A collection of cluster reliability tools for Kubernetes

Connect two VPC networks with an auto-healing, auto-scaling group of IP router instances.

MCP plugin that saves 50%+ tokens per session for AI coding agents. Validates edits in RAM (TypeScript + gopls + pyright), auto-heals errors, catches broken code before it hits disk. Patch mode cuts output tokens 30x. 98% compression on reads. 729 tests. Zero cloud.

This is a demo project to demonstrate automatic locator healing capability in Healenium using Java, Maven, and the Page Object Pattern.

Stream any website, PyGame, or local HTML file to YouTube 24/7 on a $4/mo Ubuntu Droplet 📶

Getting started with distributed systems in JAVA

A deterministic pipeline that diagnoses, explains, and safely auto-fixes failures in LLM agent systems.

AI-powered self-healing smart web locators for Playwright tests.

This repo deep dives into running Auto-Healing tests using Selenium and LambdaTest

AI-powered Kubernetes infrastructure monitoring and auto-healing system. Detects and fixes issues that Kubernetes doesn't see: stuck containers, network problems, memory leaks, with 24-72h predictions.

Self-healing your locators to run scripts without errors when the UI changes - With Selenium and Healenium

Monitor and restart unhealthy docker containers.

🤖 Generación automática de tests de Playwright con exploración real de páginas + auto-healing

Streamlit dashboard simulating DevOps + EdTech agents (Health, Scores, CI/CD, Uptime, Healing, RL).

Python-based Auto-Healing Agent and RL-based Fix Optimizer.

Self-healing EKS cluster with Karpenter autoscaling, node health monitoring, and automatic remediation

Cluster Docker Swarm provisionado com Vagrant + VirtualBox. Simula ambiente distribuído com múltiplos nós, deploy escalável, auto-healing e alta disponibilidade na prática.

Autonomous System Diagnostics with Auto-Healing + Human-in-the-loop

🧬 Infrastructure Alchemist: An experimental lab where Generative AI autonomously evolves Terraform code. Maximizing cost-efficiency (Spot VMs) and resilience (MIGs) through Chaos Engineering in GCP. / AIが適応度関数（コスト削減と不死身性）に基づいてインフラ構成を「自己進化」させるサバイバル実験室。