
Dive into CoreDNS's plugin architecture, exploring cloud vendor integrations, hybrid-cloud implementations, and hands-on plugin development with Golang for enhanced DNS service discovery.

Discover how SIG ContribEx drives Kubernetes' growth through contributor empowerment, workflow optimization, and community initiatives while maintaining project quality and sustainability.

Discover how Bloomberg leverages Karmada to manage multi-cluster GPU workloads, optimize resource utilization, and streamline AI model training across data centers with intelligent scheduling and high availability.

Dive into safe Custom Resource Definition (CRD) management in Kubernetes, covering version control strategies, schema modifications, and practical insights from real-world implementations.

Explore platform engineering principles and their impact on software architecture, focusing on effective platform design, SDLC integration, and key metrics for measuring developer experience.

Discover how using dedicated etcd instances can enhance Cilium's scalability in large Kubernetes clusters, exploring direct etcd API interaction and performance optimization techniques.

Discover how Uber implements robust multi-tenancy in Kubernetes, exploring isolation strategies, node pools, and namespace integration for managing multiple users while ensuring security and performance.

Discover proven strategies for seamless database migrations and architectural transitions using CNCF standards, featuring real-world examples of zero-downtime implementations and risk mitigation techniques.

Discover how to achieve zero-downtime Kubernetes cluster upgrades at scale, focusing on deployment methods, canary rollouts, and quick rollbacks while managing hundreds of clusters with 130+ services each.

Master best practices for deploying and managing LLM inference pipelines on Kubernetes, covering optimization techniques, security measures, and efficient pipeline management using tools like KServe.

Discover how Bloomberg optimizes GPU resource management across multiple clusters using Karmada, focusing on intelligent scheduling, high availability, and streamlined job submission for AI training.

Discover proven strategies and tools used by Kubernetes projects to eliminate test flakes and build robust, reliable continuous integration pipelines for consistent software delivery.

Discover practical approaches to Kubernetes security that balance compliance requirements with operational efficiency, focusing on risk reduction and platform functionality rather than perfect security scores.

Discover how Kubernetes security teams collaborate on CVE management, dependency vulnerabilities, and release processes while exploring future improvements for enhanced security visibility across the platform.

Discover how to optimize LLM performance through knowledge sharing systems, reducing processing delays and improving efficiency by enabling multiple LLMs to share cached information on Kubernetes.

Discover major KubeVirt advancements including VM rollout strategy, volume migration, and Application Aware Quota, plus upcoming features like DRA support and migration convergence improvements.

Master Kubernetes versioning complexities, storage versions, and feature gates to ensure smooth cluster upgrades and prevent downtime. Learn practical strategies for handling API changes and maintaining system stability.

Explore recent authorization advancements in Kubernetes, including CEL integration, selector-aware features, and potential RBAC enhancements for more dynamic runtime security controls.

Discover the key changes and preparation strategies for containerd 2.0, including new features, extension points, and backends for image operations while learning how to manage the upgrade process effectively.

Discover how Salesforce optimizes developer productivity through platform design, focusing on friction reduction, unified interfaces, and industry-standard tooling for faster deployment and efficient workflows.

Master Kubernetes Horizontal Pod Autoscaler (HPA) configuration using custom metrics beyond CPU and memory. Learn to implement dynamic scaling based on business-specific indicators like queue depth and throughput.