Track Overview
KubeCon + CloudNativeCon + OpenInfra Summit + PyTorch Conference tracks are divided based on specific themes and objectives, ensuring attendees can focus on topics relevant to their interests and expertise. Each track delves into different aspects of cloud native technologies, ranging from foundational concepts for newcomers to advanced topics for seasoned professionals. By separating tracks, attendees can efficiently navigate through the conference program and deepen their understanding of specific areas such as AI and ML systems, platform engineering, security, observability, networking, hardware enablement, emerging technologies, and the overall cloud native experience.
Click on a track to learn more!
AI Infrastructure + Accelerators + Performance Engineering
The AI Infrastructure + Accelerators + Performance Engineering track focuses on the systems and techniques that power high-performance AI workloads, including GPU and heterogeneous hardware utilization, distributed training, runtime optimization, compilers, and kernel development for large-scale AI infrastructure.
Who should attend?
This track is ideal for infrastructure engineers, systems programmers, HPC specialists, and AI platform teams focused on maximizing performance and efficiency across GPU and heterogeneous hardware environments.
What will you learn?
Attendees will learn about techniques for optimizing AI workloads at the infrastructure level, including strategies for distributed training, GPU and accelerator utilization, runtime and compiler optimization, and kernel engineering. They will also gain insights into building and operating large-scale AI infrastructure and approaches to performance engineering for demanding production workloads.
AI + ML + Agentic AI + Data Systems
The AI + ML + Agentic AI + Data Systems track covers end-to-end AI and ML systems in cloud native environments, from training and inferencing to evaluation and production deployment. It explores data pipelines, retrieval and RAG architectures, agentic and tool-driven workflows, and generative and multimodal models, with a focus on real-world use cases across industries.
Who should attend?
This track is suitable for AI and ML engineers, data scientists, MLOps practitioners, and platform teams building or operating AI systems in production cloud native environments.
What will you learn?
Attendees can expect to learn about the full lifecycle of AI and ML systems in cloud native settings, including best practices for model training, inferencing, and evaluation; strategies for building robust data pipelines and RAG architectures; approaches to agentic and tool-driven workflows; and techniques for deploying generative and multimodal models at scale across a variety of industry use cases.
Application Development + Developer Experience
The Application Development + Developer Experience track explores the tools, frameworks, and practices that help developers build, test, and ship software more effectively in cloud native environments. It covers CI/CD pipelines, API design, developer workflows, and modern application architectures that improve productivity and reduce friction.
Who should attend?
This track is ideal for software developers, cloud native architects, and creators of developer tooling who want to improve how they build and deliver applications, streamline their workflows, and stay current with modern development practices.
What will you learn?
Attendees will learn best practices for building scalable cloud native applications and strategies for improving developer productivity through better tooling and workflow design. Topics include CI/CD pipeline optimization, API development, modern application architectures, and approaches to creating more effective and enjoyable developer experiences.
Cloud Infrastructure + Virtualization + Storage
The Cloud Infrastructure + Virtualization + Storage track addresses the core infrastructure layers of the cloud native stack, including private and hybrid cloud architectures, virtualization, container infrastructure, storage systems, and large-scale data platforms. It focuses on the foundational technologies that power modern cloud native deployments.
Who should attend?
Individuals interested in cloud infrastructure, virtualization, storage engineering, and data platform management would benefit most from attending this track, including infrastructure engineers, storage administrators, and cloud architects working on private and hybrid cloud environments.
What will you learn?
Attendees will learn about the infrastructure building blocks of cloud native environments, including private and hybrid cloud design, virtualization technologies, container infrastructure management, storage systems, and large-scale data platform operations. They will gain practical insights into building, optimizing, and maintaining the foundational layers that support cloud native workloads at scale.
Community + Open Source + Getting Started
The Community + Open Source + Getting Started track covers the human and organizational side of cloud native adoption, including open source project practices, community building, education, onboarding, documentation, governance, and the experiences that help individuals and organizations successfully adopt and contribute to open technologies.
Who should attend?
This track is beneficial for individuals who are new to cloud native technologies, those interested in open source community practices and governance, and anyone looking to deepen their understanding of how to contribute to and grow within the CNCF ecosystem — from students and career changers to experienced practitioners exploring new projects.
What will you learn?
Attendees can expect to learn about strategies for building and sustaining open source communities, best practices for project governance and documentation, and practical guidance for getting started with cloud native technologies. They will also gain insights into how individuals and organizations can engage meaningfully with the CNCF ecosystem and contribute to the broader open source community.
Emerging Technologies + Research + Advanced Topics
The Emerging Technologies + Research + Advanced Topics track provides a platform for new and exploratory work at the frontier of cloud native, infrastructure, and AI systems. It welcomes early-stage technologies, advanced architectures, proof-of-concept projects, and research that pushes the boundaries of what is possible in the cloud native ecosystem.
Who should attend?
Attendees interested in staying at the forefront of cloud native technology will benefit most from this track, including researchers, academics, engineers, and anyone eager to explore early-stage concepts, advanced architectures, and niche or highly specialized topics in cloud native, infrastructure, and AI systems.
What will you learn?
Attendees can expect to learn about cutting-edge advancements in cloud native technology, including insights into emerging research, early-stage technical concepts, and advanced architectures that are shaping the future of infrastructure and AI systems. These sessions offer a unique opportunity to engage with forward-looking ideas and explore the next generation of cloud native innovation.
Hardware Enablement + Diversification
Who should attend?
The Hardware Enablement + Diversification track addresses the challenges and opportunities of heterogeneous hardware in cloud native environments. Topics span multi-vendor accelerator support and portability, hardware-aware scheduling, DPU and SmartNIC offload, NUMA and high-bandwidth memory tuning, bare-metal lifecycle management, and rapid accelerator qualification for next-generation AI infrastructure.
This track is suited for infrastructure engineers, hardware architects, Kubernetes platform teams, and anyone working on heterogeneous CPU, GPU, DPU, and accelerator fleets — particularly those focused on multi-vendor portability, device plugin development, or large-scale AI infrastructure capacity planning.
What will you learn?
Attendees will learn about the techniques and tools for enabling and managing diverse hardware in cloud native environments, including topology-aware scheduling, device plugins and operators, DPU and SmartNIC offload strategies, NUMA and high-bandwidth memory optimization, and driver and lifecycle management for heterogeneous fleets. They will also explore approaches to multi-vendor accelerator portability and capacity planning for next-generation AI infrastructure.
Networking + Edge + Distributed Systems
The Networking + Edge + Distributed Systems track explores connectivity, service communication, edge computing, telco and network functions, and distributed system design for large-scale and latency-sensitive environments. It covers the networking technologies and architectural patterns that underpin modern cloud native infrastructure.
Who should attend?
This track is suitable for network engineers, telco specialists, distributed systems practitioners, and infrastructure architects working on connectivity, edge deployments, or large-scale service communication in cloud native environments.
What will you learn?
Attendees will learn about networking technologies and patterns for cloud native environments, including service mesh, load balancing, network security, and edge computing architectures. They will also explore telco and network function deployments, distributed system design principles, and strategies for managing connectivity in large-scale and latency-sensitive production environments.
Operations + Observability + Reliability
The Operations + Observability + Reliability track covers the practices and tools required to run cloud native systems confidently in production. Topics include monitoring, tracing, debugging, performance tuning, incident response, and the broader discipline of reliability engineering for modern distributed systems.
Who should attend?
This track is intended for SREs, DevOps engineers, platform operators, and system administrators responsible for maintaining the health, performance, and reliability of cloud native workloads in production environments.
What will you learn?
Attendees will gain practical knowledge of observability methodologies, including metrics, logging, tracing, and profiling within Kubernetes environments. They will also learn strategies for performance tuning, incident response, and reliability engineering, as well as approaches to building operational dashboards and alerting systems that support confident, sustainable production operations.
Platform Engineering + Cloud Native Architecture
Platform Engineering + Cloud Native Architecture covers the essential practices for designing, building, and operating cloud native platforms at scale. Topics include multi-tenancy, automation, fleet management, and the architectural patterns that support both application and AI workloads in modern cloud native environments.
Who should attend?
This track is designed for platform engineers, cloud architects, and DevOps professionals responsible for building and operating internal developer platforms and cloud native infrastructure, as well as those looking to improve automation and scalability across their environments.
What will you learn?
Attendees will learn how to design and operate scalable cloud native platforms, with a focus on automation, multi-tenancy, and fleet management. They will explore architectural patterns that support both traditional application workloads and AI systems, and gain practical strategies for improving platform efficiency and extensibility in production environments.
Security + Privacy + Trusted Computing
The Security + Privacy + Trusted Computing track examines how to protect infrastructure, applications, and AI systems in cloud native environments. It addresses cloud native security practices, confidential computing, software supply chain integrity, threat modeling, and privacy-preserving techniques, including considerations around independent innovation and trusted execution.
Who should attend?
This track is intended for security engineers, developers, DevOps professionals, and architects involved in designing, implementing, or securing cloud native applications, AI systems, and infrastructure — including those working on supply chain security, identity management, or confidential computing.
What will you learn?
Attendees will learn about security strategies specific to cloud native and AI environments, covering threat modeling, identity and credential management, multi-tenancy, confidential computing, and software supply chain security. They will also explore privacy-preserving techniques, zero trust architectures, and practical approaches to securing systems end-to-end in modern production environments.
Maintainer Track
The Maintainer Track focuses on direct updates from CNCF’s project maintainers, highlighting the latest developments, practical implementation strategies for new features, and the challenges they encounter.
Who should attend?
This track is ideal for users interested in the inner workings of CNCF’s projects, those looking to learn best practices for utilizing the latest features, and anyone who wants to provide feedback to the maintainers. Whether you’re a seasoned user or new to the community, your insights and experiences are invaluable to the ongoing success of these projects.
What will you learn?
Attendees will gain valuable insights into best practices for new features, learning about the latest developments and current challenges, while also exploring strategies for sustaining long-term project health and success. This track offers a unique opportunity to engage directly with maintainers, ask questions, and contribute to the ongoing growth and improvement of open source projects.
⚡ Lightning Talks
Lightning Talks are ideal for anyone interested in gaining quick insights into various aspects of cloud native technologies.
Who should attend?
Lightning Talks are beneficial for a wide range of individuals, including developers, system administrators, DevOps engineers, software architects, and anyone interested in Kubernetes and cloud native technologies. Whether you’re a seasoned professional looking for quick insights or a newcomer seeking inspiration, these talks provide valuable knowledge in a concise format, making them suitable for anyone eager to stay updated on the latest trends and best practices in the CNCF ecosystem.
What will you learn?
Attendees can expect to gain valuable tips, best practices, and innovative ideas in a short timeframe, enhancing their understanding and application of Kubernetes and other cloud native technologies.
