Adaptive CI/CD Pipeline Health Monitoring Framework

Create a comprehensive Python-based monitoring system that dynamically tracks CI/CD pipeline performance across multiple environments. The solution should use machine learning algorithms to predict potential failure points, automatically generate performance optimization recommendations, and create real-time dashboards with predictive analytics. Implement support for multiple CI/CD tools like Jenkins, GitLab CI, and GitHub Actions, with advanced error tracking and automated remediation strategies.