The Sched app allows you to build your schedule but is not a substitute for your event registration. You must be registered for KubeCon + CloudNativeCon Japan 2025 to participate in the sessions. If you have not registered but would like to join us, please go to the event registration page to purchase a registration.
Please note: This schedule is automatically displayed in Japan Standard Time (UTC+9:00). To see the schedule in your preferred timezone, please select from the drop-down menu to the right, above "Filter by Date." The schedule is subject to change and session seating is available on a first-come, first-served basis.
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Sponsor: Akamai Demo: Unleash AI apps with edge-native speed on Akamai Cloud Booth Number: G1
In order to facilitate networking and business relationships at the event, you may choose to visit a third party’s booth or access sponsored content. You are never required to visit third party booths or to access sponsored content. When visiting a booth or participating in sponsored activities, the third party will receive some of your registration data. This data includes your first name, last name, title, company, address, email, standard demographics questions (i.e. job function, industry), and details about the sponsored content or resources you interacted with. If you choose to interact with a booth or access sponsored content, you are explicitly consenting to receipt and use of such data by the third-party recipients, which will be subject to their own privacy policies.
In order to facilitate networking and business relationships at the event, you may choose to visit a third party’s booth or access sponsored content. You are never required to visit third party booths or to access sponsored content. When visiting a booth or participating in sponsored activities, the third party will receive some of your registration data. This data includes your first name, last name, title, company, address, email, standard demographics questions (i.e. job function, industry), and details about the sponsored content or resources you interacted with. If you choose to interact with a booth or access sponsored content, you are explicitly consenting to receipt and use of such data by the third-party recipients, which will be subject to their own privacy policies.
Sponsor: AWS Japan Demo: Streamline Kubernetes cluster management with Amazon EKS Auto Mode Booth Number: G9 Sponsor: F5 Demo: Automotive Use Case Demo: Managed Distributed Edge Apps and Connectivity Booth Number: G12
Sponsor: PagerDuty Demo: Booth Number: G3
In order to facilitate networking and business relationships at the event, you may choose to visit a third party’s booth or access sponsored content. You are never required to visit third party booths or to access sponsored content. When visiting a booth or participating in sponsored activities, the third party will receive some of your registration data. This data includes your first name, last name, title, company, address, email, standard demographics questions (i.e. job function, industry), and details about the sponsored content or resources you interacted with. If you choose to interact with a booth or access sponsored content, you are explicitly consenting to receipt and use of such data by the third-party recipients, which will be subject to their own privacy policies.
This demo introduces a practical implementation of authentication and authorization for a Model Context Protocol (MCP) server using Keycloak. It focuses on how the MCP server can securely handle client access requests. The implementation follows the principles of OAuth 2.1, demonstrating how Keycloak can issue and validate access tokens and support secure, standards-based communication between MCP clients and the MCP server. The demo highlights how open-source tools can be used to implement reliable and secure authorization flows for AI agents interacting with the MCP server. This demonstration is ideal for engineers and architects working on secure access control and protocol design for AI agent infrastructure.
In order to facilitate networking and business relationships at the event, you may choose to visit a third party’s booth or access sponsored content. You are never required to visit third party booths or to access sponsored content. When visiting a booth or participating in sponsored activities, the third party will receive some of your registration data. This data includes your first name, last name, title, company, address, email, standard demographics questions (i.e. job function, industry), and details about the sponsored content or resources you interacted with. If you choose to interact with a booth or access sponsored content, you are explicitly consenting to receipt and use of such data by the third-party recipients, which will be subject to their own privacy policies.
The rapid expansion of AI/ML necessitates scalable infrastructure for training and inference with diverse accelerators. Kubernetes and Google Kubernetes Engine (GKE) provide a robust platform to meet these demands. This session details key practices for AI/ML on Kubernetes, efficient accelerator management, large-scale distributed training, and optimized inference serving. We also introduce advanced GKE features to maximize performance. AI/ML engineers and MLOps professionals will gain practical knowledge on leveraging Kubernetes and GKE's AI infrastructure to accelerate innovation throughout the AI/ML development lifecycle.
In order to facilitate networking and business relationships at the event, you may choose to visit a third party’s booth or access sponsored content. You are never required to visit third party booths or to access sponsored content. When visiting a booth or participating in sponsored activities, the third party will receive some of your registration data. This data includes your first name, last name, title, company, address, email, standard demographics questions (i.e. job function, industry), and details about the sponsored content or resources you interacted with. If you choose to interact with a booth or access sponsored content, you are explicitly consenting to receipt and use of such data by the third-party recipients, which will be subject to their own privacy policies.
Sponsor: 3-shake Inc. Demo: Real-World Case Studies: Kubernetes SRE Practices by 3-shake Inc.'s Sreake Division Booth Number: G4 Sponsor: IOWN Global Forum Demo: Real-Time AI Analysis on Kubernetes Using IOWN Technology at EXPO2025 Booth Number: G10
In order to facilitate networking and business relationships at the event, you may choose to visit a third party’s booth or access sponsored content. You are never required to visit third party booths or to access sponsored content. When visiting a booth or participating in sponsored activities, the third party will receive some of your registration data. This data includes your first name, last name, title, company, address, email, standard demographics questions (i.e. job function, industry), and details about the sponsored content or resources you interacted with. If you choose to interact with a booth or access sponsored content, you are explicitly consenting to receipt and use of such data by the third-party recipients, which will be subject to their own privacy policies.
LY Corporation's services, which cater to one of Japan's largest user bases, are built upon a diverse set of on-premise foundations. These include Kubernetes clusters, virtual environments powered by OpenStack, and proprietary application platforms.
This presentation will delve into the architecture that ensures the stable operation of LY Corporation's private cloud and the accumulated knowledge from our past operational experience. Additionally, we will discuss our future outlook on further enhancing stability and efficiency.
In order to facilitate networking and business relationships at the event, you may choose to visit a third party’s booth or access sponsored content. You are never required to visit third party booths or to access sponsored content. When visiting a booth or participating in sponsored activities, the third party will receive some of your registration data. This data includes your first name, last name, title, company, address, email, standard demographics questions (i.e. job function, industry), and details about the sponsored content or resources you interacted with. If you choose to interact with a booth or access sponsored content, you are explicitly consenting to receipt and use of such data by the third-party recipients, which will be subject to their own privacy policies.
Platform Engineering (PE) bridges the gap between developers and operators to optimize productivity, enhance user experience, and accelerate the delivery of business value. Within PE, the Internal Developer Platform (IDP) serves as the primary interface for developers. In this session, we will demonstrate what an IDP can accomplish and how it contributes to achieving these goals. Additionally, we will introduce how AI-driven multimodal capabilities can transform IT operations and deliver sustainable efficiency gains. StageCrew:tm:, a cloud service developed by CTC, harnesses multimodal AI to revolutionize incident response—accelerating resolution speed, enhancing quality, and reducing reliance on individual experts. It also streamlines knowledge transfer and automates administrative tasks, such as report and documentation generation, freeing technical teams to focus on core development.
In order to facilitate networking and business relationships at the event, you may choose to visit a third party’s booth or access sponsored content. You are never required to visit third party booths or to access sponsored content. When visiting a booth or participating in sponsored activities, the third party will receive some of your registration data. This data includes your first name, last name, title, company, address, email, standard demographics questions (i.e. job function, industry), and details about the sponsored content or resources you interacted with. If you choose to interact with a booth or access sponsored content, you are explicitly consenting to receipt and use of such data by the third-party recipients, which will be subject to their own privacy policies.
Sponsor: Red Hat Demo: Deploying confidential containers on Red Hat OpenShift with ArgoCD & OCM Booth Number: G7
Sponsor: Splunk Demo: Booth Number: G13
In order to facilitate networking and business relationships at the event, you may choose to visit a third party’s booth or access sponsored content. You are never required to visit third party booths or to access sponsored content. When visiting a booth or participating in sponsored activities, the third party will receive some of your registration data. This data includes your first name, last name, title, company, address, email, standard demographics questions (i.e. job function, industry), and details about the sponsored content or resources you interacted with. If you choose to interact with a booth or access sponsored content, you are explicitly consenting to receipt and use of such data by the third-party recipients, which will be subject to their own privacy policies.
Sponsor: NS Solutions Demo: The Benefit of CloudHarbor, as told by the Golden Kubestronaut Booth Number: G2
In order to facilitate networking and business relationships at the event, you may choose to visit a third party’s booth or access sponsored content. You are never required to visit third party booths or to access sponsored content. When visiting a booth or participating in sponsored activities, the third party will receive some of your registration data. This data includes your first name, last name, title, company, address, email, standard demographics questions (i.e. job function, industry), and details about the sponsored content or resources you interacted with. If you choose to interact with a booth or access sponsored content, you are explicitly consenting to receipt and use of such data by the third-party recipients, which will be subject to their own privacy policies.
