
Explore cloud-native security essentials for Kubernetes, Docker, and Istio. Learn real-world lessons, audit findings, and best practices to identify and mitigate potential vulnerabilities in your infrastructure.

Master event-driven workload scaling using Kubernetes, KEDA, and Karpenter to handle high-traffic scenarios effectively. Learn strategies for efficient resource management and cost optimization in cloud environments.

Master dynamic credential management in Kubernetes using Vault Secrets Operator (VSO) to automate and secure workload authentication without modifying existing code.

Master essential security practices for deploying JavaScript applications in Kubernetes, covering containerization, multi-layered protection, control plane security, and network security best practices.

Master the deployment of Large Language Models on Kubernetes, enabling intelligent applications with chatbots for documentation interaction and operational tasks like anomaly detection.

Master robustness testing techniques for distributed systems through failure injection methods, focusing on Jespen framework principles and etcd's testing implementation for catching real-world scenarios and data consistency issues.

Discover how to build eBPF-powered observability solutions for sustainable computing, optimizing AI/ML workloads on Kubernetes to reduce energy consumption and environmental impact while maintaining performance.

Explore software-defined PCIe devices and their integration with OpenShift/Kubernetes platforms, focusing on networking, storage, and AI functions in composable infrastructure for efficient data management.

Explore dynamic GPU scaling in containerized environments using Composable Disaggregated Infrastructure (CDI), focusing on efficient resource allocation and energy optimization for AI workloads.

Discover how to optimize GPU training performance through distributed caching techniques, leveraging NVMe storage, GDS, and RDMA networks for enhanced data access and reduced GPU wait times.

Discover essential patterns and practices for building Internal Developer Platforms on Kubernetes, covering architecture, access control, multitenancy, and operational considerations for modern DevOps environments.

Explore Microsoft's Radius project, an open-source platform streamlining cloud-native development by enabling seamless collaboration between developers and platform engineers while ensuring operational best practices.

Discover how to automate network service provisioning and optimization with Crosswork Network Controller's intent-based system, featuring multivendor support, unified GUI, and streamlined service deployment capabilities.

Discover how to effectively manage Istio and service mesh deployments in enterprise environments, covering security, scaling, and GitOps integration with the Gloo Platform.

Discover how FortiWeb and FortiSOAR integrate to provide robust cybersecurity through API discovery, machine learning, and cloud technology, demonstrated via real-world scenarios including drone-based attacks.

Discover how Quantum Myriad's innovative all-flash scale-out storage system leverages microservices, Kubernetes, and NVMe optimization to deliver high-performance storage solutions for video and HPC workloads.

Discover how GKE Autopilot simplifies Kubernetes management by eliminating infrastructure complexities, allowing teams to focus on workloads while Google handles the underlying components and security concerns.

Discover how Google Cloud's AI Hypercomputer revolutionizes AI workload management with advanced GPUs, TPUs, and dynamic scheduling, enabling efficient, scalable, and sustainable enterprise AI solutions.

Discover how VMware's Private AI Foundation with NVIDIA streamlines AI development through automated infrastructure management, RAG capabilities, and simplified GPU resource allocation for enterprise applications.

Master unified management of modern and traditional workloads through VMware Cloud Foundation's integrated platform, featuring automated deployment, governance controls, and seamless infrastructure integration for enterprise-scale operations.

Discover how to optimize GPU resource allocation in Kubernetes using MetaGPU Device Plugin, enabling fractional GPU sharing and efficient scheduling for enhanced cluster performance.