https://chcha.in/tags/kubernetes/Recent content in Kubernetes on Dev PortfolioHugoen-usFri, 10 Jul 2026 00:00:00 +0000https://chcha.in/projects/podex/Fri, 10 Jul 2026 00:00:00 +0000https://chcha.in/projects/podex/Overview PodEx is an AI-powered Kubernetes developer workspace designed to simplify local cluster operations for beginners and seasoned developers alike. By combining a modern web frontend with a fast Python/FastAPI backend and integrating a Generative AI assistant, PodEx helps users visualize, explore, and troubleshoot resource failures inside their Docker/kind Kubernetes clusters interactively. Key Features 🤖 AI Troubleshooter: Ingests cluster event logs and pod diagnostics to identify issues and recommend precise shell commands for remediation.https://chcha.in/projects/killmypod/Wed, 25 Mar 2026 00:00:00 +0000https://chcha.in/projects/killmypod/Overview KillMyPod is an interactive, web-based chaos testing dashboard. It gives developers a visual way to manually kill pods inside their Kubernetes clusters to observe replica scaling, pod restart behavior, and traffic routing resilience in real-time. Key Features 🎯 Simple Interface: Displays pods in a dashboard grid, allowing users to “terminate” a pod with a single click. 🔄 Visual Self-Healing: Watch how the replica set automatically spins up a new pod in real-time to replace the killed one.https://chcha.in/projects/oncall-chaos-engine/Sun, 15 Mar 2026 00:00:00 +0000https://chcha.in/projects/oncall-chaos-engine/Overview Oncall Chaos Engine is a specialized reliability testing tool built in Go. It is designed for Site Reliability Engineers (SREs) and DevOps teams to proactively inject controlled failures—such as network latency, container crashes, and DNS failures—into infrastructure to verify that on-call alerting routing (PagerDuty, Opsgenie, etc.) triggers correctly. Key Features 💥 Automated Failure Injection: Programmatically inject failures like high CPU load, memory exhaustion, packet loss, and process termination. 🚨 Alert Pathway Validation: Ensures that alerts are successfully triggered, aggregated, and routed to the on-call engineer within SLAs.