
Explore automating Kubernetes networking through hands-on experimentation with generative AI, using Ollama for containerized LLM to configure CNI, with practical examples and a dash of mad scientist humor.

Discover how to effectively manage AI and ML operations using service mesh, focusing on GPU workloads, multitenancy, and scaling in Kubernetes environments for reliable and observable ML applications.

Dive into CoreDNS architecture in Kubernetes, exploring DNS request lifecycle, performance optimization, and multi-cluster resolution through Airbnb's implementation case study.

Discover how to implement autoscaling for Apache Kafka on Kubernetes, exploring key features like auto-rebalancing, node pools, and tiered storage for optimal cloud-native deployment and cost efficiency.

Discover how OpenCost Plugins revolutionizes cost monitoring by enabling measurement and visualization of any cost metric alongside traditional Kubernetes and cloud provider expenses through the FOCUS spec.

Discover how to build a secure LLM gateway using Envoy Proxy's architecture, exploring credential management, prompt guarding, content safety, and usage controls for efficient AI model deployment.

Discover the fundamentals of TLS and mTLS security protocols, their real-world applications, and implementation strategies for zero-trust environments using practical examples from Linkerd.

Discover how to implement cluster-wide network security using AdminNetworkPolicy in Kubernetes, featuring Mastercard's approach to enforcing granular controls and achieving PCI compliance through multi-tenant isolation.

Explore WasmCloud's multi-tier security model for distributed WebAssembly applications, focusing on deny-by-default modes, capability declaration, and pluggable security services implementation.

Discover the CNCF Storage TAG ecosystem, including project reviews, whitepapers on performance, disaster recovery, and database patterns, plus guidance for implementing cloud native storage solutions.

Discover how to effectively find, analyze, and share cloud native artifacts using Artifact Hub, exploring its features for managing over 20 different artifact types and improving project discoverability.

Comprehensive Azure fundamentals course covering cloud concepts, core services, security, pricing, and support. Includes hands-on projects and practical examples for AZ-900 exam preparation.

Explore GPU offloading in WebAssembly for AI workloads, discussing integration challenges and potential solutions to enhance security and performance in cloud environments.

Explore how WASI .2 and WebAssembly Component Model revolutionize cloud-native tech, enabling secure, portable, and interoperable software components across diverse computing environments.

Explore the journey of implementing OpenTofu registry, a highly available SaaS with low maintenance requirements, and learn about its innovative design for open source project management.

Explore writing Tofu plugins in Rust using gRPC, showcasing a prototype framework and sample provider with advanced features, and learn about publishing via GitHub releases.

Explore Thanos' multi-tenancy features for scalable metrics solutions. Learn implementation strategies, best practices, and performance monitoring techniques for centralized multi-tenant monitoring setups.

Discover how to leverage Azure OpenAI's language models to build innovative and cost-effective generative AI applications with enterprise-grade security and reliability on the Azure platform.

Discover how Azure AI Foundry enables AI integration across applications and business solutions, revolutionizing development capabilities and unlocking new technological possibilities.

Master essential strategies for protecting Microsoft 365 environments using the NIST 2.0 framework, understanding cyber threats, and implementing effective response protocols for organizational security.

Discover how to leverage CluedIn with Microsoft Purview, Fabric, and Azure AI Studio to implement smarter data governance using proactive copilots and AI agents for faster, high-quality data management.