This post documents the architecture and implementation of a production-ready MCP (Model Context Protocol) server that wraps Google's Gemini CLI, enabling Claude Code to leverage Gemini as an adjacent AI for deep analysis, code review, and structured AI-to-AI debates.
claude-flow enables orchestrated multi-agent swarms within Claude Code, allowing complex tasks to be broken down and executed in parallel by specialized agents. This post explores the architecture, practical patterns, and production configurations for AI-to-AI collaboration.
Extend Kubernetes functionality with CustomResourceDefinitions and the Operator pattern
CustomResourceDefinitions (CRDs) allow you to extend the Kubernetes API with custom resource types, enabling you to treat domain-specific objects as native Kubernetes resources. Operators combine CRDs with custom controllers to automate complex application management tasks using Kubernetes-native patterns. For the CKA exam, you'll need to inspect existing CRDs, understand their structure, query custom resources, and troubleshoot CRD-related issues. This guide covers CRD anatomy, version management, validation, and practical operator concepts to help you master Kubernetes extensibility.
CKA Exam Relevance: Cluster Architecture, Installation & Configuration (25% of exam weight)
Deep dive into Kubernetes cluster architecture, control plane components, and the distributed systems design that powers container orchestration at scale.
A deep dive into building a clustered, high-availability parallel NFS storage system with load-balanced metadata servers, NVMe-backed storage nodes, and low-latency interconnects.