| 1 |
Securing the Supply Chain: A Practical Guide to SLSA Compliance from Build to... Enguerrand Allamel |
tutorial |
|
Security |
32:33 |
| 2 |
Best Practice: Karmada & Istio Improve Workload & Traffic Resilience of Production... Chaomeng Zhang |
concept |
|
Networking |
36:48 |
| 3 |
Valkey - Overview and Outlook - Dirk Hohndel, Verizon |
concept |
|
|
28:41 |
| 4 |
The Challenges of Kubernetes Data Protection - Real Examples and Solutions... Wenkai Yin & Bruce Zou |
concept |
|
|
42:31 |
| 5 |
How to Increase the Throughput of Kubernetes Scheduler by Tens of Times - Yuquan Ren & Bing Li |
concept |
|
Autoscaling & performance |
40:58 |
| 6 |
The Experience of ChillyRoom Developing & Managing Session-Based Game... - Qiuyang Liu & Xinhao Liu |
concept |
|
|
42:36 |
| 7 |
Opportunities and Challenges of Cloud Native Technology in US Healthtech - Katerina Arzhayev |
concept |
|
|
33:04 |
| 8 |
What if Your System Experiences an Outage? Let's Build a Resilient Systems with Chao...- NamKyu Park |
concept |
|
Reliability & operations |
20:44 |
| 9 |
Rollout Patterns: Smoothly Migrating and Rolling Out Your Microservices - Tim Xiao |
case study |
|
|
30:09 |
| 10 |
Boosting LLM Development and Training Efficiency: Automated Parallelization with Min... - Yiren Xing |
concept |
|
AI & ML, Cost & efficiency |
44:06 |
| 11 |
Dragonfly: Intro, Updates and Ant Group's Practice of Accelerating Model...- Wenbo Qi & Qixiang Chen |
concept |
|
|
43:19 |
| 12 |
Ensuring Success with Kyverno in Production: What You Must Know - Shuting Zhao |
case study |
|
Security |
33:02 |
| 13 |
Inplace-Update: The Past, Present and Future - Zhang Zhen & Mingshan Zhao & Yuxing Yuan |
concept |
|
|
43:10 |
| 14 |
Next Steps for the Ingress-NGINX Project / Ingress-NGINX项目的下一步计划 - Jintao Zhang, Kong Inc. |
concept |
|
|
40:18 |
| 15 |
Containerd: Project Update and Deep Dive / Containerd：项目更新和深入探讨 - Akhil Mohan, VMware & Iceber Gu |
concept |
|
Serverless & runtimes |
21:52 |
| 16 |
The Bang! - When Bad Things Happen to Your Data / 爆炸！- 当数据出问题时 - Kelvin Mun, Veeam Software |
concept |
|
|
25:35 |
| 17 |
KuaiShou's 100% Resource Utilization Boost: 100K Redis Migration from... - XueQiang Wu & YuXing Liu |
case study |
|
|
44:19 |
| 18 |
Java Me Smarter: Unleashing AI Power with Quarkus / Java让我更聪明：用Quarkus释放人工智能的力量 - Daniel Oh, Red Hat |
concept |
|
AI & ML |
36:26 |
| 19 |
How Does KubeEdge Build the Tunnel Which Is Secure, Trusted, and Adapta...- Wei Hu & Clement Richard |
concept |
|
Networking, Edge & IoT |
29:23 |
| 20 |
CubeFS Boosts Efficiency of AI Production / CubeFS提高了AI生产的效率 - Chi He, OPPO |
concept |
|
AI & ML, Cost & efficiency |
38:03 |
| 21 |
Detecting and Overcoming GPU Failures During ML... - Ganeshkumar Ashokavardhanan & Sarah Belghiti |
concept |
|
AI & ML |
43:06 |
| 22 |
Unveiling the Future: Nurturing Openness in AI Development / 揭示未来：培育人工智能开放性发展 - Anni Lai & Mer Joyce |
concept |
|
AI & ML |
30:02 |
| 23 |
Write Once Run Anywhere, but for GPUs / GPU 时代的“一次编写，到处运行” - Michael Yuan, Second State |
concept |
|
AI & ML |
40:30 |
| 24 |
LLM's Anywhere: Browser Deployment with Wasm & WebGPU - Joinal Ahmed & Nikhil Rana |
concept |
|
AI & ML, Serverless & runtimes, Edge & IoT |
30:57 |
| 25 |
Breaking Boundaries: TACC as an Unified Cloud-Native Infra for AI + HPC - Peter Pan & Kaiqiang Xu |
concept |
|
AI & ML |
31:41 |
| 26 |
No More Runtime Setup! Let's Bundle, Distribute, Deploy, Scale LLMs Seamlessly... - Fanshi Zhang |
concept |
|
|
34:14 |
| 27 |
Model Service Mesh: A New Paradigm for Large-Scale AI Model Servic...- Xi Ning Wang & Huailong Zhang |
concept |
|
Networking, AI & ML |
36:29 |
| 28 |
Constructing the 10x Efficiency of Cloud-Native AI Infrastructure - Peter Pan, DaoCloud & 秋萍 戴 |
concept |
|
AI & ML, Cost & efficiency |
34:59 |
| 29 |
New Advances for Cross-Platform AI Applications in Docker / Docker中跨平台AI应用程序的新进展 - Michael Yuan |
concept |
|
AI & ML |
36:08 |
| 30 |
Optimize LLM Workflows with Smart Infrastructure Enhanced by Volcano - Xin Li & Xuzheng Chang |
concept |
|
AI & ML |
32:48 |
| 31 |
Expanding Cloud Native Capabilities with WASM: A Case Study of Harbor... - Chenyu Zhang & Yan Wang |
case study |
|
Serverless & runtimes |
39:09 |
| 32 |
Developing a Standard Multi-Cluster Invento... - Zhiying Lin & Chen Yu, Hongcai Ren, Di Xu, Jian Qiu |
concept |
|
|
34:31 |
| 33 |
Build Container Runtime Based on Sandbox API of Containerd - Shaobao Feng & Cai Wei |
concept |
|
Serverless & runtimes |
40:16 |
| 34 |
Beyond Statefulset: Containerize Your Enterprise Stateful Applications... - Mingshan Zhao & Vec Sun |
concept |
|
Storage & data |
43:00 |
| 35 |
Unlocking LLM Performance with EBPF: Optimizing Training and Inference Pipelines - Yang Xiang |
concept |
|
Networking, Autoscaling & performance, AI & ML |
37:51 |
| 36 |
JuiceFS CSI in Multi-Thousand Node Kubernetes Clusters for LLM Pre-Training - Weiwei Zhu |
concept |
|
Storage & data, AI & ML |
26:06 |
| 37 |
TiDB: Your Next MySQL Is Not a MySQL / TiDB：你的下一个 MySQL 何必是 MySQL - Qizhi Wang, PingCAP |
concept |
|
|
26:21 |
| 38 |
Deep Dive Into Windows CSI Driver HostProcess Containers - Andy Zhang (OSTC) & Weizhi Chen |
concept |
|
Storage & data |
22:54 |
| 39 |
The Two Sides of the Kubernetes Enhancement Proposals (KEPs) - Rayan Das & Sreeram Venkitesh |
concept |
|
|
25:31 |
| 40 |
Leveraging Multi-Cluster Architecture for Resilient and Elastic H... - Feng Xiong, 小红书 & Hongcai Ren |
case study |
小红书 (Xiaohongshu) |
Reliability & operations |
31:34 |
| 41 |
NanoVisor: Revolutionizing FaaS Cold Start Performance with Secure, Lightweight Cont...- Tianyu Zhou |
concept |
|
Autoscaling & performance, Serverless & runtimes |
26:08 |
| 42 |
Testing and Release Patterns for Crossplane / 跨平面的测试和发布模式 - Yury Tsarev & Steven Borrelli, Upbound |
concept |
|
Platform engineering |
35:19 |
| 43 |
Unlocking Scalability and Simplifying Multi-Cloud Management with Karma...- Khanh Tran & Hongcai Ren |
concept |
|
|
32:27 |
| 44 |
The Journey of Next-Gen FinTech IDP at China Merchants Bank / 中国招商银行下一代金融科技IDP之旅 - Jiahang Xu |
case study |
China |
|
36:16 |
| 45 |
Understanding the Buzz Around Cilium: Introduction and in Production at... - Bo Kang Li & Liyi Huang |
case study |
|
Networking |
30:33 |
| 46 |
KubeVirt Community Update / KubeVirt社区更新 - Haolin Zhang, Arm |
concept |
|
|
37:27 |
| 47 |
OpAMP: Scaling OpenTelemetry with Flexibility - Husni Alhamdani & Herbert Sianturi |
concept |
|
Observability, Autoscaling & performance |
31:12 |
| 48 |
WebAssembly on the Server / 服务端的WebAssembly - Vivian Hu, Second State |
concept |
|
Serverless & runtimes |
44:01 |
| 49 |
Gateway API and Beyond: Introducing Envoy Gateway's Gateway API Extensions - Huabing Zhao, Tetrate |
concept |
|
Networking |
44:12 |
| 50 |
How Volcano Enable Next Wave of Intelligent Applications / 如何让 Volcano 激活下一波智能应用 - Xuzheng Chang |
concept |
|
|
25:54 |
| 51 |
Enhancing Security and Software Supply Chain: Recent and Upcoming Features in Harbor - Stone Zhang |
concept |
|
Security |
15:58 |
| 52 |
LFX Mentorship Showcase - Shuah, Mohit, Nishchay, Namkyu, Liang, Ayman, Anup, Juntong, Yash, Ghan... |
concept |
|
|
34:25 |
| 53 |
Enforceable Supply Chain Security Policy with OPA Gatekeeper and Ratify - Feynman Zhou & Dahu Kuang |
concept |
|
Security |
35:51 |
| 54 |
In the Post-Gen GenAI World, Talent Is Something You Build, Not Buy - Clyde Seepersad |
concept |
|
|
33:27 |
| 55 |
Open Sourcing the Future of Z: Unleashing Innovation on the...- Dong Ma & Chen ji, Mike Friesenegger |
concept |
|
|
38:02 |
| 56 |
OS Migration Solution on Cloud / 云上操作系统迁移解决方案 - Jianlin Lv, eBay |
case study |
eBay |
|
40:19 |
| 57 |
Security Threat Model Analysis and Protection Practice in Edge Computing... - Yue Bao & Huan Wei |
concept |
|
Security, Edge & IoT |
44:18 |
| 58 |
Revolutionizing Service Mesh with Kernel-Native Sidecarless Architecture - Xin Liu |
concept |
|
Networking |
37:27 |
| 59 |
Navigating the Ethical Horizon: Pioneering Responsible AI with the Generative AI Commons - Anni Lai |
concept |
|
AI & ML |
34:08 |
| 60 |
Effortless Scalability: Orchestrating Large Language Model Inference...- Joinal Ahmed & Nirav Kumar |
concept |
|
AI & ML |
26:45 |
| 61 |
Empower Large Language Models (LLMs) Serving in Production with Cloud Native...- Lize Cai & Yang Che |
case study |
|
|
39:00 |
| 62 |
dora-rs: Dataflow Oriented Robotic AI framework / dora-rs：面向数据流的机器人AI框架 - Xavier Tao, 1ms.ai |
concept |
|
AI & ML |
32:50 |
| 63 |
Model Openness Framework: The Path to Openness, Transparency and Collabor... - Matt White & Anni Lai |
concept |
|
|
22:16 |
| 64 |
Unlocking the Power of Kubernetes: AI-Driven Innovations for Next-Gen Infrastructure - Brandon Kang |
concept |
|
|
35:38 |
| 65 |
VeScale: A PyTorch Native LLM Training Framework / veScale：一个PyTorch原生LLM训练框架 - Hongyu Zhu |
concept |
|
AI & ML |
23:39 |
| 66 |
Choose Your Own Adventure: The Struggle for Security / 选择你的冒险：安全之战 - Whitney Lee & Viktor Farcic |
concept |
|
Security |
38:36 |
| 67 |
Building a High-Performance Time Series Database from Scratch:...- Aliaksandr Valialkin & Hui Wang |
concept |
|
Storage & data |
33:49 |
| 68 |
A Story of Managing Kubernetes Watch Events End-to End Flow in Extremely Large Clusters - Bo Tang |
concept |
|
|
41:04 |
| 69 |
KubeEdge DeepDive: Extending Kubernetes to the Edge with Real-World Ind...- Yue Bao & Hongbing Zhang |
case study |
|
Edge & IoT |
44:50 |
| 70 |
A Decade of Cloud-Native Journey: The Evolution of Container Technology and the Kub...- Jintao Zhang |
case study |
|
|
39:57 |
| 71 |
Kubernetes Community Panel: A Decade of Evolution and Future Trends |
panel |
|
|
40:38 |
| 72 |
Find Your Own Personal Tutor for the Study of Kubernetes / 为学习Kubernetes找到适合您的个人导师 - Hoon Jo |
concept |
|
|
38:04 |
| 73 |
Observability Supercharger: Build the Traffic Topology Map for Millio...- Sheng Wei & Teck Chuan Lim |
concept |
|
Observability |
15:50 |
| 74 |
Working with Raw Disk Drives in Kubrenetes — YDB's Experience - Ivan Blinkov, YDB |
concept |
|
|
24:03 |
| 75 |
KubeSkoop: Deal with the Complexity of Network Issues and Monitoring... - Yutong Li & Bingshen Wang |
concept |
|
Observability |
39:48 |
| 76 |
Kelemetry: Global Control Plane Tracing for Kubernetes - Wei Shao & Jonathan Chan, ByteDance |
concept |
|
Observability |
29:13 |
| 77 |
Implement Auto Instrumentation Under GraalVM Static Compilation on OTel Java Agent - Zihao Rao |
concept |
|
Observability |
29:24 |
| 78 |
Beyond the Basics: Towards Making Thanos Production-Ready - Benjamin Huo & Junhao Zhang |
concept |
|
Observability |
37:44 |
| 79 |
OpenTelemetry Amplified: Full Observability with EBPF-Enabled Distributed... - Kai Liu & Wanqi Yang |
concept |
|
Observability |
38:40 |
| 80 |
Uniting Sustainability and Edge Computing: Kepler & Open Horizon on... - Peng Hui Jiang & David Yao |
concept |
|
Cost & efficiency, Edge & IoT |
34:53 |
| 81 |
Revolutionizing Scientific Simulations with Argo Workflows - ShaungKun Tian & YaShi Su |
concept |
|
CI/CD & GitOps |
25:09 |
| 82 |
Panel: Fragmentation of the Sche... - Kante Yin & QiuPing Dai, William Wang, Yuquan Ren, Wang Jianyu |
panel |
|
|
36:26 |
| 83 |
Unified Management, Continuity, Compliance in Multi-Clouds with Service Mesh - Kebe Liu, DaoCloud |
concept |
|
Security, Networking |
38:17 |
| 84 |
Redefining Service Mesh: Leveraging EBPF to Optimize Istio Ambient Architecture and... - Yuxing Zeng |
concept |
|
Networking, Autoscaling & performance |
45:51 |
| 85 |
OpenYurt & Dragonfly: Enhancing Efficient Distribution of LLMs in Cloud-Edge... - Linbo He & Jim Ma |
concept |
|
|
38:55 |
| 86 |
Accelerating Serverless AI Large Model Inference with Functionalized... - Yiming Li & Chenglong Wang |
concept |
|
AI & ML, Serverless & runtimes |
35:01 |
| 87 |
Leveraging Wasm for Portable AI Inference Across GPUs, CPUs, OS & Cloud...- Miley Fu & Hung-Ying Tai |
concept |
|
AI & ML, Serverless & runtimes |
35:27 |
| 88 |
Leverage Topology Modeling and Topology-Aware Scheduling to Accelerate LLM Training - William Wang |
concept |
|
Autoscaling & performance, AI & ML |
44:55 |
| 89 |
How Fast Can Your Model Composition Run in Serverless Inference? - Fog Dong, BentoML & Wenbo Qi |
concept |
|
AI & ML, Serverless & runtimes |
36:18 |
| 90 |
Connecting the Dots: Towards a Unified Multi-Cluster AI/ML Experience - Qing Hao, Red Hat & Chen Yu |
concept |
|
AI & ML |
38:21 |
| 91 |
Boundaryless Computing: Optimizing LLM Performance, Cost, and Efficiency in...- Jian Zhu & Kai Zhang |
concept |
|
Autoscaling & performance, AI & ML, Cost & efficiency |
43:02 |
| 92 |
AI Inference Performance Acceleration: Methods, Tools, and Deployment Workflows - Yifei Zhang & 磊 钱 |
concept |
|
Autoscaling & performance, AI & ML |
42:30 |
| 93 |
Enhancing Application Delivery with KubeVela: Introducing the New Cuex Feature - Fog Dong, BentoML |
concept |
|
|
21:17 |
| 94 |
XRegistry - Looking Beyond CloudEvents / xRegistry - 超越CloudEvents - Leo Li, Red Hat |
concept |
|
|
22:24 |
| 95 |
OpenTelemetry Community Update / OpenTelemetry社区更新 - Zihao Rao, Huxing Zhang & Wanqi Yang, Jared Tan |
concept |
|
Observability |
34:07 |
| 96 |
What Is the Future of Service Mesh? Sidecar or Sidecarless - Zhonghu Xu, Huawei |
concept |
|
Networking |
26:35 |
| 97 |
Power TiKV with in-Memory Engine / 使用内存引擎强化 TiKV - Chenjie Tang, PingCAP |
concept |
|
Storage & data |
35:31 |
| 98 |
Safeguarding Cloud Native Supply Chain - Yi Zha & Mostafa Radwan |
concept |
|
Security |
41:24 |
| 99 |
SIG-Multicluster Intro and Deep Dive - Jeremy Olmsted-Thompson, Hongcai Ren, Jian Qiu |
concept |
|
|
30:42 |
| 100 |
Scorecard: Assessments Made Easy / Scorecard：让开源项目评估更轻松 - Ram Iyengar, Cloud Foundry Foundation |
concept |
|
|
28:01 |
| 101 |
Linux Kernel CVEs, What Has Caused So Many to Suddenly Show Up? - Greg Kroah-Hartman |
concept |
|
|
39:30 |
| 102 |
Several Key Lessons Learned from OSS Project Governance to Corporate OSS Governance - Xu Wang |
concept |
|
|
32:28 |
| 103 |
Zen and the Art of OSPO Maintenance - Nadia Jiang, Richard Bian, Li Jiansheng, Zhenhua Sun, Jie Liu, |
concept |
|
|
41:00 |
| 104 |
Community Charter and Cookbook: The Recipe of Building Communities in the Open - Prithvi Raj |
concept |
|
|
37:52 |
| 105 |
A New Choice for Istio Data Plane: Architectural Innovation for a Brand-New Performan...- Zhonghu Xu |
concept |
|
Networking |
36:48 |
| 106 |
Unlocking Heterogeneous AI Infrastructure K8s Cluster: Leveraging the...- Xiao Zhang & Mengxuan Li |
concept |
|
AI & ML |
40:23 |
| 107 |
Simplify AI Infrastructure with Kubernetes Operators - Ganeshkumar Ashokavardhanan & Tariq Ibrahim |
concept |
|
AI & ML |
40:14 |
| 108 |
Sit Back and Relax with Fault Awareness and Robust Instant Recovery for... - Fanshi Zhang & Kebe Liu |
concept |
|
|
38:16 |
| 109 |
Self-Hosted LLM Agent on Your Own Laptop or Edge Device / 在自己的笔记本电脑或边缘设备上自托管LLM Agent - Michael Yuan |
concept |
|
AI & ML, Edge & IoT |
35:21 |
| 110 |
Is Your GPU Really Working Efficiently in the Data Center? N Ways to... - Xiao Zhang & Wu Ying Jun |
concept |
|
AI & ML |
39:16 |
| 111 |
Ethics in the Cloud: Safeguarding Responsible AI Development in Asia - Quiana Berry, Red Hat |
concept |
|
AI & ML |
34:35 |
| 112 |
Addressing Challenges of Cross-Architecture Dynamic Migration Over Heterogeneous... - Yanjun Chen |
case study |
|
|
18:44 |
| 113 |
How to Manage Database Clusters Without a Dedicated Operator - Shanshan Ying, ApeCloud & Shun Ding |
concept |
|
Storage & data |
41:30 |
| 114 |
Unleashing the Power of Cluster API: Extensibility and Customization - Zain Malik & Nibir Bora |
concept |
|
|
30:40 |
| 115 |
Tackling Operational Time-to-Market Decelerators in AI/ML Projects - Adrian Matei & Andreea Munteanu |
concept |
|
AI & ML |
25:44 |
| 116 |
Scaling Kubernetes: Best Practices for Managing Large-Scale Batch Jobs... - Yu Zhuang & Liu Jiaxu |
concept |
|
Autoscaling & performance |
32:04 |
| 117 |
Kubespray Unleashed: Navigating Bare Metal Services in Kubernetes for LLM... - Kay Yan & Alan Leung |
concept |
|
AI & ML |
36:50 |
| 118 |
Implementing Fine-Grained and Pluggable Container Resource Management Leverag...- Qiang Ren & He Cao |
concept |
|
Cost & efficiency |
36:30 |
| 119 |
Multi-Cluster Networking and Service Discovery Leveraging NRI - LingMing Xia & Di Xu |
concept |
|
Networking |
33:25 |
| 120 |
Istio and Modern API Gateways: Navigating the Future of Service Meshes - Panel Discussion |
panel |
|
Networking |
42:39 |
| 121 |
Implementing Seamless Connectivity and Service Governance in Multi Kubernetes Clu... - Xiaohui Zhang |
concept |
|
|
30:34 |
| 122 |
Lightning Talk: Use Keycloak to Build an Authentication System for Cloud-Native Ap... - Yiting Jiang |
concept |
|
|
5:41 |
| 123 |
Lightning Talk: Running Native WebAssembly AI Applications Everywhere - Tiejun Chen, VMware |
concept |
|
AI & ML, Serverless & runtimes |
5:13 |
| 124 |
Lightning Talk: Rocket Power Your Kubernetes Career with Kubestronaut Program - Giorgi Keratishvili |
concept |
|
|
5:41 |
| 125 |
Lightning Talk: Kubernetes Raises Questions. Can a PaaS Answer Them? - Ram Iyengar |
concept |
|
|
5:46 |
| 126 |
Lightning Talk: K8SUG: Unleashing the Power of Community - Yongkang He, K8SUG.com |
other |
|
|
5:03 |
| 127 |
Lightning Talk: How Prometheus AI Agent Helps Build Interactive Monitoring? - Zhihao Liu, Quwan |
concept |
|
Observability, AI & ML |
4:08 |
| 128 |
Lightning Talk: WASM on Embedded Systems (RTOS) - Han Wu, University of Exeter |
concept |
|
Serverless & runtimes |
5:01 |
| 129 |
Lightning Talk: Discussion on CNAI Widely Used in Education - Chen Lin, VMware by Broadcom |
concept |
|
|
5:00 |
| 130 |
Lightning Talk: Empower WebAssembly and Container Both on RISC-V - Tiejun Chen, VMware |
concept |
|
Serverless & runtimes |
4:11 |
| 131 |
Extend Kubernetes to Edge Using Event-Based Transport - Longlong Cao & Meng Yan |
concept |
|
Edge & IoT |
34:21 |
| 132 |
Time Series Database on Kubernetes: Efficient Management of Massive Internet of Vehi... - Vicky Lee |
concept |
|
Storage & data |
37:51 |
| 133 |
Strengthening Container Security: A Collaborative Journey - Yi Zha & Beltran Rueda Borrego |
case study |
|
Security |
28:50 |
| 134 |
Project Lightning Talk: KubeEdge user cases show in multiple industries and scenarios |
concept |
|
Edge & IoT |
6:44 |
| 135 |
Project Lightning Talk: KCL: Simplifying Kubernetes Manifests Management / KCL：简化 Kubernetes 清单管理 |
concept |
|
|
3:40 |
| 136 |
Enhancing Cyber Resilience Through Zero Trust Chaos Experiments in... - Sayan Mondal & Rafik Harabi |
concept |
|
Security |
33:51 |
| 137 |
Project Lightning Talk: Telemetry API and Open Telemetry: the answer of istio monitoring? |
concept |
|
Observability, Networking |
7:29 |
| 138 |
Project Lightning Talk: Kyverno Kickoff: Getting Your Team Onboard in a Flash |
concept |
|
Security |
6:06 |
| 139 |
Project Lightning Talk: Karmada: Project introduction and updates / 项目闪电讲：Karmada：项目介绍与更新 |
concept |
|
|
5:00 |
| 140 |
Project Lightning Talk: Adaptive Tracing Propagation with OpenTelemetry: Navigating Protocol Div... |
concept |
|
Observability |
5:41 |
| 141 |
Project Lightning Talk: Xline: Achieving Fast Consensus and High Performance in Wide-Area Networks |
concept |
|
Autoscaling & performance |
5:57 |
| 142 |
Project Lightning Talk: WasmEdge 0.14.0 release highlight / 项目闪电讲：WasmEdge 0.14.0 发布亮点 |
concept |
|
|
5:09 |
| 143 |
Project Lightning Talk: What's new in Kuasar 1.0? / Kuasar 1.0 有什么新特性？ |
concept |
|
|
4:57 |
| 144 |
Project Lightning Talk: nerdctl: Docker-compatible CLI for containerd |
concept |
|
Serverless & runtimes |
5:28 |
| 145 |
Project Lightning Talk: Explore Secure Artifacts Storage and Management with Harbor |
concept |
|
Security, Storage & data |
6:01 |
| 146 |
Project Lightning Talk: A Deep Dive into Cilium Gateway API: The Future of Ingress Traffic Routing |
concept |
|
Networking |
6:02 |
| 147 |
CNCF Project Lightning Talks Welcome & Opening / CNCF项目闪电演讲 欢迎与开幕 - Jorge Castro, CNCF |
keynote |
|
|
1:53 |
| 148 |
KubeCon + CloudNativeCon + OSS + AI Dev China 2024 Highlight Reel |
concept |
|
AI & ML |
1:43 |
| 149 |
Beyond Memory Encryption: Accelerate Confidential Computing Lan... W. Zhang, K. Lu, R. Hao & X. Dong |
concept |
|
|
20:18 |