Session Category
AI / ML
This category 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 who go beyond using provided AI tools and delve into bespoke 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, AgentOps, GPU utilization with Kubernetes, and more
Application Development
This category focuses on the latest practices in cloud native application development and optimizing the developer experience. Designed for software developers and cloud-native architects deploying applications to cloud native environments and the creators of developer-centric tools that keep them focused on software not infrastructure, it offers in-depth insights into architecting, coding, testing, building, and continuous integration (CI) and deployment (CD) of scalable cloud-native applications.
Attendees will explore best practices, architectural patterns, and cutting-edge tools from CNCF projects that streamline the development of complex distributed systems. This track emphasizes strategies for improving developer productivity, simplifying workflows, and enhancing the overall software creation process through innovative tooling and seamless integration of cloud native technologies
Connectivity
This category 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.
Data Processing + Storage
This category 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
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 session(s)
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
Operations + Performance
This category 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
Platform Engineering
This category 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
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
Others
If you believe your session doesn't fall into any of those categories or if you're not sure, set your category as Others