| 1 |
From Model Serving To Distributed Inference: How Llm-d Evolves AI Platforms on… K. Yan & L. He |
case study |
|
AI & ML |
30:51 |
| 2 |
Keep Cloud Native Moving: Building Japan's Platform for Open... - Jonathan Bryce & Chris Aniszczyk |
concept |
|
|
25:51 |
| 3 |
Designing a Hybrid AI Platform on Kubernetes - Aoi Kamide, NTT DOCOMO BUSINESS, Inc. |
concept |
|
AI & ML |
29:58 |
| 4 |
Beyond the DC Walls: Building a Nationwide GPU Fabric With KubeVirt and Wide-Area… K. Sato & J. Li |
concept |
|
AI & ML |
29:32 |
| 5 |
Architecting Secure Agentic Workflows on Kubernetes: A Financial Sector… V. Caldeira & M. Foster |
concept |
|
|
30:38 |
| 6 |
Who's Using That GPU? Identity-Aware Access Control for Kubernetes GPU… P. ONeill & K. Kushwaha |
concept |
|
AI & ML |
26:38 |
| 7 |
Conformance for Inference: How We Reduced Bad Deploys on a GPU Platform - Aditya Soni & Hrittik Roy |
case study |
|
AI & ML |
30:30 |
| 8 |
The Road To Cilium: Migrating 150+ Kubernetes Clusters at Airbnb - Yifei Sun, Airbnb |
case study |
Airbnb |
Networking |
25:31 |
| 9 |
CoHDI: A CNCF Sandbox Project for Dynamic Hardware Composability in Kubernetes - Naoki Oguchi |
concept |
|
|
29:31 |
| 10 |
What Is a Virtual Power Plant (VPP) ? : Green Tech and the Modernization of the Grid - L. Malcom |
concept |
|
|
30:09 |
| 11 |
Beyond Wasm: How Dynamic Modules Let You Extend Envoy Proxy in Go, Rust, or… R. Agrawal & T. Yoneda |
concept |
|
Networking, Serverless & runtimes |
26:17 |
| 12 |
Breaking the Single-Network Barrier: A Cross-Domain Look at… L. Jouin & S. Seetharaman & S. Qasmi |
concept |
|
|
30:59 |
| 13 |
Pluggable Interception: Using ExtAuthz and ExtProc in gRPC Using XDS - Pawan Bhardwaj, Google |
concept |
|
|
25:56 |
| 14 |
Image-Based Bare-Metal Provisioning With Metal3.io, Cluster API and… K. Khan & G. Vasudevan |
concept |
|
|
24:19 |
| 15 |
Is Your Kubernetes Disaster Recovery Actually Ready? - Saiyam Pathak & Saloni Narang |
concept |
|
Storage & data, Reliability & operations |
29:51 |
| 16 |
Maximizing Launch Reliability: Controlled Lift-off for Reliable Application Startup on… H. Hayakawa |
concept |
|
Reliability & operations |
30:22 |
| 17 |
Score-Driven Multi-Cluster Management: An Evaluation Framework for… K. Takeuchi & J. Banerjee |
concept |
|
|
29:36 |
| 18 |
Running OpenSearch at Scale in High-Traffic Gaming Systems - Siddharth Vijay, Baazi Games |
case study |
Baazi Games |
|
28:01 |
| 19 |
Dynamic Modules in Envoy Gateway: API Design, Safety, and Operability - K. Kimura & H. (Robin) Zhao |
concept |
|
Networking |
26:30 |
| 20 |
SIG API Machinery in the Era of AI: Updates - Federico Bongiovanni, Google Cloud |
concept |
|
AI & ML |
29:17 |
| 21 |
WG-Batch Updates: What’s New and What Is Next? - Michał Woźniak & Yuki Iwai |
concept |
|
|
30:10 |
| 22 |
Behind the CNCF IAM Whitepaper: AuthN & AuthZ in Cloud Native Systems - Y. Tabata & H. Wada |
concept |
|
|
25:49 |
| 23 |
From User To Contributor: A Quick Guide To Kubectl & Kustomize - Yugo Kobayashi & Maciej Szulik |
case study |
|
CI/CD & GitOps |
31:35 |
| 24 |
Beyond Translation: The Journey of Building the Japanese Kubernetes SIG… A. Takahashi & J. Okabe |
case study |
|
|
25:18 |
| 25 |
Topology-Aware Scheduling for AI Training & Inference With Kueue - Michał Woźniak & Wei Huang |
concept |
|
Autoscaling & performance, AI & ML |
29:50 |
| 26 |
The Great Doubt: What Building an AI Agent Taught Us About Trust - Nicole van der Hoeven |
concept |
|
AI & ML |
30:19 |
| 27 |
Shared Yet Isolated at Scale: Building Multi-Tenant Inference Platform on… Y. Hiraki & Y. Tanaka |
case study |
|
Platform engineering, AI & ML |
27:57 |
| 28 |
Shared GPU Scheduling & Proactive Autoscaling: A Production Blueprint for 1000+… J. Kim & R. Jelveh |
concept |
|
Autoscaling & performance, AI & ML |
31:19 |
| 29 |
One Binary, Two Ecosystems: Embedding Prometheus Exporters With OCB - Kyle Eckhart & Arthur Sens |
concept |
|
Observability |
30:48 |
| 30 |
OTel Meets Wasm: Rethinking OpenTelemetry Collector Extensibility - Kotaro Inoue & Tsuzuki Tsuchiya |
concept |
|
Observability, Serverless & runtimes |
29:32 |
| 31 |
Repurposing OpenTelemetry Traces as Test Data: Breaking the Cost Barrier in System… Y. Fujikane |
case study |
|
Observability, Cost & efficiency |
30:51 |
| 32 |
Designing for High-cardinality Metrics - Walther Lee & Aleksandr Krivoshchekov, Reddit |
concept |
|
Observability |
23:13 |
| 33 |
From Statsd To OpenTelemetry: Atlassian's Metrics Platform Migration… I. Grace Endozo & F. Vazirnia |
case study |
|
Observability |
28:52 |
| 34 |
Standardizing Industrial IoT Observability With OpenTelemetry - Alolita Sharma, Apple |
concept |
|
Observability, Edge & IoT |
28:16 |
| 35 |
AuthZEN in Practice: Standardizing Authorization for Cloud Native Platforms and Agents - Y. Tabata |
concept |
|
|
30:15 |
| 36 |
Container Forensics for Kubernetes: Building an Evidence Pipeline With Open Source… J. Wu & P. Garg |
concept |
|
|
29:11 |
| 37 |
Sealed for All: Multi-Party Confidential Computing, No Trust - Ryota Hashimoto & Takahiro Kambara |
concept |
|
|
28:08 |
| 38 |
Runtime Security at Scale With EBPF: Hybrid Detection and Root Cause… Y. Krishna Kota & R. Waghare |
case study |
|
Security, Networking |
29:05 |
| 39 |
Scalable Security and Compliance in the Age of AI - Eddie Knight, Revanite |
concept |
|
Security, AI & ML |
28:06 |
| 40 |
SBOMit: Making SBOMs Accurate With Attestations - Marco De Vincenzi & Justin Cappos, NYU |
concept |
|
|
32:04 |
| 41 |
OpenTelemetry Celebrates Graduation and the Next Era of Agentic... - Alolita Sharma & Ted Young |
concept |
|
Observability |
3:48 |
| 42 |
Large-Scale Edge Management with Kubernetes: The Tech Behind Stable Operation of... - Ryota Yonekura |
keynote |
|
Edge & IoT |
3:21 |
| 43 |
What is a Virtual Power Plant (VPP) ? : Green Tech and the Modernization of the Grid- LeRenzo Malcom |
concept |
|
|
4:33 |
| 44 |
How CNCF Projects United Two Countries' Engineers to Solve AI's Power-and-Land Problem - Kazuki Sato |
concept |
|
AI & ML |
2:48 |
| 45 |
Navigating the Identity Abyss in the AI‑Native Era - Yuichi Nakamura, Hitachi |
concept |
|
AI & ML |
9:10 |
| 46 |
Infinite Agents, Finite Kubernetes - Mohammad Mikal Bin Amrul Halim Gan, Softbank Corp. |
concept |
|
|
3:20 |
| 47 |
The Next Evolution of Kubernetes: GPU-Centric Infrastructure for AI Workloads - Takao Indoh, Fujitsu |
concept |
|
AI & ML |
3:11 |
| 48 |
Building a Multi-Tenant AI Platform with the CNCF Ecosystem - Aya Igarashi, Preferred Networks, Inc. |
concept |
|
Platform engineering, AI & ML |
9:49 |
| 49 |
How Subaru Accelerated AI Model Development for Next-Generation EyeSight...- Ryoji Kobayashi, Subaru |
concept |
|
AI & ML |
4:16 |
| 50 |
From 5 to 1,300+ Clusters: Declarative Scaling for Private Kubernetes - Shota Yoshimura |
concept |
|
Autoscaling & performance |
2:41 |
| 51 |
Out of the Box, at Multi-Region Scale: How Hyundai Scales Its Platform - Jaewoo Choi, Hyundai |
case study |
Hyundai |
Autoscaling & performance, Platform engineering |
2:48 |
| 52 |
Where Will Cloud Native Take You? - Jeffrey Sica, Cloud Native Computing Foundation |
concept |
|
|
12:37 |
| 53 |
1 Year, 15 Certs, a Raspberry Pi Home Lab: How I Became a Golden Kubestronaut - Yu Misaki |
tutorial |
|
|
2:58 |
| 54 |
Take the First Step, Grow with Cloud Native Community Japan - Ziyi Xie, NEC Solution Innovators |
concept |
|
|
4:56 |
| 55 |
Taming Billions of Rows: Data Lifecycle Management Lessons From a Cloud Native Database… R. Kadyrov |
case study |
|
Storage & data |
28:08 |
| 56 |
Sponsored Demo: MCP Auth Demo: CIMD With Keycloak - Tatsuya Kurosaka, Hitachi, Ltd. |
concept |
|
|
16:55 |
| 57 |
Sponsored Demo: Secure, Portable, Operable: A Strategy for Modern Services - G. Schiano Lomoriello |
concept |
|
|
19:40 |
| 58 |
⚡Lightning Talk: From First Contribution To Maintainer: An OSS Journey Inside Youki - Yusuke Sakurai |
case study |
|
|
5:27 |
| 59 |
⚡Lightning Talk: 1 Year, 15 Certs, Zero Kubernetes at Work: How I Became a Golden… Y. Misaki |
case study |
Work |
|
5:11 |
| 60 |
⚡Lightning Talk: Learning Kubernetes From Logs: Building a Foundation for Future… K. Ishii |
concept |
|
Observability |
5:12 |
| 61 |
⚡Lightning Talk: How Writing a Cluster Inventory API Plugin Led Me To Maintainership - Kahiro Okina |
concept |
|
|
5:03 |
| 62 |
Project Lightning Talk: Lima in 5 Minutes: From Containers To AI Sandboxing - Ansuman Sahoo |
concept |
|
AI & ML |
6:46 |
| 63 |
Project Lightning Talk: Youki: What's New and What's Next? - Yuta Nagai, CyberAgent Inc. |
concept |
|
|
4:43 |
| 64 |
Project Lightning Talk: Spiderpool Unlocks Fine-Grained RDMA Observability for AI Inference - W. Lan |
concept |
|
Observability, AI & ML |
4:30 |
| 65 |
Project Lightning Talk: Longhorn: What's New & What's Next for Cloud Native Persistent… D. Mohan |
concept |
|
|
4:50 |
| 66 |
Project Lightning Talk: Kairos: Immutable OS and Lifecycle Management for Kubernetes… W. Rizzo |
concept |
|
|
4:22 |
| 67 |
Project Lightning Talk: CoHDI: Dynamic Hardware Composition for AI‑Era Kubernetes… N. Oguchi |
concept |
|
AI & ML |
4:31 |
| 68 |
Project Lightning Talk: New Frontiers for OpenTelemetry - A Roadmap for the Future - Ted Young |
concept |
|
Observability |
5:19 |
| 69 |
Project Lightning Talk: What’s New in K0s: Lightweight Kubernetes Without Compromise - Prithvi Raj |
concept |
|
Edge & IoT |
5:44 |
| 70 |
Project Lightning Talk: Argo CD at Scale: 5 Features You Should Not Miss! - Nitish Kumar, Akuity |
case study |
Akuity |
CI/CD & GitOps |
5:31 |
| 71 |
A Practical, Research‑Backed Introduction To Cloud‑Native Kernel‑Bypass Networking - K. Yasukata |
concept |
|
Networking |
31:20 |
| 72 |
Changing the Engine Mid-Flight: Zero-Downtime Ceph Upgrades - Cuong Nguyen, Viettel Group |
case study |
Viettel Group |
Storage & data |
28:32 |
| 73 |
Running Wasm Inside Your Storage Cluster With CSI and Gateway API - Ho Kim & SangJoon Park |
concept |
|
Networking, Storage & data, Serverless & runtimes |
29:25 |
| 74 |
Detecting Compromised CI With eBPF and Cilium Tetragon - Liz Rice, Isovalent at Cisco |
concept |
|
Networking |
32:59 |
| 75 |
AIOps: (near) Zero-Touch Production Rollout Fixes - Kevin Dubois, IBM & Carlos Sanchez, Adobe |
concept |
|
|
30:47 |
| 76 |
User Namespaces in Production: Enabling Root in Containers With RWX - Kohei Sugihara & Toru Komatsu |
case study |
Preferred Networks |
|
30:59 |
| 77 |
Beyond Single-Cluster Limits: Scaling GPU Workloads Across Kubernetes With… K. Das & E. Bayramova |
concept |
|
Autoscaling & performance, AI & ML |
22:18 |
| 78 |
From Experiment To Enterprise: Scaling an AI Agent for Code Review - Adam Phan |
case study |
|
Autoscaling & performance, AI & ML |
27:29 |
| 79 |
Manufacturing Alerts To ReActive Agents: Self-Evolving AI Agents on K8S for Predictive… S. Moon |
concept |
|
AI & ML |
25:48 |
| 80 |
Sustainability by Design: Leveraging DRA for Energy-Efficient… S. Choochotkaew & F. Kundattil |
concept |
|
Cost & efficiency |
21:11 |
| 81 |
Kube-scheduler-evaluator: Evaluating Kubernetes Schedulers at Hyperscaler… R. Bannai & H. Yabuuchi |
case study |
Hyperscaler |
|
25:21 |
| 82 |
How To Evolve Your LLM Self-Hosting Platform: A Practical Guide To Adopting… S. Omura & Y. Zhan |
case study |
|
AI & ML |
33:42 |
| 83 |
Longhorn: Intro, Deep Dive and Q&A - Derek Su, SUSE |
concept |
|
|
30:44 |
| 84 |
SIG Scheduling Update: Transition From Pod To Workload Scheduling - Kensei Nakada & Yuki Iwai |
case study |
|
Autoscaling & performance |
31:12 |
| 85 |
Identities and Authentication for Your Agents With Keycloak - Takashi Norimatsu & Alexander Schwartz |
concept |
|
|
25:04 |
| 86 |
Open Source Meets Production MaaS: GMI Inference Engine and Karmada for Global AI… X. Wang |
concept |
|
AI & ML |
25:11 |
| 87 |
Kubeflow 2026 State of the Union: Orchestrating the Full ML Lifecycle - Y. Pal & V. Rodriguez Sosa |
concept |
|
AI & ML |
30:47 |
| 88 |
Rook: Intro and Deep Dive With Ceph - Satoru Takeuchi & Dan van der Ster |
concept |
|
Storage & data |
30:58 |
| 89 |
A Decade of Cilium Around the World - Liz Rice, Isovalent at Cisco & Hiroki Hanada, Cybozu, Inc. |
concept |
|
Networking |
27:45 |
| 90 |
From 165 Days To 30 Minutes: Breaking Enterprise Silos With… A. Nishijima & M. Okamura & K. Yamamoto |
case study |
|
|
23:56 |
| 91 |
From Tool Calls To Context Fabric: Building AI-Native Observability for… D. Choudhary & D. Kapur |
case study |
|
Observability |
29:19 |
| 92 |
I Tested 7 So You Only Need 1: Your First Gateway API Migration in 5 Minutes - Hoon Jo |
case study |
|
Networking |
24:10 |
| 93 |
Your First Kubernetes Contribution: A Hands-on Guide To Documentation… I. Y. Choi & W. Hwang |
tutorial |
|
|
1:07:47 |
| 94 |
Ground Control To Cloud Native: Safe Deployments for a Growing SAR… U. Gurugubelli & M. Arai |
concept |
|
|
30:20 |
| 95 |
Beyond Power and Magic: Forging Stable eBPF Tools for the Post-Demon King Era - K. Tada & C. Gaggini |
concept |
|
Networking |
27:45 |
| 96 |
Lessons From Five+ Years of Fluent Bit: Building a Global-Scale Observability Agent - Hiroshi Hatake |
case study |
Fluent Bit |
Observability |
25:10 |
| 97 |
Vulnerability Response for Large Open Source Projects - Jo Guerreiro & Charline Voinot, Grafana Labs |
concept |
|
Observability, Security |
27:45 |
| 98 |
Turning Platform Engineering Work Into Business Value Leadership Understands - D. Cook & S. Forster |
concept |
|
Platform engineering |
26:49 |
| 99 |
Evolving Platform Primitives: Beautiful Platforms With Kro - Jakob Möller & Adam Crowder |
concept |
|
Platform engineering |
29:12 |
| 100 |
Scaling in Kubernetes Safely on On-Prem KaaS Across 1,300+ Clusters and 40,000+ Nodes - S. Yoshimura |
concept |
|
Autoscaling & performance |
28:14 |
| 101 |
OCI Is Not Git: Rethinking the GitOps Source of Truth for a Kubernetes-Native… M. Crenshaw & R. Lieb |
concept |
|
CI/CD & GitOps |
29:13 |
| 102 |
How Community Infrastructure Helped Grow Taiwan’s Open Source Contributors - C. Kuo & C. Yang |
concept |
|
|
28:04 |
| 103 |
Beyond the Code: Fostering Shared Vision and Technical Leadership in CNCF Communities - Kevin Wang |
concept |
|
|
30:06 |
| 104 |
Sandbox for Agentic Application With Cloud Native Stack - Xu Wang, Ant Group & Yu Hu, JAPAN AI |
concept |
|
AI & ML |
29:22 |
| 105 |
The State of Cloud Native: The Shift Towards AI - Katie Gamanji, Apple / CNCF |
keynote |
|
AI & ML |
22:47 |
| 106 |
Towards Sustainable Multi-Cluster Management in Real-World Academic Infrastructure - J. Mok & C. Im |
case study |
|
|
29:27 |
| 107 |
Don't Start With 500 Clusters: Patterns in Scaling Multi-Cluster Kubernetes… N. Bora & M. Morrison |
case study |
|
Autoscaling & performance, CI/CD & GitOps, AI & ML, Reliability & operations |
31:34 |
| 108 |
The Evolution of GitOps in Platform Engineering - Artem Lajko, iits |
concept |
|
CI/CD & GitOps, Platform engineering |
29:11 |
| 109 |
KubeCon + CloudNativeCon Japan 2026: Yokohama Highlights |
concept |
|
|
1:00 |