Meng Yan
Red Hat, Software Engineer
Actions
Meng Yan is currently a software engineer at Red Hat, specializing in event-based solutions for multi-cluster management. His primary contributions to open-source projects include multicluster-global-hub, cloudevents/sdk-go, and multicluster-controlplane, among others.
Area of Expertise
多集群环境中AI驱动的故障诊断
在多集群环境中，故障排除需要专业的知识和工程技能，这使得快速响应问题变得具有挑战性。然而，Agentic工作流为自动化这一复杂过程提供了可能。我将介绍并展示多个角色的AI智能体，旨在简化和自动化Open Cluster Management环境中的故障排除：
顾问智能体：针对问题或故障，从Open Cluster Management文档或开发者操作手册中提取并分析相关内容，提供该问题的专业洞察或知识。
工程师智能体：与多Kubernetes集群环境进行交互，依据规划智能体提供的执行操作计划与多个集群进行交互，并且与管理员确认来确保操作的安全性和合规性。
规划智能体：利用顾问智能体提供的专业内容，制定结构化的故障排除计划，并交由工程师智能体执行。
这些智能体间协同工作，自动化流程，减少人工干预，提高运营效率。此外多个智能体可以通过学习过去的交互和反馈，推动持续改进，进而加快问题的解决。这样，集群管理员和工程师能够更高效地管理复杂的系统。
Empowering Federated Learning with Multi-Cluster Management for Privacy and Efficiency
Federated Learning (FL) enables collaborative model training while ensuring data privacy, a crucial requirement for many organizations. Open-Cluster-Management (OCM) extends this capability by managing both public and private clusters, making it an ideal solution for environments with strict data governance, such as private clouds. Instead of transferring sensitive data between clusters, OCM leverages FL to move models, significantly reducing bandwidth usage and minimizing the need for large-scale data storage within individual clusters.
Furthermore, OCM standardizes FL workflows, providing seamless integration with platforms like Flower, OpenFL, and FATE through a unified interface. This session will demonstrate how OCM enhances FL with scalable multi-cluster management, cost-efficient operations, and standardized workflows to enable the development of smarter, privacy-focused AI solutions.
Extend Kubernetes to Edge Using Event-Based Transport
Struggling with extensive edge cluster management? Kubernetes adoption brings new challenges, especially in sectors like telecom, retail, and manufacturing. The surge in clusters highlights Kubernetes' limitations, worsened by unreliable networks between data centers and edge clusters. Without scalable control, organizations resort to sending engineers to maintain thousands or even millions of edge clusters, slowing progress.
But, we have a solution: connecting Kubernetes and edge clusters via event-based transport, utilizing standard open-source protocols like Kafka, MQTT, and NATS. This enhances Kubernetes-style events, making them resilient to network delays or disconnects. With these capabilities, we can effortlessly construct a central control plane scalable to millions of edge clusters.
Join us for an intuitive control plane, handling a million edge clusters across regions. Learn an approach that can be adapted to your edge management infrastructure today.
KCD Beijing 2025 Sessionize Event
KubeCon + CloudNativeCon + Open Source Summit + AI_Dev China 2024 Sessionize Event
Please note that Sessionize is not responsible for the accuracy or validity of the data provided by speakers. If you suspect this profile to be fake or spam, please let us know.
Jump to top