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KubeCon North America 2025: Recapping the Industry's Shift to AI Native Infrastructure | Harness Blog

At KubeCon Atlanta 2025, Harness demonstrated how Agentic AI is transforming CI/CD from simple automation to adaptive, intelligent pipelines that reason, learn, and optimize delivery. The conference signaled a definitive move from "Cloud Native" to "AI Native," with Harness showcasing how AI is becoming the core substrate of software delivery rather than just an add-on.

TL;DR

  • KubeCon 2025 signaled the industry's transition from Cloud Native to AI Native infrastructure, with Kubernetes evolving to orchestrate autonomous AI agents and intelligent workloads.
  • The CNCF launched the Kubernetes AI Conformance Program to standardize AI and ML workload deployment across clouds using Dynamic Resource Allocation (DRA) for GPUs and TPUs as first-class resources.
  • Harness demonstrated how Agentic AI transforms software delivery pipelines into adaptive systems powered by a Software Delivery Knowledge Graph that analyzes patterns, predicts failures, and recommends optimizations.
  • Security emerged as a critical theme, with zero-CV malware attacks highlighting the need for supply chain attestation (SLSA), policy-as-code enforcement, and artifact signing with Sigstore throughout CI/CD pipelines.

Atlanta did not just host KubeCon this year. It hosted the beginning of a new chapter for cloud native. Over four incredible days, more than 9,000 attendees celebrated 10 years of CNCF, explored the next generation of open source innovation, and most of all, grappled with the question echoing through every keynote, booth, and hallway track:

What does AI native really mean for our community?

Harness at OpenTofu Day: Community + Contributions Momentum

KubeCon week kicked off with OpenTofu Day, one of the few co-located events this year, and Harness had a strong presence as contributors and community leaders. Larry Bordowitz, a core maintainer, joined technical discussions on backend improvements and enterprise interoperability and participated in a panel on OpenTofu’s roadmap under CNCF governance. Roger Simms, on the OpenTofu Technical Steering Committee, met with maintainers and platform teams to align on long-term standards for vendor neutral IaC. We also released the Practical Guide to Modernizing Infrastructure Delivery, showing how teams like TransUnion and Fidelity scaled IaC, reduced toil, and built secure GitOps workflows in preparation for AI driven infrastructure delivery.

Harness and OpenTofu promotional cards and mascot sticker sheets displayed at OpenTofu Day
Harness at OpenTofu Day

The themes of the day such as openness, trust, and modernization were echoed in talks like Fabrizio Sgura’s session on 5 Security Tips for Terraform, where he highlighted Harness’s native integrations with SCS and STO. This kind of independent validation matters because it shows the industry increasingly recognizes that modern IaC requires secure, integrated pipelines, not just template execution. OpenTofu Day underscored one message: the future of IaC is open, and Harness is committed to leading that future through contribution, community partnership, and enterprise-ready tooling.

A Decade of Cloud Native and the Dawn of AI Conformance

The opening keynote marked a milestone: 10 years of CNCF and a clear signal that the next decade will be defined by AI workloads running natively on Kubernetes.

We saw the unveiling of the Kubernetes AI Conformance Program, a community-driven initiative ensuring that AI and ML workloads run consistently across clouds and hardware accelerators. The live demo, deploying a Gemma model on a Kubernetes 1.34 cluster using Dynamic Resource Allocation (DRA), showed how GPUs and TPUs are now first-class citizens in Kubernetes. The message was clear: the cloud native community is laying the foundation for standardized AI infrastructure across every cloud and cluster.

This community is trying to standardize AI inference workloads across every cloud and system out there.

That sentiment aligns perfectly with Harness’s vision that AI is no longer an add-on to software delivery; it is becoming the delivery substrate itself.

Lightning Talk Highlight: Chinmay Gaikwad at the Google Cloud Booth

At the Google Cloud Booth, Chinmay Gaikwad, Harness’s Director of Product Marketing, presented “Creating Enterprise-ready CI/CD Using Agentic AI,” demonstrating how AI is making continuous delivery faster and more secure at enterprise scale. Harness’s extensive knowledge graph caught the attention of the audience.

Harness AI architecture connecting Agentic Flows, a Software Delivery Knowledge Graph, and Intelligent Workflow Orchestration
How Harness AI works - Overview Diagram
Chinmay Gaikwad presenting 'Creating Enterprise-Ready CI/CD using Agentic AI' at the Google Cloud booth
Chinmay Gaikwad at Google Cloud Booth for his lightning talk

From Cloud Native to AI Native: Adobe’s Call for Acceleration

In one of the most memorable keynotes of the week, Joseph Sandoval (Adobe) described our evolution from Linux to Cloud Native to AI Native. He introduced the idea of the Agent Economy, where autonomous systems observe, reason, and act, and emphasized that Kubernetes must now evolve to orchestrate them.

This transformation requires more intelligent scheduling, deeper observability, and verified agent identity using SPIFFE/SPIRE. Sandoval’s call to action summed up the mood of the entire conference:

AI native is not going to be built by one project or one company. It will be built by all of you. The community is the accelerator.

This perfectly reflects what we showcased at Harness: Agentic AI as an engineering accelerator, powering adaptive, intelligent pipelines that continuously learn and optimize delivery.

Security Takes Center Stage: From Supply Chain to Zero-CV Malware

In the keynote “Supply Chain Reaction: A Cautionary Tale in K8s Security,” speakers S. Potter and A.G. Veytia delivered a wake-up call on supply chain attacks. A compromised compiler injected crypto-mining malware into a “clean” image, bypassing traditional vulnerability scanners.

Your image has zero vulnerable components, so there is nothing to report. It is zero-CV malware.

Their advice was practical: secure the supply chain through attestation (SLSA), policy enforcement, and artifact signing with Sigstore. Harness users saw this principle in action at our booth, where we demonstrated policy-as-code and provenance-aware delivery in our CI/CD pipelines.

Apple Containerization: Secure, Private Containers for Developers

Apple introduced Apple Containerization, a new framework that runs Linux containers directly on macOS using lightweight microVMs. Each container boots a minimal Linux kernel, runs as a static executable, and starts in under a second. This design combines the security of VMs with the speed of containers, creating safer, more private development environments.

Sessions That Stood Out

Beyond the keynotes, technical sessions reinforced a clear trend: intelligent, automated, and developer-first platforms are the future.

  • Efficient Kubernetes Autoscaling with KEDA – Practical scaling strategies to handle latency, performance, and cost efficiency.
  • Beyond the Dashboard: Modern Observability for Platform Engineering – How platform teams are embedding observability directly into developer workflows.
  • Node Manager at Yahoo – Automation-first node maintenance across 8,000 nodes and 37 clusters.
  • GitOps for AI Agents – Using Argo CD and Argo Workflows to manage intelligent, stateful agent pipelines.
  • Managing a Million Infra Resources at Spotify – Lessons in declarative infrastructure and platform modularity.
  • Deploying Backstage in a Large Organization – Turning internal developer portals into true developer accelerators.
  • GitOps and the Manifest Dilemma – How GitOps tools like Helm, Crossplane, and Kro can align around common standards.

Harness at KubeCon: Real AI for Real Delivery

At Booth #522, the Harness team showcased over 17 products (such as CI, CD, IDP, IaCM, security, testing, and FinOps products), sparking conversations on the practical side of AI in DevOps, Testing, Security, and FinOps.

Harness’s visual pipeline creation and creating pipelines using AI we hot topics at the booth.

Harness visual pipeline editor showing an end-to-end delivery pipeline with build, deploy, and approval stages
Harness End2End Software Delivery Pipeline Demo (Visual Pipeline Editor backed by YAML)

Harness supports many CNCF projects, including ArgoCD, Backstage, LitmusChaos, and OpenTofu. The enthusiasm was electric, and our booth became a hub for deep technical conversations, spontaneous demos, and, yes, the best swag of the show.

The Harness team posing at their KubeCon 2025 booth featuring Get Ship Done branding
The Dream Team @ KubeCon 2025

Looking Ahead: The AI Native Future

If KubeCon 2024 was about AI awareness, KubeCon 2025 was about AI activation. From Kubernetes AI Conformance to Agentic orchestration, cloud native is evolving into the control plane for intelligent systems.

At Harness, we are building for that future where:

  • Pipelines think ahead of engineers.
  • Observability explains itself.
  • AI native delivery becomes the new standard for modern teams.

See What’s Next

Could not make it to Atlanta? Experience the technology everyone was talking about.

KubeCon 2025 proved one thing: the future of cloud native is intelligent, adaptive, and collaborative. And at Harness, we are building it.

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Dewan Ahmed
Principal Developer Advocate
Dewan Ahmed is a Principal Developer Advocate at Harness, a company that aims to enable every software engineering team in the world to deliver code reliably, efficiently and quickly to their users. Before joining Harness, he worked at IBM, Red Hat, and Aiven as a developer and QA lead.
dewan-ahmed
Dewan Ahmed
https://www.linkedin.com/in/diahmed/
https://x.com/dewanahmed
Chinmay Gaikwad
Director, Product Marketing
Chinmay Gaikwad is an expert on making complex technologies - such as cloud-native solutions, Kubernetes, application security, and CI/CD pipelines - accessible and engaging for both developers and business decision-makers.
chinmay-gaikwad
Chinmay Gaikwad
https://www.linkedin.com/in/chinmay-gaikwad/