KubeCon + CloudNativeCon North America 2026 is built around a problem the cloud native community can no longer treat as a future concern. AI is moving into production, and that shift is putting new pressure on the infrastructure underneath it. Teams need to schedule GPUs efficiently, serve models reliably, secure agent workloads, manage inference costs and build platforms that can handle systems far more dynamic than the applications Kubernetes was originally designed around.
Taking place from November 9 to 12, 2026 at the Salt Palace Convention Center in Salt Lake City, Utah, the event brings together more than 9,000 attendees from 2,100+ organizations for four days of technical sessions, keynotes, tutorials, community programming and technology discovery. The main conference runs from November 10 to 12, while November 9 is dedicated to co-located events and project-focused programming.
Where Cloud Native Conversations Get More Real
For years, Kubernetes and cloud native technology were largely about making distributed applications easier to deploy, scale and operate.
AI is changing the workload itself.
The 2026 KubeCon + CloudNativeCon program puts AI inference, agentic systems, platform engineering, observability, operations, security, application development, networking, data and storage into one conversation. The conference currently lists more than 400 sessions across its wider program, with dedicated tracks for AI Inference + Agentic, Platform Engineering, Security, Observability, Operations + Performance and more.
That changes the question.
It is no longer just how do we run cloud native applications well.
It is how do we build infrastructure that can support AI systems that are expensive, dynamic, unpredictable and increasingly autonomous.
That is a much harder engineering problem.
What to Expect at KubeCon + CloudNativeCon North America 2026?
A full day of co-located programming
November 9 begins with CNCF-hosted co-located events, including Cloud Native AI + Inference Day and Agentics Day, alongside other project and ecosystem-focused programs. The AI + Inference program looks at large language models, Graph RAGs, agentic systems and the move from development into production.
Three days of the main conference
November 10 to 12 bring the core KubeCon + CloudNativeCon program, with keynote sessions, breakouts and the Solutions Showcase running across the three main conference days.
More than 400 sessions across the ecosystem
The current program spans technical tracks covering AI, application development, platform engineering, networking, observability, data processing, operations, security and the broader cloud native experience. There are also Maintainer, Lightning Talk and Poster formats for more focused project and community discussions.
A strong emphasis on production AI
The event’s core positioning is increasingly tied to production infrastructure. Sessions cover GPU scheduling and utilization, model serving, inference routing, AI gateways, networking, storage, observability, security and agent infrastructure.
Community-driven learning and networking
KubeCon is designed around interaction with maintainers, contributors, end users and industry practitioners. The in-person experience includes project-focused programming, tutorials, community activities and opportunities to compare real implementation challenges with teams operating similar systems.
Key Themes Driving the 2026 Program
AI inference and agentic infrastructure
AI inference creates a very different infrastructure challenge from conventional workloads.
Large models need significant compute. Inference introduces new latency and utilization concerns. Agents add another layer because they can make dynamic decisions, invoke tools and interact with systems in ways that are harder to predict.
KubeCon’s AI Inference + Agentic track gets directly into those issues, including model serving, inference routing, GPU scheduling, agent infrastructure and the operational demands of running AI systems at scale.
The demo is no longer the hard part.
Production is.
Platform engineering as the control layer
As organizations adopt more infrastructure and AI workloads, developers need platforms that abstract complexity without hiding the controls operations teams still need.
That is why platform engineering is such a significant part of the 2026 program. Sessions look at internal developer platforms, resource management, Kubernetes access, automation and ways to create reusable pathways for teams building increasingly complex workloads.
The goal is not to remove engineering complexity
It is to put that complexity in the right place.
Also Read: Gartner IT Symposium/Xpo 2026 Barcelona: Where CIOs Turn AI Ambition into Enterprise Value
Security for autonomous workloads
Traditional security models assume systems, users and workloads behave within relatively predictable boundaries.
AI agents complicate that assumption.
The 2026 schedule includes sessions on AI agent identity, least-privilege access, sandboxing, zero-trust telemetry, securing MCP integrations and protecting LLM infrastructure. One session examines how agent identity and authorization need to evolve when autonomous systems can invoke tools and access internal resources.
That makes security part of the agent architecture itself.
Not something added after deployment.
Observability for AI systems
Traditional dashboards can tell you that something is wrong.
They do not always explain what happened inside an AI inference pipeline.
The Observability track explores how teams can connect infrastructure, hardware, model behavior and application traces to understand the performance of AI workloads. Sessions examine metrics such as token latency, throughput and GPU saturation alongside broader observability patterns.
That is becoming essential as AI moves from experimentation into systems people depend on.
Open source and shared infrastructure
Open source remains at the heart of KubeCon.
The 2026 program continues to emphasize the role of contributors, maintainers and end users in shaping the technologies the ecosystem depends on. One keynote on CVS Health’s CAP platform looks at how an internal platform evolved toward open source contribution, while another explores the ‘flywheel’ created when enterprise users feed real-world experience back into the community.
That creates a feedback loop that proprietary ecosystems struggle to reproduce.
The people using the infrastructure also help shape what comes next.
Featured Speakers and Industry Voices
KubeCon + CloudNativeCon North America 2026 brings together maintainers, engineers, infrastructure leaders and technology executives from across the cloud native ecosystem. Featured keynote speakers include:
- Michael Amundson – Distinguished Engineer, CVS Health
- Chris Aniszczyk – CTO, Cloud and Infrastructure, The Linux Foundation
- Keith Babo – Chief Product Officer, Solo.io
- Abby Bangser – Principal Engineer, Syntasso
- Jonathan Bryce – Executive Director, Cloud and Infrastructure, The Linux Foundation
The KubeCon + CloudNativeCon Experience
The event is designed to move attendees between deep technical learning, project engagement and practical exploration.
The main conference combines keynotes and breakouts with the Solutions Showcase, while the wider program adds tutorials, Lightning Talks, Poster Sessions, Contribfest activities and maintainer-focused programming. The result is a conference where attendees can move from a high-level discussion about AI infrastructure into a highly specific technical session on Kubernetes scheduling, observability or security.
That variety matters.
A cloud native platform is never just one component.
It is the combination of compute, networking, storage, security, deployment, observability and the developer experience built around all of it.
KubeCon reflects that reality.
There is also a strong community dimension. CNCF describes the in-person experience as an opportunity to learn directly from maintainers and contributors, exchange ideas with peers, explore emerging technologies and build connections that continue beyond the event.
Why KubeCon + CloudNativeCon North America 2026 Matters
Cloud native infrastructure has entered another phase.
AI is forcing teams to rethink compute, networking, security, observability and platform design. Agentic workloads are introducing new identity and execution challenges. At the same time, engineering organizations still have to keep conventional applications running reliably and cost-effectively.
KubeCon + CloudNativeCon North America 2026 brings those pressures into one environment.
Its real value is not simply the number of sessions or technologies represented.
It is the concentration of people actually building and operating the infrastructure behind modern applications and AI systems. The conference gives them a place to compare architectures, challenge assumptions, contribute to open source projects and see what production looks like beyond the demo.
The question is no longer whether AI will change cloud native infrastructure.
It already is.
The harder question is whether the infrastructure underneath it can evolve fast enough to keep up.
That is the challenge KubeCon + CloudNativeCon North America 2026 is bringing to Salt Lake City.
👉 Discover more at https://events.linuxfoundation.org/kubecon-cloudnativecon-north-america/