Track Overview | 会议专题概述
KubeCon + CloudNativeCon 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 software development lifecycle, platform engineering, operations, security, networking, service mesh, observability, emerging technologies, and the overall cloud native experience.
Click on a track to learn more!
KubeCon + CloudNativeCon 的议程分为不同的主题和目标，以确保与会者能够专注于与他们的兴趣和专业知识相关的主题。每个议程都会深入探讨云原生技术的不同方面，从面向新手的基础概念到面向资深专业人士的高级话题。通过分离不同的议程，与会者可以高效地浏览会议程序，并深入了解特定领域，如软件开发生命周期、平台工程、运营、安全、网络、服务网格、可观测性、新兴技术以及整体的云原生体验。
点击议程主题以了解更多！
Cloud Native Novice | 云原生新手
The Cloud Native Novice track at KubeCon covers foundational concepts across multiple domains through introductory presentations, including core cloud native networking, containerized workload storage management, initial security practices, application development, and community engagement.
Who should attend?
This track is best suited for individuals who are new to Cloud Native, including students and those in the early stages of their careers.
What will you learn?
Attendees can expect to learn foundational concepts across multiple domains in cloud native computing. This includes core cloud native networking concepts, managing storage for containerized workloads, understanding initial security activities for cloud native architectures, developing cloud native applications, and opportunities for contributing to cloud native communities.
KubeCon 的 Cloud Native Novice 议程涵盖多个领域的基础概念，通过入门演讲介绍核心云原生网络、容器化工作负载存储管理、基础安全实践、应用程序开发以及社区参与等内容。
谁应该参加？
该议程最适合云原生领域的新手，包括学生和职业生涯早期的人员。
你将学到什么？
与会者可以期待学习云原生计算中多个领域的基础概念。这包括核心云原生网络概念、容器化工作负载的存储管理、云原生架构的基础安全活动、云原生应用程序的开发，以及为云原生社区做出贡献的机会。
SDLC | 软件开发生命周期
The SDLC (Software Development Lifecycle) track focuses on application development, continuous integration, and deployment strategies. It addresses the challenges and methodologies involved in developing and deploying cloud native applications, with insights into tools, runtimes, and techniques.
Who should attend?
This track is suitable for software developers, DevOps engineers, system architects, and anyone involved in the development, deployment, and management of cloud native applications.
What will you learn?
Attendees can expect to learn about various aspects of application development, continuous integration, and deployment strategies in the context of cloud native environments. They will gain insights into tools, runtimes, and techniques for building scalable and resilient applications, optimizing resource usage, and integrating with existing software development methodologies. Additionally, they will explore topics related to service discovery, inter-service communication, CI/CD pipelines, container builds, and delivering cloud native applications to deployment environments.
软件开发生命周期（SDLC）议程关注应用程序开发、持续集成和部署策略。它涵盖了开发和部署云原生应用程序所涉及的挑战和方法论，提供了有关工具、运行时和技术的见解。
谁应该参加？
这个议程适合软件开发人员、DevOps 工程师、系统架构师以及任何参与云原生应用程序开发、部署和管理的人员。
你将学到什么？
与会者可以期待在云原生环境中了解应用程序开发、持续集成和部署策略的各个方面。他们将深入了解工具、运行时和技术，以构建可扩展和具有弹性的应用程序，优化资源使用，并与现有的软件开发方法相结合。此外，他们还将探讨与服务发现、服务间通信、持续集成/持续交付流水线、容器构建以及将云原生应用程序交付到部署环境相关的主题。
Platform Engineering | 平台工程
Platform Engineering encompasses building and customizing cloud native platforms, automating infrastructure operations, and enhancing self-service workflows for developers. The track emphasizes the underlying components crucial for the Software Development Life Cycle (SDLC) and offers insights into developer platforms and integrations to enhance the cloud native development experience.
Who should attend?
This track is suitable for individuals involved in building and customizing cloud native platforms, automating infrastructure operations, and enhancing developer workflows within the context of the Software Development Life Cycle (SDLC). This may include platform engineers, DevOps professionals, infrastructure architects, and developers interested in improving the cloud native development experience.
What will you learn?
Attendees can expect to learn about various topics such as building and customizing cloud native platforms, automating infrastructure operations, and optimizing self-service workflows for developers. Specifically, they may gain insights into best practices for integrating cloud native projects, extending platform functionalities, and accelerating the velocity of software delivery through effective toolchain and workflow enhancements. Additionally, attendees may explore strategies for improving the overall cloud native development experience by leveraging advanced developer platforms and integrations.
平台工程包括构建和定制云原生平台、自动化基础设施操作以及增强开发者的自助式工作流程。该课程强调了对软件开发生命周期 (SDLC) 至关重要的基础组件，并提供了有关开发平台和集成的见解，以增强云原生开发体验。
谁应该参加？
这个议程适合参与构建和定制云原生平台、自动化基础设施操作以及在软件开发生命周期 (SDLC) 上增强开发者工作流程的个人。这可能包括平台工程师、DevOps 专业人士、基础架构架构师以及对改善云原生开发体验感兴趣的开发人员。
你将学到什么？
与会者可以期待学习各种主题，例如构建和定制云原生平台、自动化基础设施操作以及优化开发者的自助式工作流程。具体来说，他们可能会了解集成云原生项目的最佳实践、扩展平台功能以及通过有效的工具链和工作流程增强加速软件交付速度的见解。此外，与会者还可以探索通过利用先进的开发平台和集成来改善整体的云原生开发体验的策略。
Operations + Performance | 运维+性能
Operations + Performance covers operationalizing cloud native projects, improving performance, and addressing runtime challenges, offering insights into areas like autoscaling, high availability, performance optimization, operators, and cluster reliability.
Who should attend?
This track is intended for individuals responsible for administering, maintaining, and operating cloud native technologies, including administrators, SREs, and DevOps professionals.
What will you learn?
Attendees can expect to gain expertise in operationalizing cloud native projects, improving performance and reliability of cloud native architectures, and addressing runtime challenges. Specifically, they will learn about autoscaling, high availability, performance optimization, operators, and reliability of cloud native clusters.
运维与性能课程涵盖了将云原生项目运作化、改善性能以及解决运行时挑战，并提供了关于自动扩展、高可用性、性能优化、运维人员以及集群可靠性等领域的见解。
谁应该参加？
这个议程适用于负责管理、维护和操作云原生技术的个人，包括管理员、SRE（Site Reliability Engineers）和DevOps 专业人员。
你将学到什么？
与会者可以期待在将云原生项目运作化、改善云原生架构的性能和可靠性，以及解决运行时挑战方面获得专业知识。具体来说，他们将学习有关自动扩展、高可用性、性能优化、运维人员和云原生集群可靠性的内容。
Security | 安全性
The Security track delves into multiple security facets of cloud native environments, including threat modeling, identity management, multi-tenancy, confidential computing, and vulnerability management. It also covers topics such as security education, zero trust concepts and tooling, and supply chain considerations, along with insights from security audits or incident post-mortems.
Who should attend?
This track is intended for those interested in cloud native security, including developers, DevOps engineers, security professionals, architects, and anyone involved in designing, implementing, or securing cloud native applications and infrastructure.
What will you learn?
Attendees will learn about various security aspects specific to cloud native environments, including threat detection, security education, identity and credential management, multi-tenancy, confidential computing, vulnerability management, and more. They will also gain insights into tactics and techniques for defending and designing secure cloud native architectures, managing credentials and identities effectively, implementing zero trust concepts and tooling, considering supply chain security, and learning from security audits or incident post-mortems.
安全课程深入探讨了云原生环境中的多个安全方面，包括威胁建模、身份管理、多租户、机密计算和漏洞管理。它还涵盖了安全教育、零信任概念和工具、供应链考虑以及来自安全审计或事故事后分析的见解。
谁应该参加？
这个议程适合对云原生安全感兴趣的人，包括开发人员、DevOps 工程师、安全专业人员、架构师以及任何参与设计、实施或保护云原生应用程序和基础设施的人员。
你将学到什么？
与会者将学习与云原生环境相关的各种安全方面，包括威胁检测、安全教育、身份和凭证管理、多租户、机密计算、漏洞管理等。他们还将深入了解保护和设计安全云原生架构的策略和技术、有效管理凭证和身份、实施零信任概念和工具、考虑供应链安全，以及从安全审计或事故事后分析中获取的见解。
AI + ML
The AI + ML track explores cutting-edge AI and ML advancements in cloud native settings, providing insights into managing data models, deploying ML algorithms, and optimizing workflows with topics like MLOps and GPU utilization in Kubernetes.
Who should attend?
This track is suitable for professionals in AI, ML, data science, and AI/ML platform operations.
What will you learn?
Attendees can expect to learn about the latest advancements and best practices in AI and ML within cloud native environments, including innovative applications, tools, and techniques for effective implementation. Topics covered include managing data models, implementing AI algorithms, deploying ML models in cloud native environments, and optimizing workflows with topics like MLOps, AIOps, GPU utilization with Kubernetes, and more.
AI + ML课程探索在云原生环境中的前沿人工智能和机器学习进展，提供关于管理数据模型、部署机器学习算法以及优化工作流的见解，涉及MLOps和Kubernetes中的GPU利用等主题。
谁应该参加？
这个议程适合从事人工智能、机器学习、数据科学以及人工智能/机器学习平台运营的专业人士。
你将学到什么？
与会者可以期待学习关于在云原生环境中人工智能和机器学习的最新进展和最佳实践，包括创新的应用、工具和技术以有效实现目标。涉及的主题包括管理数据模型、实施人工智能算法、在云原生环境中部署机器学习模型以及通过主题如MLOps、AIOps、Kubernetes中的GPU利用率等优化工作流。
Connectivity | 连通性
The Connectivity track explores networking technologies, edge computing, telco applications, and service mesh deployment in cloud native environments.
Who should attend?
This track is suitable for individuals interested in the network engineering and telecommunications domain.
What will you learn?
Attendees will learn about topics such as OSI Layer 4/7 service meshes, load balancing, network security, and automation for deploying and managing service mesh technologies in production.
连接性课程探索在云原生环境中的网络技术、边缘计算、电信应用和服务网格部署。
谁应该参加？
这个议程适合对网络工程和电信领域感兴趣的人。
你将学到什么？
与会者将学习诸如OSI第4/7层服务网格、负载均衡、网络安全以及用于在生产环境中部署和管理服务网格技术的自动化等主题。
Data Processing + Storage | 数据+处理+存储
The Data Processing + Storage track focuses on data and storage management in cloud native environments, addressing scalability challenges and efficient management techniques.
Who should attend?
Individuals interested in data processing, storage, database management, and scalability would benefit most from attending this track.
What will you learn?
Attendees will learn about topics such as data streaming, containerized databases, volume provisioning, and workflow optimization for robust storage solutions in cloud native environments.
数据处理 + 存储课程专注于云原生环境中的数据和存储管理，解决可扩展性挑战和高效管理技术。
谁应该参加？
对数据处理、存储、数据库管理和可扩展性感兴趣的个人将从参加这个课程中获益最多。
你将学到什么？
与会者将学习诸如数据流处理、容器化数据库、卷供应等主题，以及在云原生环境中为稳健的存储解决方案优化工作流程。
Observability | 可观测性
The Observability track explores methodologies and projects related to instrumenting, collecting, processing, storing, querying, and correlating metrics, logging/events, trace spans, and workload profiling within Kubernetes environments. It also addresses challenges in observability, including tooling, interoperability, and the management of alerting rules, thresholds, and policies.
Who should attend?
This track is suitable for anyone interested in observability within Kubernetes environments, including developers, DevOps engineers, system administrators, and anyone involved in managing or monitoring workloads in Kubernetes clusters.
What will you learn?
Attendees of this track will learn about methodologies and projects for instrumenting, collecting, processing, storing, querying, curating, and correlating metrics, logging/events, trace spans, and observational profiling of workloads within Kubernetes environments. They will also gain insights into good practices for meaningful alerting, queries, and operational dashboards, as well as tools and interoperability solutions for observability challenges, and strategies for managing alerting rules, thresholds, and policies.
可观测性议程探索与在Kubernetes环境中的工具化、收集、处理、存储、查询和相关度量、日志/事件、跟踪范围和工作负载剖析相关的方法论和项目。它还解决了可观测性中的挑战，包括工具化、互操作性以及警报规则、阈值和策略的管理。
谁应该参加？
这个议程适合任何对 Kubernetes 环境中的可观测性感兴趣的人，包括开发人员、DevOps 工程师、系统管理员，以及任何参与管理或监视 Kubernetes 集群中工作负载的人。
你将学到什么？
这个议程的与会者将学习在 Kubernetes 环境中对指标、日志/事件、跟踪范围和工作负载的仪表化、收集、处理、存储、查询、策划和相关性分析的方法论和项目。他们还将获得关于有意义的警报、查询和操作性仪表板的良好实践见解，以及应对可观测性挑战的工具和互操作性解决方案，以及管理警报规则、阈值和策略的策略。
Emerging + Advanced | 新兴和先进技术
The Emerging + Advanced track explores cloud native research, emerging technologies, high-performance computing, and advanced concepts in cloud native computing. It welcomes research papers, early-stage technical concepts, proof-of-concept projects, and highly specialized or niche topics, providing a platform for discussions on cutting-edge advancements in cloud native technology and research computing.
Who should attend?
Attendees interested in staying at the forefront of cloud native technology, including researchers, academics, developers, engineers, and anyone seeking insights into emerging technologies and advanced concepts in cloud native computing, would benefit from attending this track.
What will you learn?
Attendees can expect to learn about the latest advancements in cloud native technology, including insights into emerging technologies, high-performance computing for specialized workloads, and advanced cloud native computing concepts. They’ll gain knowledge about cloud native research and academia, as well as early-stage technical concepts, proof-of-concept projects, and highly specialized or niche topics in the field.
新兴 + 高级课程探索云原生研究、新兴技术、高性能计算以及云原生计算中的高级概念。它欢迎研究论文、早期技术概念、概念验证项目以及高度专业化或专业领域的话题，为讨论云原生技术和研究计算的尖端进展提供了一个平台。
谁应该参加？
对于希望保持在云原生技术前沿的与会者，包括研究人员、学者、开发人员、工程师，以及任何寻求洞察云原生计算中新兴技术和高级概念的人来说，参加这个课程将是有益的。
你将学到什么？
与会者可以期待学习关于云原生技术最新进展的内容，包括新兴技术的见解、用于专业工作负载的高性能计算，以及高级的云原生计算概念。他们将了解云原生研究和学术领域的知识，以及早期技术概念、概念验证项目和领域中的高度专业化或专业话题。
Cloud Native Experience | 云原生体验
The Cloud Native Experience track covers a broad spectrum of topics, including community building, the business value of CNCF technologies, starting Cloud Native startups, and sharing cloud native misadventures.
Who should attend?
This track would be beneficial for individuals interested in cloud native technologies, community building, startup initiatives, and learning from shared experiences within the cloud native community.
What will you learn?
Attendees can expect to learn about various aspects of the cloud native experience, including strategies for building and supporting cloud native communities, insights into the business value of CNCF technologies, tips for starting cloud native startups, and lessons learned from shared misadventures in the cloud native realm.
云原生体验议程涵盖了广泛的主题，包括社区建设、CNCF 技术的商业价值、开展云原生创业以及分享云原生的不幸经历。
谁应该参加？
这个议程对于对云原生技术、社区建设、创业倡议以及从云原生社区的共享经验中学习感兴趣的个人都将是有益的。
你将学到什么？
与会者可以期待学习云原生体验的各个方面，包括建立和支持云原生社区的策略、CNCF 技术的商业价值见解、创办云原生初创企业的技巧，以及从云原生领域的共享不幸经历中得到的教训。
Open Source Summit
Open Source Summit is the premier gathering for open source developers, technologists, and community leaders to collaborate, share information, solve problems, and advance open source innovation, fostering a sustainable open source ecosystem and serving as the central hub for open source code and community contributors.
Who should attend?
These sessions are ideal for open source developers, technologists, community leaders, and anyone interested in collaborating, sharing knowledge, and contributing to open source projects and initiatives.
What will you learn?
Attendees can expect to learn about the latest trends, technologies, and best practices in the open source community. They’ll gain insights into various open source projects, tools, and methodologies, learn about emerging technologies and their applications, and engage in discussions on topics such as community building, open source governance, licensing, and sustainability. Additionally, they’ll have the opportunity to network with peers, collaborate on projects, and contribute to the advancement of the open source ecosystem.
Open Source Summit 是开源开发者、技术专家和社区领导者的首要聚会，旨在促进他们合作、分享信息、解决问题、推进开源创新，培育可持续的开源生态系统，并作为开源代码和社区贡献者的中心枢纽。
谁应该参加？
这些议程非常适合开源开发者、技术专家、社区领袖，以及任何对合作、分享知识和为开源项目和倡议做出贡献感兴趣的人士。
你将学到什么？
与会者可以期待学习开源社区中最新的趋势、技术和最佳实践。他们将深入了解各种开源项目、工具和方法论，了解新兴技术及其应用，并参与讨论诸如社区建设、开源治理、许可和可持续性等话题。此外，他们还将有机会与同行建立联系、合作项目，并为推动开源生态系统的发展做出贡献。
AI_Dev
AI_dev is a global gathering of developers exploring open source generative AI and machine learning, driven by the belief that open source fuels innovation in AI, aiming to ignite discussions, foster collaborations, and shape the trajectory of open source AI, with attendees joining hands-on sessions and technical discourse to push the boundaries of AI possibilities.
Who should attend?
These sessions are ideal for software developers and engineers passionate about open source AI, from beginners to seasoned experts, machine learning engineers bridging theory with real-world applications, AI researchers seeking to share insights, open source contributors looking to collaborate and grow, data scientists interpreting vast datasets, and AI ethics and governance experts dedicated to responsible AI evolution.
What will you learn?
Attendees will engage in hands-on sessions to gain actionable knowledge about open source AI and ML, collaborate with a global network of developers to share experiences and diverse coding approaches, and gain early access to the latest tools, frameworks, and best practices to stay ahead in the rapidly evolving tech landscape. They’ll also contribute to pivotal discussions shaping the future of open source AI projects, playing an active role in steering the community’s direction and focus.
AI_Dev是一个全球开发者聚集的盛会，旨在探索开源生成式人工智能和机器学习，秉持着开源推动人工智能创新的信念，旨在激发讨论、促进合作、塑造开源人工智能的发展轨迹。与会者将参加实践性的研讨会和技术讨论，推动人工智能的可能性边界。
谁应该参加？
这些课议程常适合对开源人工智能充满热情的软件开发人员和工程师，从初学者到经验丰富的专家，将理论与现实应用相结合的机器学习工程师，希望分享见解的人工智能研究者，寻求合作和成长的开源贡献者，解释海量数据的数据科学家，以及致力于负责任人工智能发展的人工智能伦理与治理专家。
你将学到什么？
与会者将参与实践性的研讨会，获得有关开源人工智能和机器学习的可操作知识，与全球开发者网络合作，分享经验和多样化的编码方法，并提前获取最新工具、框架和最佳实践，以保持领先地位在快速发展的技术领域。他们还将参与至关重要的讨论，塑造开源人工智能项目的未来方向，积极参与引导社区的发展方向和焦点。
