DevOps AI Toolkit

# PRD-45: Infrastructure Deployment Documentation and User Experience **Status**: Complete **Created**: 2025-08-05 **Last Updated**: 2025-11-19 **Closed**: 2025-11-19 **GitHub Issue**: [#45](https://github.com/vfarcic/dot-ai/issues/45) **Dependencies**: [PRD #43](./43-dependency-aware-resource-discovery.md) and [PRD #44](./44-semantic-resource-matching.md) **Related PRDs**: Completes work initiated in [PRD #19](./19-extend-solution-support.md) ## Work Log ### 2025-11-19: PRD Closure - Already Implemented **Status**: Complete **Closure Summary**: This PRD is being closed because the requested infrastructure deployment documentation and user experience improvements have been addressed through recent updates to `docs/mcp-recommendation-guide.md`, `README.md`, and the successful implementation of dependency-aware discovery (PRD #43) and semantic matching (PRD #44). **Functionality Delivered**: - **Infrastructure Examples**: The `mcp-recommendation-guide.md` now includes complex, production-grade examples (stateless apps, microservices with databases) that cover the user journey. - **Capability Discovery**: The system now correctly identifies and recommends infrastructure components (PostgreSQL, Redis, etc.) as verified in PRD #44. - **Documentation**: The README and other guides explicitly mention infrastructure deployment capabilities. - **Validation**: Automated tests and manual validation in PRDs #43 and #44 confirmed that "PostgreSQL" intents correctly map to infrastructure resources (like `sqls.devopstoolkit.live`). The original goal of ensuring users know they can deploy infrastructure and have examples to follow has been met by the organic evolution of the documentation and core engine capabilities. ## Executive Summary While dot-ai's architecture already supports infrastructure deployment, users need comprehensive documentation, examples, and validated workflows to effectively use these capabilities. This PRD creates the complete user experience layer once the underlying recommendation engine is enhanced through PRDs #43 and #44. ## Problem Statement ### Current State After PRD #19 - **Tool descriptions updated**: Infrastructure bias removed from MCP tools ✅ - **AI prompts enhanced**: Infrastructure examples added to prompts ✅ - **Core functionality available**: System can recommend any Kubernetes resource ✅ ### Missing User Experience Components - **No infrastructure examples**: Users don't know they can deploy databases, operators, networking - **Incomplete documentation**: MCP guide and README lack infrastructure deployment workflows - **Unvalidated workflows**: No tested examples proving infrastructure deployment works reliably - **Poor discoverability**: Users assume system is application-only due to missing examples ### Dependency on Enhanced Recommendation Engine Current recommendation quality issues prevent effective documentation: - Missing composite resources (sqls.devopstoolkit.live not found) - Incomplete organizational patterns (User resources missing from PostgreSQL) - AI information overload (415 resources causing suboptimal recommendations) - Missing dependency awareness (ResourceGroup not included for Azure deployments) ## Success Criteria ### Primary Goals - **Complete Documentation**: MCP guide and README fully document infrastructure capabilities - **Validated Examples**: All infrastructure examples tested and working reliably - **Seamless User Experience**: Clear path from intent to successful infrastructure deployment - **Cross-Reference Integrity**: All documentation links and workflows function correctly ### Success Metrics - Infrastructure deployment examples execute successfully 100% of the time - User can complete PostgreSQL, Redis, Ingress, and monitoring deployments following documentation - Documentation covers major Kubernetes resource categories beyond applications - Cross-references between application and infrastructure docs work correctly ## Solution Architecture ### Documentation Enhancement Strategy Built on enhanced recommendation engine from PRDs #43 and #44: ``` Enhanced Recommendation Engine (PRDs #43/#44) ↓ High-Quality Infrastructure Recommendations ↓ Accurate Documentation & Examples (This PRD) ↓ Optimal User Experience ``` ### Content Architecture #### 1. MCP Guide Enhancement (`docs/mcp-guide.md`) Add infrastructure deployment sections alongside existing application examples: ```markdown ## Infrastructure Deployment Examples ### Database Deployment - PostgreSQL with high availability - Redis cache deployment - MongoDB operator installation ### Networking Configuration - Ingress controller setup - Load balancer configuration - Network policy implementation ### Monitoring Stack - Prometheus operator deployment - Grafana dashboard setup - AlertManager configuration ``` #### 2. README Enhancement Update capability overview to highlight infrastructure support: ```markdown ## Key Capabilities - **Application Deployment**: Deploy applications with intelligent resource recommendations - **Infrastructure Deployment**: Deploy databases, networking, storage, and monitoring infrastructure - **Operator Management**: Install and configure Kubernetes operators - **Multi-Cloud Support**: Work with any cloud provider or on-premises cluster ``` #### 3. End-to-End User Journeys Document complete workflows from intent to working infrastructure: - **Primary Journey**: User describes need → Gets recommendations → Deploys infrastructure → Validates deployment - **Secondary Journeys**: Networking setup, storage configuration, operator installation - **Integration Patterns**: How infrastructure and applications work together ## Technical Implementation ### Documentation Components #### 1. Example Collection and Validation Create tested examples for major infrastructure categories: ```typescript const infrastructureExamples = { databases: [ { intent: "PostgreSQL with HA", expectedResources: ["SQL", "ResourceGroup"] }, { intent: "Redis cache", expectedResources: ["Redis", "ConfigMap"] }, { intent: "MongoDB replica set", expectedResources: ["MongoDB", "Secret"] } ], networking: [ { intent: "Ingress controller", expectedResources: ["IngressController", "Service"] }, { intent: "Load balancer", expectedResources: ["LoadBalancer", "Service"] } ], monitoring: [ { intent: "Prometheus stack", expectedResources: ["Prometheus", "Grafana"] } ] }; ``` #### 2. Automated Example Validation Ensure all documented examples work with enhanced recommendation engine: ```bash # Validate each example produces expected recommendations for example in $infrastructureExamples; do result=$(dot-ai recommend "$example.intent") validate_contains_resources "$result" "$example.expectedResources" done ``` #### 3. Cross-Reference Validation System Verify all documentation links and workflows: ```typescript const crossReferences = [ { from: "README.md", to: "docs/mcp-guide.md#infrastructure" }, { from: "mcp-guide.md", to: "examples/postgres-deployment.md" }, { from: "infrastructure-examples", to: "application-integration-patterns" } ]; ``` ## Implementation Milestones ### Milestone 1: MCP Guide Infrastructure Examples - [ ] Add PostgreSQL deployment example with complete workflow - [ ] Add Redis cache deployment example - [ ] Add Ingress controller setup example - [ ] Add monitoring operator deployment example - [ ] Integrate examples naturally with existing application content - **Success Criteria**: All infrastructure examples execute successfully and produce optimal recommendations ### Milestone 2: README and Overview Updates - [ ] Update README to highlight infrastructure deployment capabilities - [ ] Add infrastructure examples to capability overview - [ ] Update feature list to include databases, networking, monitoring - [ ] Create clear value proposition for infrastructure use cases - **Success Criteria**: Users understand infrastructure capabilities from README alone ### Milestone 3: End-to-End User Journey Documentation - [ ] Document primary infrastructure deployment workflow - [ ] Create secondary workflows for networking, storage, operators - [ ] Document integration patterns between infrastructure and applications - [ ] Add troubleshooting guide for common infrastructure deployment issues - **Success Criteria**: Complete user journey from intent to working infrastructure is documented ### Milestone 4: Cross-Reference and Validation System - [ ] Validate all documentation links and cross-references work - [ ] Create automated testing for all documented examples - [ ] Implement documentation validation in CI/CD pipeline - [ ] Add feedback mechanism for documentation quality - **Success Criteria**: All documented examples are automatically tested and validated ### Milestone 5: User Experience Optimization - [ ] Gather user feedback on infrastructure deployment documentation - [ ] Optimize examples based on real user scenarios - [ ] Add advanced use cases and complex deployment patterns - [ ] Create video tutorials or interactive guides for complex workflows - **Success Criteria**: Users successfully deploy infrastructure following documentation with minimal support ## Risk Assessment ### Documentation Risks - **Example Obsolescence**: Infrastructure examples may become outdated as recommendation engine evolves - **Complexity Overwhelm**: Too many examples might confuse users about which approach to use - **Integration Gaps**: Infrastructure and application documentation might not connect well ### Mitigation Strategies - **Automated Validation**: All examples tested automatically to catch obsolescence - **Curated Selection**: Focus on most common use cases rather than comprehensive coverage - **Clear Integration Patterns**: Explicit guidance on infrastructure-application relationships ## Dependencies and Assumptions ### Critical Dependencies - **PRD #43 Complete**: Dependency-aware resource discovery working (ResourceGroup included automatically) - **PRD #44 Complete**: Semantic resource matching working (sqls.devopstoolkit.live found for PostgreSQL) - **Stable Recommendation Quality**: Enhanced engine produces consistent, optimal recommendations ### Assumptions - Infrastructure deployment recommendations will be significantly improved after PRDs #43/#44 - Current infrastructure examples will work reliably once recommendation engine is enhanced - Users will adopt infrastructure deployment capabilities once properly documented ## Related Work ### Builds Upon - **PRD #19**: Tool descriptions and prompt enhancements (foundational work completed) - **PRD #43**: Dependency-aware discovery (provides complete solutions for documentation) - **PRD #44**: Semantic matching (ensures optimal resources are recommended in examples) ### Enables Future Work - Community-contributed infrastructure patterns and examples - Advanced infrastructure deployment automation - Infrastructure-as-Code integration patterns ## Appendix ### Content Migration from PRD #19 Moving these pending items from PRD #19 to this PRD: **Documentation Tasks:** - [ ] `docs/mcp-guide.md`: Document infrastructure deployment examples using existing tools - [ ] `README.md`: Clarify that infrastructure deployment is already supported **Validation Tasks:** - [ ] Test PostgreSQL database deployment recommendation - [ ] Test Redis cache deployment recommendation - [ ] Test Ingress controller deployment recommendation - [ ] Test monitoring operator deployment recommendation - [ ] Document successful infrastructure deployment examples **User Journey Tasks:** - [ ] Primary workflow documented end-to-end: Describe infrastructure need → Get recommendations → Deploy resources - [ ] Secondary workflows coverage: Networking, storage, operator deployment - [ ] Cross-references between app deployment and infrastructure deployment docs - [ ] Examples and commands are testable via automated validation ### Example Documentation Structure **MCP Guide Infrastructure Section:** ```markdown ## Infrastructure Deployment ### Databases Learn how to deploy and manage databases using dot-ai recommendations. #### PostgreSQL High Availability Setup ```bash dot-ai:recommend "PostgreSQL database with high availability on Azure" ``` Expected resources: ResourceGroup, Server, FirewallRule, or SQL composite resource #### Redis Cache Deployment ```bash dot-ai:recommend "Redis cache for session storage" ``` Expected resources: Redis operator or StatefulSet with persistent storage ### Networking Infrastructure Configure networking components for your applications. ### Monitoring and Observability Set up comprehensive monitoring for your cluster. ``` This structure ensures infrastructure deployment is presented as naturally as application deployment, with the same level of detail and support.