
Discover how Kubernetes Operators can automate database management and serve as virtual DBAs, handling deployment, monitoring, high availability, and upgrades in cloud-native environments.

Discover how to implement efficient, cost-effective stream data processing using Kubernetes-native technologies while ensuring resilience and scalability in cloud-native environments.

Discover how to implement Federated Machine Learning with Kubernetes for privacy-preserving model training across edge devices, enabling efficient image classification and scaled computations.

Discover how to achieve 50%+ power savings in edge data centers using K8s-compatible Workload Allocation Optimizer (WAO), featuring real-world implementation across 200+ servers and sustainable computing practices.

Discover how to optimize edge computing using Akri and WebAssembly for efficient IoT device management, data processing, and serverless applications in Kubernetes environments.

Discover how a global shipping company implemented Kubernetes on ocean vessels, addressing unique challenges of edge computing at sea while managing distributed clusters and intermittent connectivity.

Master troubleshooting techniques for the OpenTelemetry Operator in Kubernetes, covering installation challenges, auto-instrumentation issues, and collector deployment solutions for confident implementation.

Discover how The New York Times developed their Internal Developer Platform, focusing on user-centric design, feedback integration, and strategic feature rollout while balancing simplicity with customization.

Discover how Canada Life modernized their platform infrastructure, transitioning from on-premise to cloud-based solutions using Amazon EKS, addressing scalability, security, and observability challenges while enhancing user experience.

Explore the evolution from no-code to full-code approaches in Kubernetes platform engineering, examining real-world lessons and impacts on developer experience, testing, and operational stability.

Master the fundamentals of deploying and managing Large Language Models on Kubernetes, covering essential concepts from basic architecture to practical implementation strategies for training and serving.

Master building ML pipelines using Kubeflow's components, from key considerations to best practices, and learn effective implementation strategies for scaling machine learning projects.

Discover how to deploy a Kubernetes-based data lake using open source tools, from initial setup to running a complete prototype platform on your local machine.

Discover how Nutanix enhances Azure workload migrations, enables data insights, and leverages Azure Arc for Kubernetes to strengthen enterprise cloud implementations.

Discover how Veeam Data Cloud enhances Azure and Microsoft 365 data protection through AI-powered features, comprehensive backup solutions, and automated management for enterprise resilience.

Discover how eBPF and Cilium enable efficient multicast networking in Kubernetes clusters, exploring implementation techniques, challenges, and solutions for pod-to-pod multicast delivery.

Dive into advanced Kubernetes networking testing strategies, exploring Linux primitives and efficient testing methods without cluster dependencies for CNIs, kube-proxy, and service meshes.

Discover how to optimize Kubernetes network performance for cloud gaming using DSCP markings and traffic shaping techniques to manage latency, prevent noisy neighbors, and ensure quality gameplay for thousands of players.

Dive into Kubernetes Topology Aware Routing's evolution, implementation, and practical applications, focusing on the new TrafficDistribution field and its impact on service management across clusters.

Discover KubeEdge's architecture and real-world applications in edge computing, from smart cities to industrial IoT, while exploring its integration with Kubernetes for efficient edge workload management.

Discover how to optimize Kubernetes resource management through service profiling, utilizing historical patterns for efficient workload scheduling and improved cluster performance.