documcp

--- documcp: last_updated: "2025-11-20T00:46:21.953Z" last_validated: "2025-11-20T00:46:21.953Z" auto_updated: false update_frequency: monthly --- # How to Optimize Documentation Deployment Performance This guide shows you how to optimize your DocuMCP deployment process for faster builds and better deployment success rates. ## Quick Setup ```bash # Analyze deployment performance: "analyze my deployment performance and provide optimization recommendations" ``` ## Deployment Performance Overview DocuMCP tracks deployment performance metrics to help you optimize your documentation build process: ### Key Metrics - **Build Time**: Time taken for documentation generation - **Deployment Success Rate**: Percentage of successful deployments - **SSG Performance**: Static site generator efficiency comparison - **Error Recovery**: Time to resolve deployment failures ### Performance Benefits - **Faster Deployments**: Reduced time from commit to live site - **Higher Success Rates**: More reliable deployment pipeline - **Better Developer Experience**: Quicker feedback cycles - **Reduced Resource Usage**: Optimized build processes ## Setup Methods ### Method 1: Deployment Performance Analysis ```bash # Analyze deployment performance: "analyze my deployment performance and provide optimization recommendations" ``` This will: 1. Analyze current deployment metrics 2. Compare SSG build times 3. Identify deployment bottlenecks 4. Provide optimization recommendations 5. Track performance improvements ### Method 2: SSG Performance Comparison #### Step 1: Build Time Analysis ```bash # Analyze build performance: "compare build times across different static site generators" ``` #### Step 2: Success Rate Optimization ```bash # Optimize deployment success: "analyze deployment failures and suggest improvements" ``` #### Step 3: Performance Monitoring ```bash # Monitor deployment performance: "track my deployment performance over time" ``` ## Deployment Optimization Techniques ### SSG Selection Optimization ```bash # Analyze SSG performance: "compare static site generator build times and success rates" ``` #### SSG Performance Factors - **Build Speed**: Time to generate documentation - **Success Rate**: Reliability of builds - **Resource Usage**: Memory and CPU requirements - **Feature Support**: Compatibility with documentation needs ### Build Configuration Optimization ```typescript // Optimize build configuration for faster deployments const buildConfig = { // Use faster package managers packageManager: "pnpm", // or "yarn" for faster installs // Optimize Node.js version nodeVersion: "20", // Latest LTS for better performance // Configure build caching cache: { enabled: true, strategy: "aggressive", }, }; ``` ### Deployment Pipeline Optimization ```bash # Optimize deployment pipeline: "analyze my deployment pipeline and suggest performance improvements" ``` #### Pipeline Best Practices - **Parallel Processing**: Run independent tasks concurrently - **Build Caching**: Cache dependencies and build artifacts - **Incremental Builds**: Only rebuild changed content - **Resource Allocation**: Optimize memory and CPU usage ## Troubleshooting ### Common Issues **Problem**: Slow deployment builds **Solution**: Analyze SSG performance and switch to faster alternatives **Problem**: Frequent deployment failures **Solution**: Review error patterns and optimize build configurations **Problem**: Inconsistent build times **Solution**: Enable build caching and optimize dependencies **Problem**: Resource exhaustion during builds **Solution**: Optimize memory usage and build parallelization ### Performance Debugging ```bash # Debug deployment performance issues: "analyze my deployment bottlenecks and suggest optimizations" ``` ## Best Practices ### Deployment Performance Guidelines 1. **Choose Fast SSGs**: Use performance data to select optimal static site generators 2. **Enable Caching**: Implement build caching for faster subsequent deployments 3. **Optimize Dependencies**: Keep dependencies minimal and up-to-date 4. **Monitor Build Times**: Track deployment performance over time 5. **Use Analytics**: Leverage deployment analytics for optimization decisions ### Build Optimization Strategies 1. **Incremental Builds**: Only rebuild changed content when possible 2. **Parallel Processing**: Run independent build tasks concurrently 3. **Resource Management**: Optimize memory and CPU usage during builds 4. **Dependency Caching**: Cache node_modules and build artifacts 5. **Build Environment**: Use optimized build environments and Node.js versions ## Deployment Analytics Tools ### Built-in DocuMCP Analytics - **Build time tracking**: Monitor deployment speed over time - **Success rate analysis**: Track deployment reliability - **SSG performance comparison**: Compare static site generator efficiency - **Failure pattern analysis**: Identify common deployment issues ### MCP Tools Available - `analyze_deployments`: Get comprehensive deployment performance analytics - `deploy_pages`: Track deployment attempts and build times - `recommend_ssg`: Get performance-based SSG recommendations ## Next Steps - [Deploy Pages](../reference/mcp-tools.md#deploy_pages) - [Analytics Setup](analytics-setup.md) - [Site Monitoring](site-monitoring.md) - [Troubleshooting](troubleshooting.md)