panel's views on observability, AI-assisted Kubernetes management and the next phase of enterprise software delivery.