
Explore advanced techniques for exploiting managed Kubernetes clusters, including privilege escalation, lateral movement, and security control bypasses using cluster middleware and components.

Optimize GPU usage in Kubernetes clusters for AI/ML workloads. Explore hardware-level solutions, alternative schedulers, and application-layer improvements to maximize efficiency and resource utilization.

Explore Carvel's suite of composable tools for Kubernetes application management, from YAML templating to GitOps controllers. Learn how to enhance existing workflows or create end-to-end solutions.

Learn to manage GPUs in Kubernetes using the operator pattern, covering installation, scaling, lifecycle management, and monitoring. Explore NVIDIA GPU Operator for efficient AI/ML workload handling in Kubernetes clusters.

Explore the removal of in-tree cloud providers in Kubernetes, its challenges, solutions, and impact on the ecosystem. Learn about recent changes and steps for adopting external integrations.

Explore Kubernetes as a data platform: scalability, flexibility, and cost-effectiveness for data and AI/ML applications. Learn about ecosystem advances and alignment with data management trends.

Explore Kubernetes security vulnerabilities in system pods, focusing on misconfigurations that can lead to unauthorized access and data breaches. Learn about real-world exploit chains and mitigation strategies.

Explore the migration from JupyterHub to Kubeflow Notebook Controller, highlighting improved resilience, scalability, and user satisfaction in Kubernetes-native architecture.

Explore SpinKube, a cutting-edge cloud native technology, and its potential impact on Kubernetes ecosystems. Gain insights into innovative solutions for modern containerized applications.

Explore innovative techniques for running Kubernetes pods on SLURM, bridging cloud-native and HPC environments for enhanced computational workflows and resource management.

Insights from migrating legacy systems to Kubernetes: challenges, trade-offs, and lessons learned in evolving from bare-metal to managed cloud infrastructure with service mesh.

Explore cutting-edge Kubernetes and cloud native technologies at this one-day technical conference, featuring expert talks and networking opportunities in New York City.

Explore automated deployment of large AI models on Kubernetes, leveraging CRDs for seamless management and optimizing GPU utilization through preset configurations and auto-provisioning.

Explore NLP architectures on Kubernetes with Kubeflow, enhancing machine learning workflows and deployment efficiency in cloud-native environments.

Explore Carvel, a suite of composable tools for Kubernetes app deployment. Learn how these single-purpose tools enhance workflows and simplify the application development lifecycle.

Learn to implement Kubernetes operators using Java and Micronaut framework. Discover how to create cloud-native applications, custom resource definitions, and manage deployments in a Kubernetes cluster.

Explore how Kubernetes operators and CRDs can simplify platform engineering, reduce developer cognitive load, and create powerful abstractions for microservices and data products in cloud-native environments.

Explore how Kubernetes Operators and CRDs can be used to create higher-level abstractions in platform engineering, lowering cognitive load for developers and enabling self-service tools.

Explore multi-cloud, multi-cluster orchestration with Karmada in this CNCF Research End User Group session, focusing on advanced cloud native computing techniques and solutions.

Hands-on workshop demonstrating how to set up a Kubernetes cluster on AWS EKS, covering key features, best practices, and essential tips applicable to various cloud providers.

Explore Headlamp, a sleek Kubernetes web UI for efficient cluster management. Learn about real-time monitoring, resource management, and other powerful features to streamline your Kubernetes operations.