Track Overview
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!
Cloud Native Novice
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.
SDLC
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.
Platform Engineering
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.
Operations + Performance
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.
Security
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.
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.
Connectivity
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.
Data Processing + Storage
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.
Observability
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.
Emerging + Advanced
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.
Cloud Native Experience
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.
AI_dev
The AI_dev track delves into the intricate realm of open source generative AI and machine learning, igniting discussions, fostering collaborations, and shaping the trajectory of open source AI.
Who should attend?
This track is suitable to software developers and engineers, machine learning engineers, AI researchers, data scientists, AI ethics and governance experts, as well as active participants in the open source ecosystem, especially those involved in AI and ML projects, looking to collaborate, learn, and grow.
What will you learn?
Attendees can expect to gain deep technical knowledge through hands-on sessions on open source AI and ML, collaborate with a global network of developers, and stay ahead of the curve with early access to cutting-edge tools and frameworks. Attendees will also have the opportunity to contribute to discussions that shape the future of open source AI projects and influence the direction of the community.
Maintainer
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.
