Articles

On November 11, 2025, the Kubernetes community announced the end of Ingress NGINX. The project that had been the de facto standard for routing traffic to Kubernetes workloads for years is retiring in March 2026. No new releases, no bugfixes, no security patches. For me, this meant one thing: time to migrate. Why Ingress NGINX is Shutting Down The story behind the retirement is actually quite sad. Despite its enormous popularity, the project was maintained for years by just one or two volunteers working in their spare time, on evenings and weekends....

How I built an AI-powered system that deploys real Azure infrastructure through natural conversation, running 100% locally with open-source models - no API costs!

Prerequisites Windows with WSL2 installed NVIDIA RTX 5070 GPU NVIDIA drivers installed on Windows host Issue Overview RTX 50-series GPUs use CUDA compute capability sm_120, which requires PyTorch with CUDA 12.8 support. Standard PyTorch installations only support up to sm_90, causing runtime errors. Installation Steps 1. Setup Conda Environment # Install Miniconda (if not already installed) wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh bash Miniconda3-latest-Linux-x86_64.sh source ~/.bashrc # Create new environment conda create -n f5-tts python=3....

Complete installation guide for Fish Speech (OpenAudio) with RTX 50-series GPU support on Windows WSL2. Prerequisites Windows with WSL2 installed NVIDIA RTX 5070 GPU NVIDIA drivers installed on Windows host Miniconda/Anaconda installed Issue Overview RTX 50-series GPUs require PyTorch with CUDA 12.8 support due to their sm_120 compute capability. Standard PyTorch installations cause CUDA kernel errors with newer GPU architectures. Installation Steps 1. Create Conda Environment # Create new environment for Fish Speech conda create -n fish-speech python=3....

A deep dive into creating a robust Docker build system for AFFiNE with custom AI model support, automated version management, and production optimizations.

A complete guide to setting up AFFiNE's AI Copilot feature with custom models, including OpenAI, Anthropic, and experimental Ollama integration.

How I created an automated backup system for Jellyfin using MinIO object storage and .NET 8 to protect against data loss and configuration disasters.

How I hacked my Tuya-based smart plug to avoid a €30/year subscription and built a full self-hosted power usage dashboard.

Building a Scalable Kubernetes Network Architecture with Cilium, BGP, and L2 Announcements Introduction When I began setting up my Kubernetes cluster’s networking infrastructure, I faced a common but challenging problem: how to efficiently manage a limited public IP range while maintaining a clear separation between public and private services. I had a small /29 subnet (X.X.55.89/29) for public services, which meant I needed to be extremely conservative with IP usage. This constraint led me to develop a hybrid networking solution that combines Border Gateway Protocol (BGP) for public services with Layer 2 (L2) announcements for private services....

Preparation Steps Before starting the upgrade, create an etcd backup: talosctl -n 10.122.0.10 etcd snapshot etcd.backup Cluster Configuration My starting point is a Talos cluster with one control plane and four worker nodes: Control Plane: control-01 10.121.0.10 Workers: node01 10.121.0.11 node02 10.121.0.12 node03 10.121.0.13 node04 10.121.0.14 Initial Environment Starting Talos version: 1.6.1 Target Talos version: 1.9.2 Initial Kubernetes version: 1.29.0 Target Kubernetes version: 1.31.5 Hardware: Bare-metal Machine Architecture: amd64 Factory Image Creation Visit https://factory....