KubeCon + CloudNativeCon India
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Call For Proposals (CFP)

Submit Your Talk

KubeCon + CloudNativeCon gathers adopters and technologists from leading open source and cloud native communities from 11-12 December, 2024. Join our current graduated, incubating, and sandbox projects as the community gathers to further the education and advancement of cloud native computing.

Submissions are due by Sunday, 25 August at 11:59pm India Standard Time (UTC+5:30)

For any questions regarding the CFP process, please email cfp@cncf.io.

dates to remember

  • CFP Closes: Sunday, 25 August at 11:59pm India Standard Time (UTC+5:30)
  • CFP Notifications: Monday, 30 September by 6:00 PM PDT (UTC-7)
  • Schedule Announcement: Wednesday, 2 October
  • Slide upload deadline to Sched.com: Wednesday, 4 December
  • Event Dates: 11-12 December, 2024

Program Co-Chairs

Divya Mohan Headshot

Divya Mohan

Divya is a Principal Technology Advocate at SUSE, advocating for and contributing to its projects. She is a Kubernetes documentation maintainer and a co-chair for the SIG Community under the Bytecode Alliance. As one of the KCNA exam creators and a lead for the Asian chapter of the CHAOSS Project, she is invested in making technical communities & technologies more accessible & inclusive.

Nikhita Raghunath Headshot

Nikhita Raghunath

Nikhita is a staff software engineer at VMware by Broadcom and a core maintainer of the Kubernetes project. She is the vice chair of the CNCF Technical Oversight Committee overseeing all technical matters of the cloud native ecosystem. She has also won the CNCF Top Committer Award for her technical contributions. She is currently the technical lead for a Kubernetes Special Interest Group (SIG) and was also a member of the Kubernetes Steering Committee in the past. Nikhita has even been featured in Business Insider as one the ‘top 21 developers transforming Silicon Valley’.

Suggested Topics

What’s New?

After taking feedback from the community, we have expanded and consolidated tracks to optimize the attendee and submitter experience. Below are the most recent updates:

  • Connectivity – Combined Networking + Edge + Telco and Service Mesh topics to become a new track
  • AI + ML – Renamed to remove Data Processing and Storage as topics for this track
  • Data Processing + Storage – Moved from the former AI/ML + Data Processing + Storage track to become an independent track

New Topic Descriptions
  • Connectivity – This track merges Networking + Edge + Telco with Service Mesh topics, offering a deep dive into networking technologies, edge computing, telco applications, and service mesh deployment in cloud native environments. Ideal for professionals in network engineering, and telecommunications domain, this track covers OSI Layer 4/7 service meshes, load balancing, network security, and automation, providing practical insights into deploying and managing service mesh technologies in production.
  • AI + ML – This track covers the latest advancements and best practices in AI and ML within cloud native environments, exploring innovative applications, tools, and techniques for effective implementation. It’s designed for professionals in AI, ML, data science, and AI/ML platform operations, offering insights into 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.
  • Data Processing + Storage – This track covers managing data and storage systems in cloud native settings, tackling challenges like scalability and efficient management techniques. Professionals in data processing, storage, database management, and scalability will find valuable insights here. Attendees will delve into topics such as data streaming, containerized databases, volume provisioning, and optimizing workflows for robust storage solutions in cloud native environments.
  • Platform Engineering – This track covers essential topics such as building and customizing cloud native platforms, automating infrastructure operations, and improving self-service workflows for developers. It caters to platform engineers, DevOps professionals, infrastructure architects, and developers interested in these areas. Attendees will gain insights into integrating cloud native projects, extending platform functionalities, and accelerating software delivery velocity through effective toolchain and workflow enhancements.
  • Operations + Performance – This track covers operationalizing cloud native projects, optimizing performance, and tackling runtime challenges. Ideal for administrators, SREs, and DevOps professionals, it delves into autoscaling, high availability, performance optimization, operators, and ensuring cluster reliability. Attendees will leave with enhanced skills in administering, maintaining, and operating cloud native technologies, with a focus on reliability and performance optimization.
  • SDLC (Software Development Lifecycle) – This track focuses on application development, continuous integration, and deployment strategies in cloud native environments, equipping attendees with tools and techniques for building resilient applications. Targeting software developers, DevOps engineers, and system architects, this track covers topics like service discovery, CI/CD pipelines, and container deployment across different environments, offering valuable insights for cloud native application development and management.
  • Cloud Native Novice – Content best suited for individuals who are new to Cloud Native and relevant to those in early career including Students. This covers foundational concepts across multiple domains through introductory presentations. Attendees to these presentations can expect to learn core cloud native networking concepts, managing storage for containerized workloads, understanding initial security activities for cloud native architectures, developing cloud native applications, how to start contributing to cloud native communities, and so much more.
  • Security – Content that covers the security specific aspects of cloud native from detections to threat modeling, security education, identity and credential management, multi-tenancy, confidential computing, vulnerability management in cloud native, and other topics. Attendees to these presentations can expect to learn tactics and techniques in defending and designing cloud native architecture secure from attacks at all portions of the architecture and SDLC, managing credentials and identities, zero trust concepts and tooling, supply chain considerations, and learn from security audits of projects or incident post-mortems.
  • Observability – Content that covers methodologies and projects for instrumenting, collecting, processing, storing, querying, curating, and correlating metrics, logging/events, trace spans, and general observational profiling of workloads. Attendees to these presentations can expect to learn good practices for meaningful alerting, queries, and operational dashboards, tooling and interoperability for observability challenges, and how to manage alerting rules definitions, thresholds and policies.
  • Emerging + Advanced – Content that covers cloud native research & academia, emerging technologies, high performance computing for specialized workloads, and highly advanced cloud native computing concepts. Cloud native research and academic papers are welcome to be presented within this track alongside very early stage technical concepts, proof of concept projects, advancement of research computing, and highly specialized advanced or niche topics. Attendees interested in the latest advancements in cloud-native technology(the underlying needs associated with sustaining research and academic workloads on cloud native infrastructure, deploying and managing computationally intensive workloads, and highly advanced or in depth technical content relating to cloud native) will likely be drawn to this track.
  • Cloud Native Experience – Content that deals with all the following aspects of the cloud native experience such as building & supporting a cloud native community, the business value of CNCF technologies, lightning talks, building Cloud Native startups, and openly sharing our cloud native misadventures. Attendees can expect to gain a range of insights and knowledge about building communities, the value of CNCF technologies, and learn from misadventures shared by the community.
AI_dev Topics
  • Foundations + Frameworks + Tools for Machine Learning – This track is perfect for experts in machine learning, data science, and AI development who are passionate about advancing interoperability. Potential speakers should have experience with frameworks like ONNX and PMML, and a strong understanding of creating seamless pipelines across diverse ML platforms. We invite submissions on cutting-edge topics, including Graph Neural Networks, differentiable programming, and the latest tools for ensuring future-proof ML deployments. Additionally, those with expertise in API integration and cross-platform collaboration are encouraged to share their insights on enhancing the interconnectedness and compatibility of machine learning systems.
  • MLOps + GenOps + DataOps – This track is ideal for experts in MLOps, DataOps, and GenOps, focusing on the management and scaling of AI systems. Topics of interest include GitOps for ML models, AIOps, scaling Kubernetes for generative models, and end-to-end workflows with MLFlow and KubeFlow. Key areas also cover model observability, data lineage, model compression, and multi-cloud interoperability. Professionals driving innovation in AI operations are encouraged to share their expertise.
  • Generative AI + Creative Computing – This track covers the latest advancements in generative AI, including text-to-image synthesis, rapid AI app development, and multi-modal learning. Key topics include NeRFs for immersive media, generative algorithms for drug discovery, AI-generated art, and plugins for large language models. Discussions will also focus on open-source generative AI, human-in-the-loop models, audio synthesis, scaling models, and mitigating harms. Ideal for innovators in generative AI and creative computing.
  • Autonomous AI + Reinforcement Learning – This track focuses on key advancements in autonomous AI and reinforcement learning, including imitation learning, AI safety, and evolutionary algorithms. Topics also cover multi-agent systems, enterprise automation, large language models for autonomous behaviors, and open-source simulations with O3DE. Additionally, it explores reinforcement learning from human feedback. Ideal for experts in AI autonomy.
  • Natural Language Processing + Computer Vision – This track covers advancements in NLP and computer vision. Topics include emotional intelligence in AI, cross-lingual NLP, and automatic speech recognition. Key areas also focus on subword algorithms, building tokenizers, AI-driven content summarization, 3D vision for robotics and AR/VR, image-to-image translation, human pose estimation, and real-time object detection. Ideal for experts in NLP and computer vision.
  • Edge + Distributed AI – This track invites experts in edge and distributed AI to share their insights and innovations. Topics of interest include federated learning and privacy-preserving AI, optimizing resource-constrained environments, and distributed deep learning with tools like Horovod. Submissions are also welcome on AI applications in network edge computing and real-time decision-making. This track is ideal for those working on decentralized, efficient AI systems and looking to showcase their work in this cutting-edge field.
  • Data Engineering + Management – This track is perfect for professionals interested in the latest advancements in data engineering and management. We invite submissions on real-time analytics and stream processing, vector stores, similarity search, and retrieval-augmented generation. Topics also include data imputation techniques, meta-learning for data augmentation, and the growing role of data marketplaces and exchanges. Additionally, discussions on data mesh and decentralized data architecture are welcome. This track is ideal for experts looking to share innovative solutions and strategies in managing and engineering data.
  • Community + Ecosystem Building – This track invites speakers passionate about building strong AI communities and ecosystems. Topics of interest include collaborative open-source AI projects, the role of hackathons and competitions in AI education, and the impact of AI in emerging economies. We also welcome discussions on public-private partnerships in AI R&D, AI literacy through education and outreach programs, and responsible legislation for open-source AI. Ideal for those involved in community engagement, education, and policy-making in the AI space, this track offers a platform to share experiences and strategies.
  • Responsible AI: Ethics + Security + Governance in AI – This track invites speakers to discuss the critical aspects of ethics, security, and governance in AI. Key topics include defining responsible AI frameworks, explainable AI (XAI), human-in-the-loop systems, and adversarial methods for LLMs. We welcome submissions on fairness-aware machine learning, responsible data practices, and the ethical implications of synthetic media and deepfakes. Additionally, talks on algorithmic accountability, data security, privacy-preserving techniques, and the legal implications of generative AI are encouraged. Ideal for those focused on ethical AI development and policy, this track offers a platform to share insights and best practices.

Submission Types

  • Session Presentation: 35 minutes, 1-2 speaker(s) presenting on a topic
  • Panel Discussion: 35 minutes of discussion amongst 3 to 5 speakers
  • Lightning Talk: A brief 5-minute presentation, maximum of 1 speaker
  • Tutorial: 90-minute, in-depth, hands-on presentation with 1-5 speakers

End User Companies

End user companies utilize cloud native technologies internally without offering external services. Examples include Adidas, Apple, and Spotify. Cloud native vendors, such as AWS and Red Hat, are not end users.

To determine if your company is an end user, please refer to this end user list.

If unsure, please email cfp@cncf.io for assistance.

Important Notes

  • All speakers are required to adhere to our Code of Conduct. We also highly recommend that speakers take our online Inclusive Speaker Orientation Course.
  • Panel submissions must include the names of all participants in the initial submission to be considered. In an effort to promote speaker diversity, CNCF does not accept submissions with 3+ speakers or panels that do not contain a gender diverse speaker, and speakers must not all be from the same company.
  • Complimentary Passes For Speakers – One complimentary pass for the event will be provided for each accepted speaker.
  • Avoid sales or marketing pitches and discussing unlicensed or potentially closed-source technologies when preparing your proposal; these talks are almost always rejected due to the fact that they take away from the integrity of our events, and are rarely well-received by conference attendees.
  • CNCF will not select submissions that have already been presented at a previous Linux Foundation event within the past year. If your submission is similar to a previous talk, please explain how this version differs.
  • You are allowed to be listed as a speaker on a maximum of two proposals submitted to the CFP, regardless of the format. If you are listed on more than two, we will contact you to remove yourself from any additional proposals.
  • You may only be selected to speak on one panel and one non-panel session per event.
  • All accepted speakers are required to submit their slides prior to the event.

Preparing to Submit Your Proposal

While it is not our intention to provide you with strict instructions on how to prepare your proposal, we hope you will take a moment to review the following guidelines that we have put together to help you prepare the best submission possible. To get started, here are three things that you should consider before submitting your proposal:

  1. What are you hoping to get from your presentation?
  2. What do you expect the audience to gain from your presentation?
  3. How will your presentation help better the ecosystem?

There are plenty of ways to give a presentation about projects and technologies without focusing on company-specific efforts. Remember the things to consider that we mentioned above when writing your proposal and think of ways to make it interesting for attendees while still letting you share your experiences, educate the community about an issue, or generate interest in a project.

Writing Your Proposal

Your session title will be the main point of reference for attendees to decide if they want to attend your talk, so choose it carefully. The title should accurately reflect the content of your talk and comply with The Linux Foundation’s Inclusive Language Initiative. Please use title case when inputting your title.

In the session description, make the most of your opportunity to pitch your talk to the program committee by emphasizing its problem, contribution, and relevance. Don’t forget technical details, but keep the big picture in mind. Your proposal’s description should be focused, detailed, and comply with The Linux Foundation’s Inclusive Language Initiative. It will appear on the website schedule if accepted, so ensure it’s error-free, uses full sentences, and written in the third person. This description can make or break an attendee’s decision to attend your talk, so provide enough information to aid their choice, and be concise. The competition for presentation slots is high, so a well-crafted, engaging abstract will improve your chances of acceptance.

Use this opportunity to elaborate on why your presentation is important and why attendees should care. Explain how your content will benefit the ecosystem or share any other relevant information with the co-chairs and program committee. We understand that this can be a challenging question to answer, but like the abstract, the relevance of your presentation is crucial, and it’s as significant as the content in determining acceptance.

Please indicate whether your submission is a case study. In other words, is your submission a report of an organization’s implementation of something, such as a practice, a product, a system, a service, or combination thereof? The case study can be thought of as a real-world test of how the implementation works, and how well it works.

If you have presented this talk before within the past year at a CNCF or Linux Foundation event, please explain the significant differences between that presentation and the one you are proposing in your session description.

Please list all CNCF-hosted graduated, incubating, or sandbox software(s) as well as all open source projects that your presentation will be focused on if applicable.

Since the Program Committee reviews numerous proposals, additional resources can assist in assessing a speaker’s proficiency and presentation skills. Please provide a video or audio recording of a previous talk you have given. If you do not have any prior recordings of your talk, you may create a brief YouTube video of yourself speaking for a few minutes.

How to Give a Great Talk

We want to make sure submitters receive resources to help put together a great submission and if accepted, give the best presentation possible. To help with this, we recommend viewing seasoned speaker Dawn Foster’s in-depth talk: Getting Over Your Imposter Syndrome to Become a Conference Speaker – Dawn Foster, VMware

Have More Questions? First Time Submitting? Don’t Feel Intimidated

CNCF events are an excellent way to get to know the community and share your ideas and the work that you are doing and we strongly encourage first-time speakers to submit talks for our events. In the instance that you aren’t sure about which track to submit under, reach out to us and we will be more than happy to provide you guidance.

How to submit

First time using Sessionize?

Sessionize is a cloud-based event content management software designed to be intuitive and user-friendly. If you need guidance, please review how to submit your session for an event to see step-by-step instructions and helpful screenshots.

Submitting on behalf of somebody else?

While speakers ordinarily submit their sessions themselves, it’s also common for them to have someone else do it in their name. Submitters can choose to submit as someone else and must fill out the necessary speaker fields, but the session submission process is otherwise identical to when the session is submitted by the speaker themselves.

sample submission

Example title

OCI, CRI, ??: Making Sense of the Container Runtime Landscape in Kubernetes

Example Description

You’ve probably heard about the OCI—a standardization effort to share a common definition for container runtime, image, and image distribution. Add to that the CRI (container runtime interface) in Kubernetes—designed to abstract the container runtime from the kubelet—and you may start to wonder what all these standards and interfaces mean for you in a Kubernetes world.

As of this year, a long list of runtimes, including CNCF projects containerd and cri-o, all implement the CRI. But did you know there are quite a few others? The unique number of CRI combinations is growing, all of which use the common OCI definitions for runtime and image interoperability.

But how would you decide which container runtime is right for you? Clearly each one has tradeoffs. This talk will help describe the current landscape and give you details on the why and how of each CRI implementation available today.

Example Benefits to the ecosystem

It is a repeating comment across the CNCF ecosystem that the number of choices for container runtime is confusing, especially for those who are newer to our ecosystem. Even for those who many have heard the names–Docker, containerd, cri-o–even they are curious as to the reasons why there are many varied runtimes available to implement the CRI interface for Kubernetes, and what is the history that brought us to this point.

This talk helps bring clarity to the container runtime landscape, and especially shows the interesting work being done in additional isolation technologies like gVisor, AWS Firecracker, and Kata containers and why that may be of value to consider for certain security or workload constraints.

In the end, especially as we have two major runtimes as CNCF projects, this talk hopefully brings a level of insight to practitioners, developers, and operators as to why clusters may choose various runtimes and how new features in Kubernetes like RuntimeClass are making it easier to support mixed clusters that can support the needs of workloads with different isolation features or requirements.

Submission Reviewer Guidelines

To help you further understand what is considered while the program committee and co-chairs are reviewing your proposal, please review the Submission Reviewer Guidelines.

Code of conduct

CNCF and its project communities are dedicated to providing a harassment-free experience for participants at our events. All submitters are required to abide by our Code of Conduct.

CFP questions

If you have any questions regarding the CFP process, please contact us at cfp@cncf.io.

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