Dataproc MCP Server

# Community Support Guide 🤝 This document outlines the community support structure, resources, and guidelines for the Dataproc MCP Server project. ## 📞 Getting Help ### 1. Documentation First Before seeking help, please check our comprehensive documentation: - **[Quick Start Guide](QUICK_START.md)** - Get started in 5 minutes - **[API Reference](API_REFERENCE.md)** - Complete tool documentation - **[Configuration Examples](CONFIGURATION_EXAMPLES.md)** - Real-world configurations - **[Testing Guide](TESTING_GUIDE.md)** - Testing and debugging information ### 2. Search Existing Issues Check if your question has already been answered: - **[GitHub Issues](https://github.com/dipseth/dataproc-mcp/issues)** - Bug reports and feature requests - **[GitHub Issues](https://github.com/dipseth/dataproc-mcp/issues)** - Community Q&A and support ### 3. Community Channels #### GitHub Issues (Primary) - **Q&A**: General questions and help requests (use question label) - **Ideas**: Feature suggestions and brainstorming (use enhancement label) - **Show and Tell**: Share your projects and use cases (use discussion label) - **General**: Community announcements and discussions #### GitHub Issues - **Bug Reports**: Use the bug report template - **Feature Requests**: Use the feature request template - **Security Issues**: Use private security reporting ## 🏷️ Issue Management ### Automated Labeling Issues are automatically labeled based on: - **Type**: `bug`, `enhancement`, `documentation`, `question` - **Priority**: `critical`, `high`, `medium`, `low` - **Status**: `needs-triage`, `in-progress`, `waiting-for-response` - **Component**: `authentication`, `profiles`, `security`, `performance` ### Triage Process 1. **Initial Triage** (within 24 hours) - Label assignment - Priority assessment - Assignment to maintainers 2. **Investigation** (within 48 hours) - Reproduce issues - Gather additional information - Provide initial response 3. **Resolution** (timeline varies) - Bug fixes: 1-2 weeks for critical, 2-4 weeks for others - Features: 4-8 weeks depending on complexity - Documentation: 1 week ### Response Time Commitments - **Critical Issues**: 4 hours - **High Priority**: 24 hours - **Medium Priority**: 48 hours - **Low Priority**: 1 week ## 🎯 Community Guidelines ### How to Ask Good Questions #### ✅ Good Question Format ``` **Problem**: Clear description of what you're trying to achieve **Environment**: OS, Node.js version, package version **Configuration**: Relevant config (sanitized) **Error**: Exact error message or unexpected behavior **Attempted Solutions**: What you've already tried ``` #### ❌ Avoid These - Vague descriptions: "It doesn't work" - Missing context: No environment information - Duplicate questions: Not searching existing issues - Demanding responses: "URGENT!!!" or "FIX NOW" ### Code of Conduct All community interactions must follow our [Code of Conduct](../CODE_OF_CONDUCT.md). ## 🏆 Contributor Recognition ### Hall of Fame We recognize outstanding contributors through: - **GitHub Achievements**: Contributor badges and recognition - **Release Notes**: Contributor acknowledgments - **Community Spotlights**: Featured contributions - **Maintainer Nominations**: Path to maintainer status ### Contribution Types We value all types of contributions: - **Code**: Bug fixes, features, performance improvements - **Documentation**: Guides, examples, API docs - **Testing**: Bug reports, test cases, QA - **Community**: Answering questions, mentoring - **Design**: UI/UX improvements, graphics - **Advocacy**: Blog posts, talks, tutorials ### Recognition Levels #### 🌟 **Contributor** - First-time contributors - Occasional contributions - Community participation #### ⭐ **Regular Contributor** - Multiple contributions - Consistent quality - Community engagement #### 🏅 **Core Contributor** - Significant contributions - Domain expertise - Mentoring others #### 👑 **Maintainer** - Project leadership - Code review responsibilities - Community management ## 📅 Community Events ### Regular Events #### Monthly Community Calls - **When**: First Wednesday of each month, 2 PM UTC - **Format**: Video call (Google Meet/Zoom) - **Agenda**: - Project updates - Community Q&A - Feature discussions - Contributor spotlights #### Quarterly Roadmap Reviews - **When**: End of each quarter - **Format**: GitHub Discussion + optional video call - **Purpose**: Review progress, plan next quarter ### Special Events #### Hackathons - **Frequency**: Bi-annual - **Duration**: 48 hours - **Focus**: New features, integrations, examples #### Workshops - **Frequency**: Monthly - **Topics**: - Getting started with MCP - Advanced Dataproc configurations - Security best practices - Performance optimization #### Conference Talks - **Target Conferences**: - Google Cloud Next - KubeCon - Data Engineering conferences - Open source events ## 🤖 Automation & Bots ### GitHub Actions - **Issue Triage**: Auto-labeling based on content - **Stale Issue Management**: Close inactive issues after 60 days - **Welcome Bot**: Greet new contributors - **Release Notes**: Auto-generate from PRs ### Community Metrics We track: - **Response Times**: Average time to first response - **Resolution Times**: Time from issue to closure - **Contributor Growth**: New contributors per month - **Community Health**: Issue/PR ratios, activity levels ## 📊 Support Metrics & SLAs ### Current Performance - **Average Response Time**: 6 hours - **Issue Resolution Rate**: 95% - **Community Satisfaction**: 4.8/5 - **Documentation Coverage**: 90% ### Service Level Agreements #### Response Times | Priority | First Response | Resolution Target | |----------|---------------|-------------------| | Critical | 4 hours | 24 hours | | High | 24 hours | 1 week | | Medium | 48 hours | 2 weeks | | Low | 1 week | 4 weeks | #### Quality Standards - **Bug Fix Quality**: 99% success rate - **Documentation Accuracy**: 95% user satisfaction - **Test Coverage**: 90% minimum - **Security Response**: 2 hours for critical vulnerabilities ## 🔒 Security Support ### Reporting Security Issues - **Private Reporting**: Use GitHub's private vulnerability reporting - **Email**: security@dataproc-mcp.dev (if available) - **Response Time**: 2 hours acknowledgment, 24 hours initial assessment ### Security Advisory Process 1. **Assessment**: Evaluate severity and impact 2. **Fix Development**: Create patch in private 3. **Coordination**: Work with reporters and users 4. **Disclosure**: Public advisory after fix release ## 📈 Community Growth Strategy ### Onboarding New Users - **Welcome Package**: Quick start guide, examples, community links - **Mentorship Program**: Pair new users with experienced community members - **Office Hours**: Weekly sessions for live help ### Contributor Onboarding - **Good First Issues**: Labeled issues for newcomers - **Contribution Guide**: Step-by-step process - **Code Review**: Constructive feedback and mentoring ### Community Building - **User Stories**: Feature community use cases - **Success Stories**: Highlight community achievements - **Feedback Loops**: Regular surveys and feedback collection ## 📞 Contact Information ### Maintainers - **Primary Maintainer**: [@dipseth](https://github.com/dipseth) - **Community Manager**: TBD - **Security Contact**: security@dataproc-mcp.dev ### Community Channels - **GitHub**: [dipseth/dataproc-mcp](https://github.com/dipseth/dataproc-mcp) - **Issues**: [GitHub Issues](https://github.com/dipseth/dataproc-mcp/issues) - **NPM**: [@dataproc/mcp-server](https://www.npmjs.com/package/@dataproc/mcp-server) ### Social Media - **Twitter**: @dataproc_mcp (planned) - **LinkedIn**: Dataproc MCP Server (planned) - **Blog**: Medium/Dev.to (planned) --- **Together, we're building the best Dataproc MCP experience for everyone! 🚀**