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meetup update
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| Original file line number | Diff line number | Diff line change |
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| --- | ||
| title: AI、GitOps 与程序员：关于未来的思考 | ||
| description: 探讨了 AI 驱动的开发工具对程序员未来工作的影响，包括 AI IDE 和 Cloud IDE 的发展，以及从声明式到 GitOps 的演进路径。 | ||
| keywords: AI,Kubernetes,Cloud IDE | ||
| css: scss/live-detail.scss | ||
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| section1: | ||
| snapshot: | ||
| videoUrl: //player.bilibili.com/player.html?aid=113746471028995&bvid=BV13z6JYJE5r&cid=27625980340&page=1&high_quality=1 | ||
| type: iframe | ||
| time: 2024-12-28 13:30-17:30 | ||
| timeIcon: /images/live/clock.svg | ||
| base: 线下 + 线上 | ||
| baseIcon: /images/live/base.svg | ||
| --- | ||
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| ### 讲师 | ||
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|  | ||
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| 裴振飞，KubeSphere Maintainer，视源股份运维工程师，专注于 GitOps 与 AI 技术融合。 | ||
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| ### 议题简介 | ||
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| 从程序员视角探索 GitOps 和 AI 对未来开发模式的影响，畅想技术发展带来的新机遇。 | ||
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| ### 议题大纲 | ||
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| - GitOps 在云原生中的核心价值 | ||
| - AI 技术对开发模式的改变 | ||
| - 技术创新与职业发展的结合点 | ||
| - 面向未来的技术趋势畅想 | ||
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| ### 听众收益 | ||
| - 洞察 GitOps 和 AI 的未来发展趋势 | ||
| - 获得技术创新带来的职业启发 | ||
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| ## 下载 PPT | ||
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| 可扫描官网底部二维码，关注 「KubeSphere云原生」公众号，后台回复 `20241228` 即可下载 PPT。 |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,42 @@ | ||
| --- | ||
| title: 从 LB Ingress 到 ZTM：集群服务暴露新思路 | ||
| description: 涵盖集群服务暴露的必要性与传统方式的局限性，并重点介绍了基于零信任网络（ZTM）的创新服务暴露解决方案。 | ||
| keywords: 集群服务,监控 | ||
| css: scss/live-detail.scss | ||
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| section1: | ||
| snapshot: | ||
| videoUrl: //player.bilibili.com/player.html?aid=113746387143263&bvid=BV1pj6JYNEPb&cid=27625458753&page=1&high_quality=1 | ||
| type: iframe | ||
| time: 2024-12-28 13:30-17:30 | ||
| timeIcon: /images/live/clock.svg | ||
| base: 线下 + 线上 | ||
| baseIcon: /images/live/base.svg | ||
| --- | ||
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| ### 讲师 | ||
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|  | ||
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| 张晓辉，CNCF Ambassador，LFAPAC 开源布道师，微软 MVP，公众号“云原生指北”作者。多年的微服务和云原生实践经验，主要工作涉及微服务、容器、Kubernetes、DevOps 等。 | ||
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| ### 议题简介 | ||
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| 传统 Kubernetes 集群中的服务暴露依赖 ELB、Ingress 或 NodePort，但在安全性、扩展性和管理复杂度上逐渐显现不足。本次分享聚焦 Zero Trust Mesh（ZTM），探讨其如何基于零信任理念，实现更高效、安全的服务暴露，并展示其提升安全性与简化运维的优势。 | ||
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| ### 议题大纲 | ||
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| - 传统 Kubernetes 集群中服务暴露方式的使用场景与挑战 | ||
| - ZTM 概念、框架和基本原理介绍 | ||
| - ZTM 关键组件拆解：深入理解 ZTM 体系结构 | ||
| - 运用 ZTM 有效暴露集群内服务探索 | ||
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| ### 听众收益 | ||
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| - 深入理解传统集群服务暴露模式的演变及存在的痛点。 | ||
| - 掌握 Zero Trust Mesh（ZTM） 的核心设计与技术实现。 | ||
| - 学习 ZTM 在生产环境中的落地实践及应用场景，启发全新服务暴露解决思路。 | ||
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| ## 下载 PPT | ||
|
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||
| 可扫描官网底部二维码，关注 「KubeSphere云原生」公众号，后台回复 `20241228` 即可下载 PPT。 |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,39 @@ | ||
| --- | ||
| title: Luban 青云智算平台 HAMi 的实践 | ||
| description: 聚焦 HAMi 的核心功能，涵盖 GPU、NPU 等设备的高效管理与共享，以及拓扑感知调度策略的优化实践。 | ||
| keywords: HAMi,Luban | ||
| css: scss/live-detail.scss | ||
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| section1: | ||
| snapshot: | ||
| videoUrl: //player.bilibili.com/player.html?aid=113746320097814&bvid=BV16p6JYcEEH&cid=27625262978&page=1&high_quality=1 | ||
| type: iframe | ||
| time: 2024-12-28 13:30-17:30 | ||
| timeIcon: /images/live/clock.svg | ||
| base: 线下 + 线上 | ||
| baseIcon: /images/live/base.svg | ||
| --- | ||
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| ### 讲师 | ||
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| 张连壮，青云科技高级研发工程师，专注于云计算与分布式系统设计，深耕 Kubernetes 上的 GPU 算力资源调度优化。 | ||
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| ### 议题简介 | ||
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| 通过 HAMI 平台，展示 Luban 架构如何整合云原生与 AI 能力，助力企业实现智能化计算资源的优化与调度。 | ||
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| ### 议题大纲 | ||
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| - HAMI 平台核心功能解读 | ||
| - 开发到部署的全流程经验 | ||
| - AI 计算平台的未来展望 | ||
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| ### 听众收益 | ||
| - 理解智能计算平台的核心逻辑 | ||
| - 掌握 HAMI 平台的实战经验 | ||
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| ## 下载 PPT | ||
|
|
||
| 可扫描官网底部二维码，关注 「KubeSphere云原生」公众号，后台回复 `20241228` 即可下载 PPT。 |
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Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,40 @@ | ||
| --- | ||
| title: Build effective AI agents with Spring AI Alibaba | ||
| description: 分享Spring AI Alibaba 的核心功能，包括模型调用、提示词模板、检索增强生成（RAG）和对话记忆等。 | ||
| keywords: Spring AI Alibaba,大模型 | ||
| css: scss/live-detail.scss | ||
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| section1: | ||
| snapshot: | ||
| videoUrl: //player.bilibili.com/player.html?aid=113746420697048&bvid=BV1nJ6JYAEfc&cid=27625784896&page=1&high_quality=1 | ||
| type: iframe | ||
| time: 2024-12-28 13:30-17:30 | ||
| timeIcon: /images/live/clock.svg | ||
| base: 线下 + 线上 | ||
| baseIcon: /images/live/base.svg | ||
| --- | ||
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| ### 讲师 | ||
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|  | ||
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| 聪言，阿里云开发工程师，专注 AI 开发与云原生工具设计。 | ||
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| ### 议题简介 | ||
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| 深入解读 Spring AI Alibaba 工作流的设计理念与功能优势，帮助开发者高效构建 AI 应用。 | ||
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| ### 议题大纲 | ||
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| - 产品愿景与功能定位 | ||
| - 工作流设计的核心要素 | ||
| - AI 应用开发案例与演示 | ||
| - 工作流的未来规划 | ||
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| ### 听众收益 | ||
| - 掌握云原生 AI 开发的高效工作流工具 | ||
| - 获取实用的开发技巧与案例 | ||
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| ## 下载 PPT | ||
|
|
||
| 可扫描官网底部二维码，关注 「KubeSphere云原生」公众号，后台回复 `20241228` 即可下载 PPT。 |
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Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,40 @@ | ||
| --- | ||
| title: 网关的演进历程以及在 AI 原生架构下的实践 | ||
| description: 内容涵盖网关技术从传统架构到云原生架构的演进历程，以及在 AI 驱动下的网关实践，包括高性能架构设计与案例、AI 应用场景下的流量管控和数据流转优化等。 | ||
| keywords: AI原生，网关 | ||
| css: scss/live-detail.scss | ||
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| section1: | ||
| snapshot: | ||
| videoUrl: //player.bilibili.com/player.html?aid=113746269768321&bvid=BV1pZ6JYTEuF&cid=27625065378&page=1&high_quality=1 | ||
| type: iframe | ||
| time: 2024-12-28 13:30-17:30 | ||
| timeIcon: /images/live/clock.svg | ||
| base: 线下 + 线上 | ||
| baseIcon: /images/live/base.svg | ||
| --- | ||
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| ### 讲师 | ||
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|  | ||
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| 望宸，阿里云高级技术运营专家，专注于微服务与云原生技术。 | ||
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| ### 议题简介 | ||
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| 探讨网关技术从传统到云原生的演进历程，结合 AI 驱动的现代化实践，实现智能化流量管控和高效数据流转。 | ||
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| ### 议题大纲 | ||
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| - 网关技术的发展演变 | ||
| - 云原生架构下网关的新需求 | ||
| - AI 原生驱动的网关扩展与实践 | ||
| - 高性能架构设计案例分享 | ||
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| ### 听众收益 | ||
| - 掌握网关技术关键点与应用场景 | ||
| - 学习 AI 驱动的网关落地实践 | ||
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| ## 下载 PPT | ||
|
|
||
| 可扫描官网底部二维码，关注 「KubeSphere云原生」公众号，后台回复 `20241228` 即可下载 PPT。 |
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