
Dive into Kubernetes cluster optimization techniques and discover how to diagnose and solve underutilization issues, improve binpacking efficiency, and design better performing clusters at scale.

Discover how to build robust data streaming platforms using open-source tools like Strimzi, Kafka, and Confluent, while applying core software engineering principles for optimal architecture and performance.

Dive into real-world strategies for migrating cloud workloads to ARM architecture, exploring performance optimization, cost reduction, and solutions for mixed CPU environments.

Dive into Open Policy Agent (OPA), exploring policy decision-making across cloud native stacks, from application authorization to Kubernetes admission, with insights into v1.0 features and updates.

Master the implementation of secure Internet Egress gateways using Istio and Envoy, focusing on fine-grained access policies, multi-tenant capabilities, and robust traffic monitoring for enhanced network security.

Dive into GPU resource management in Kubernetes, exploring Container Device Interface (CDI), device plugin architecture, and various GPU sharing mechanisms for optimized AL/ML workload performance.

Discover techniques for developing resilient, distributed systems locally with zero downtime deployment, using live coding demonstrations and practical examples for modern cloud-native applications.

Explore a novel risk assessment model for evaluating open-source dependencies' health and sustainability, with practical insights using Kubernetes as a case study.

Discover how to build and implement high-speed distributed storage using NVMe-oF, achieving 2M+ IOPS with TCP mode, and integrate it with Kubernetes for efficient block storage management.

Discover how WebAssembly and Arm64 architecture enable sustainable cloud computing through efficient serverless applications, reduced power consumption, and optimized performance per watt.

Discover how to supercharge your Internal Developer Platform by integrating WebAssembly and Dapr, enhancing developer experience and reducing complexity in Kubernetes environments.

Dive into WebAssembly deployment with an interactive workshop exploring wasmCloud, WASI-virt, and wasm-tools for flexible, cross-platform application development and deployment strategies.

Dive into Podman Desktop's advanced container management features and AI capabilities, mastering efficient containerization and Kubernetes orchestration for modern development workflows.

Discover how to effectively deploy and manage machine learning workloads on Kubernetes using Kubeflow, exploring key benefits and practical implementation strategies.

Discover key principles for building scalable generative AI platforms using Kubernetes, covering platform evolution, deployment strategies, risk management, and community-driven development approaches.

Discover how NVIDIA leverages cloud-native technologies to build and deliver AI solutions, exploring their contributions to CNCF projects and vision for advancing the AI ecosystem.

Dive into real-world challenges and solutions for managing large-scale AI infrastructure on Kubernetes, focusing on GPU optimization, hardware reliability, and observability tools for foundation model training.

Discover how to efficiently manage multicluster batch jobs using Kueue, exploring automatic capacity finding, job dispatching, and monitoring across various environments including on-prem, cloud, and hybrid setups.

Dive into Kubernetes infrastructure maintenance, security enhancements, and collaborative development strategies while exploring key achievements and future directions in cloud-native technologies.

Explore the future landscape of cloud native security, examining emerging challenges like AI system protection while understanding why current stability might precede a new wave of innovation.

Discover a framework for evaluating and optimizing microservices scalability, focusing on backend challenges, data system impacts, and practical solutions for maintaining performance as applications grow.