P6M Archetypes Documentation
Welcome to the comprehensive documentation for P6M Archetypes - a collection of enterprise-grade software architecture templates designed to accelerate development and ensure best practices across technology stacks.
Overview
P6M Archetypes provides battle-tested project templates and architectural patterns for modern software development. Each archetype includes complete project structures, configuration files, best practices, and deployment instructions to help teams deliver production-ready applications faster.
Interactive Archetype Explorer
Explore our comprehensive catalog of archetypes with interactive filtering and search capabilities.
Quick Access by Technology
Architecture Categories
Architecture Builders
Complete system architectures that orchestrate multiple components:
- Transactional Architecture Builder: Enterprise microservices with GraphQL federation
- Domain Architecture Builder: Domain-driven design with bounded contexts
- ML Architecture Builder: End-to-end MLOps platform with model serving
Java Ecosystem
Enterprise Java applications and services:
- Spring Boot gRPC Service: High-performance microservices
- GraphQL Domain Gateway: Domain-specific API gateways
- Platform Libraries: Shared enterprise components
TypeScript & JavaScript
Modern frontend and full-stack applications:
- Next.js Applications: React-based web applications
- Angular Applications: Enterprise frontend frameworks
- Micro-frontend Architecture: Scalable frontend systems
Python Ecosystem
Data science, AI/ML, and backend services:
- gRPC Services: High-performance Python services
- AI Chatbots: Intelligent conversational systems
- ML Workloads: Data science and machine learning projects
.NET Ecosystem
Enterprise .NET applications and services:
- REST Services: RESTful API implementations
- gRPC Services: High-performance .NET services
- GraphQL Services: Modern API development
Rust Ecosystem
High-performance systems programming:
- GraphQL Federation Gateway: Ultra-fast API federation
- GraphQL Services: Memory-safe, high-performance APIs
Data Platform
Comprehensive data processing and analytics:
- Data Platform Core: Apache Airflow-based data orchestration
- PySpark Projects: Large-scale data processing
- Ray Components: Distributed computing and ML
- Transform Libraries: Reusable data processing utilities
Infrastructure & DevOps
Modern deployment and operations:
- GitHub Actions: CI/CD automation
- Helm Charts: Kubernetes application deployment
- KubeRay: Ray cluster management on Kubernetes
- mdBook Documentation: Technical documentation sites
Specialized Domains
Domain-specific implementations:
- Financial Services: Fintech and banking applications
- Healthcare: HIPAA-compliant healthcare systems
- E-commerce: Retail and marketplace platforms
Key Features
Enterprise-Ready
- Production-tested patterns and practices
- Comprehensive security implementations
- Scalability and performance optimizations
- Monitoring and observability built-in
Developer Experience
- Complete project scaffolding
- IDE configurations and settings
- Pre-configured development environments
- Comprehensive documentation
DevOps Integration
- CI/CD pipeline templates
- Container and Kubernetes configurations
- Infrastructure as Code (IaC)
- Automated testing frameworks
Scalability & Performance
- Horizontal and vertical scaling patterns
- Caching and optimization strategies
- Load balancing and fault tolerance
- Performance monitoring and tuning
Quick Start Guide
1. Install Archetect
# Install Archetect CLI
cargo install archetect
# Verify installation
archetect --version
2. Generate Your First Project
# Browse available archetypes
archetect catalog
# Generate a Spring Boot service
archetect render git@github.com:p6m-archetypes/java-spring-boot-grpc-service.archetype.git
# Generate a complete transactional architecture
archetect render git@github.com:p6m-archetypes/transactional-architecture-builder.archetype.git
3. Customize and Deploy
# Navigate to generated project
cd your-project-name
# Start local development
docker-compose up -d
# Run tests
./scripts/test.sh
# Deploy to staging
./scripts/deploy.sh staging
Architecture Patterns
Microservices Architecture
Data Platform Architecture
Technology Stack Overview
Programming Languages
- Java: Enterprise applications, microservices
- TypeScript/JavaScript: Frontend and full-stack applications
- Python: Data science, AI/ML, backend services
- C#: .NET enterprise applications
- Rust: High-performance systems programming
Frameworks & Libraries
- Spring Boot: Java enterprise framework
- React/Next.js: Modern frontend development
- Django/FastAPI: Python web frameworks
- ASP.NET Core: .NET web framework
- Actix/Axum: Rust web frameworks
Databases & Storage
- PostgreSQL: Primary relational database
- MongoDB: Document database
- Redis: Caching and session storage
- Apache Kafka: Event streaming
- Apache Spark: Big data processing
Infrastructure & DevOps
- Docker: Containerization
- Kubernetes: Container orchestration
- Helm: Kubernetes package management
- Terraform: Infrastructure as Code
- GitHub Actions: CI/CD automation
Best Practices
Code Quality
- Comprehensive Testing: Unit, integration, and end-to-end tests
- Code Reviews: Peer review processes and quality gates
- Static Analysis: Automated code quality checks
- Documentation: Living documentation that evolves with code
Security
- Zero Trust Architecture: Never trust, always verify
- Defense in Depth: Multiple layers of security controls
- Secure by Default: Security built into every archetype
- Regular Audits: Automated security scanning and assessments
Performance
- Performance Testing: Load and stress testing frameworks
- Monitoring: Comprehensive observability and alerting
- Optimization: Performance tuning and optimization guides
- Scalability: Horizontal and vertical scaling patterns
Operations
- Infrastructure as Code: Version-controlled infrastructure
- GitOps: Git-based deployment and configuration management
- Monitoring: Proactive monitoring and alerting
- Disaster Recovery: Automated backup and recovery procedures
Support & Community
Getting Help
- Documentation: Comprehensive guides and API references
- Community Forums: GitHub Discussions and Stack Overflow
- Issue Tracking: GitHub Issues for bugs and feature requests
- Support: Enterprise support options available
Contributing
- Contribution Guidelines: How to contribute to archetypes
- Pull Requests: Process for submitting improvements
- Bug Reports: How to report issues effectively
- Feature Requests: Suggesting new archetypes and features
Training & Certification
- Workshops: Hands-on training sessions
- Tutorials: Step-by-step learning guides
- Certification: Professional certification programs
- Webinars: Regular educational webinars
Roadmap
Current Focus (Q1 2025)
- Enhanced Kubernetes integration
- Improved security templates
- ML/AI archetype expansion
- Performance optimization guides
Upcoming (Q2 2025)
- Cloud-native patterns
- Event-driven architectures
- Serverless archetypes
- Advanced monitoring templates
Future Vision
- AI-powered archetype generation
- Custom archetype marketplace
- Enterprise governance tools
- Advanced analytics and insights
Ready to accelerate your development? Choose an archetype category above to explore the available templates and start building production-ready applications today.