{"id":28275089,"url":"https://github.com/quran-yeamen/serverlifecycleml","last_synced_at":"2026-02-15T17:02:02.383Z","repository":{"id":282920937,"uuid":"950098427","full_name":"quran-yeamen/ServerLifecycleML","owner":"quran-yeamen","description":"Predictive modeling of server lifecycle stages using synthetic data and machine learning.","archived":false,"fork":false,"pushed_at":"2025-03-18T10:30:44.000Z","size":2028,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-06-16T12:52:51.862Z","etag":null,"topics":["data-science","machine-learning","predictive-modeling","python","scikit-learn","synthetic-data"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/quran-yeamen.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2025-03-17T16:18:57.000Z","updated_at":"2025-05-06T14:32:08.000Z","dependencies_parsed_at":"2025-06-16T12:45:44.751Z","dependency_job_id":null,"html_url":"https://github.com/quran-yeamen/ServerLifecycleML","commit_stats":null,"previous_names":["quran-yeamen/serverlifecycleml"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/quran-yeamen/ServerLifecycleML","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/quran-yeamen%2FServerLifecycleML","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/quran-yeamen%2FServerLifecycleML/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/quran-yeamen%2FServerLifecycleML/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/quran-yeamen%2FServerLifecycleML/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/quran-yeamen","download_url":"https://codeload.github.com/quran-yeamen/ServerLifecycleML/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/quran-yeamen%2FServerLifecycleML/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":274719246,"owners_count":25337237,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-09-11T02:00:13.660Z","response_time":74,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["data-science","machine-learning","predictive-modeling","python","scikit-learn","synthetic-data"],"created_at":"2025-05-21T03:13:29.999Z","updated_at":"2026-02-15T17:02:02.324Z","avatar_url":"https://github.com/quran-yeamen.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"### **ServerLifecycleML**\n**Machine Learning for Server Lifecycle Management**\n\n## **Overview**\nServerLifecycleML is a machine learning-driven project designed to simulate and analyze server decommissioning, setup, and lifecycle management across multiple data centers. This project generates synthetic data to model real-world server operations, enabling predictive analytics and automation for infrastructure management.\n\n## **Features**\n**Synthetic Data Generation**: Creates realistic datasets simulating server lifecycles, including provisioning, decommissioning, maintenance, and failure predictions.  \n**Exploratory Data Analysis (EDA)**: Provides insights into server utilization, performance metrics, and failure patterns.  \n**Predictive Modeling**: Uses machine learning models to forecast server failures, maintenance needs, and decommission schedules.  \n**Data Visualization**: Generates dashboards and reports for better decision-making.  \n**Python \u0026 Jupyter Support**: Designed for data scientists and engineers, leveraging Jupyter notebooks and Python for analysis and experimentation.  \n\n## **Future Enhancements**\n**Integration with Cloud Platforms** (AWS, Azure, GCP) for real-time data ingestion and analysis.  \n**Dashboard Development** using interactive tools like Streamlit, Dash, or Tableau.  \n**Automated Server Optimization** by recommending ideal configurations based on usage patterns.  \n**Anomaly Detection** to identify unusual server behavior and potential security threats.  \n**Deployment as a Web App** to make predictions and insights accessible via an interactive interface.  \n\n## **Installation**\n1. Clone the repository:\n   ```sh\n   git clone https://github.com/quran-yeamen/ServerLifecycleML.git\n   cd ServerLifecycleML\n   ```\n2. Install dependencies:\n   ```sh\n   pip install -r requirements.txt\n   ```\n3. Run the project:\n   - Open Jupyter Notebook and explore available notebooks for EDA and model training.\n   - Execute `main.py` for running scripts.\n\n## **Contributing**\nWe welcome contributions! Feel free to open issues, submit pull requests, or suggest enhancements.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fquran-yeamen%2Fserverlifecycleml","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fquran-yeamen%2Fserverlifecycleml","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fquran-yeamen%2Fserverlifecycleml/lists"}