Speaker

Baofa Fan

Baofa Fan

DaoCloud, IT Engineer

Shanghai, China

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Baofa Fan (GitHub @carlory) is an active reviewer of the Kubernetes, Kubernetes-sigs and Kubernetes-csi organization, currently mainly on sig-storage.

And He is also a reviewer of the Karmada project which focus on the multi-cluster area.

Area of Expertise

  • Information & Communications Technology

Topics

  • kubecon
  • Kubernetes

AI Agents as Pods: Running Multi-Agent Orchestration Natively on Kubernetes

Most AI agent frameworks run on developer laptops. Gas City, an open-source orchestration SDK, treats Kubernetes as a first-class runtime — running each agent session as a Pod with native client-go integration, configurable resource limits, service accounts, and in-cluster service discovery.

This session presents Gas City's Kubernetes runtime provider. A declarative city.toml defines the agent fleet — providers (Claude Code, Codex, Gemini), resource profiles, and container images — while the controller reconciles desired state against running Pods. Each agent session runs in its own Pod with projected workspace volumes and injected Dolt (Beads database) service endpoints. When an agent's context window fills up, the Pod is recycled and a new one resumes the workflow molecule where the previous session left off.

为智能筑基:Kubernetes AI 合规之路

随着 AI 工作负载快速发展,在云原生(Cloud Native)生态中,用户和厂商亟需明确的标准来保证 Kubernetes 平台对 AI 任务的支撑能力、兼容性和可靠性。

本议题将分享 CNCF 正在推进的 “AI Conformance(AI 合规性)” 项目:是什么、为什么要做、当前在新成立的工作组 WG-AI-Conformance 制定了哪些核心测试项与标准,以及它如何涵盖如网络、调度、观测、安全等领域。

我们也将讨论社会各方 —— 开发者、基础设施厂商、云服务商、终端用户 —— 在标准化过程中的角色与责任,以及怎样协同推动标准在产业中的落实,从而使 Kubernetes 真正成为 AI 工作负载的可信平台。

Automating Kubernetes Cluster Updates: Achieving Zero Downtime Effortlessly

Upgrading a Kubernetes cluster is an ongoing task. The biggest challenge for teams maintaining Kubernetes clusters is how to avoid service disruptions or system crashes during the upgrade process. With Karpenter's disruption mechanism, we can now automate Kubernetes cluster upgrades on major cloud platforms such as AWS, Azure, and AlibabaCloud with controlled, zero downtime. To date, Karpenter supports these cloud vendors and will expand to more platforms in the future. This mechanism makes Kubernetes cluster upgrades safe, controllable, easy and efficient, and significantly reduces the operation and maintenance pressure of DevOps teams. In this session, we will discuss how Karpenter's disruption works, show examples of its practice on major cloud platforms, and help you master how to achieve smooth upgrades and ensure the continuous and stable operation of services.

KCD Hangzhou + OpenInfra Days China 2025 Sessionize Event

November 2025 Hangzhou, China

Baofa Fan

DaoCloud, IT Engineer

Shanghai, China

Actions

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