Infrastructure monitoring framework turning DevOps runbooks into automated actions
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Updated
Sep 2, 2018 - Python
Infrastructure monitoring framework turning DevOps runbooks into automated actions
A Docker Healer - Auto Restarting Unhealthy Containers
Robot Framework and OpenAI integration
Healix is an AI-assisted automation framework that keeps your Linux system healthy by monitoring logs, services, resources, and auto-healing issues in real-time. Designed for hackathons, devops, cybersecurity, and system automation.
Saberx is a trigger based monitoring, alerting and action execution system which can be used for self healing.
GGFAI does not use a plugin architecture. It consumes and fuses entire AI systems through natural language alone, leveraging real-time introspection, model comprehension, and ML-based configuration. This approach enables limitless expansion without manual integration work — just describe what you want it to do, and it will adapt.
A resilient, self-healing CI/CD pipeline system for GitLab
SH4CS - Extends Kubernetes and Docker platforms with self-healing properties inspired by the human immune system
Autonomous DevOps agent leveraging LLMs (Google Gemini) and a full monitoring stack (Prometheus, Grafana, Alertmanager) to automatically detect and self-heal crashed containerized services.
Self-Healing Infrastructure with Complete Observability using Prometheus, Grafana, Loki, Jaeger, and Ansible
experiments to paper of monitor exploiting implicit redundancy (related to SHSA)
Towards autonomous software-defined Industrial IoT-Edge communication networks: A case of offshore wind farms
Post-training self-healing method for large language models based on mandala symmetry analysis and autonomous knowledge refinement.
This project is not intended for deployment in a production system. It's just a POC I made while teaching myself resilience and automation in hyperscale environments
Super Monitoring System
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