Architecture Vision¶

Document Type: Architecture Vision
TOGAF Phase: Preliminary & Phase A
Version: 1.0
Date: 2024-12-30
Status: Active

Executive Summary¶

Dokploy represents a paradigm shift in application deployment, bringing enterprise-grade Platform-as-a-Service (PaaS) capabilities to the open-source community. This architecture vision establishes the foundation for a self-hosted, cost-effective, and developer-friendly deployment platform that rivals commercial offerings like Heroku, Vercel, and Netlify while maintaining complete user control and transparency.

Vision Statement¶

To democratize cloud deployment by providing an enterprise-grade, self-hosted PaaS that is accessible, flexible, and powerful for developers and organizations of all sizes.

Mission Statement¶

Enable developers to deploy and manage applications with the same ease as commercial PaaS solutions while maintaining full control, transparency, and cost-efficiency through open-source self-hosting.

Business Context¶

Market Opportunity¶

The Platform-as-a-Service market is dominated by commercial providers that charge premium prices for deployment services. Organizations face:

High operational costs: $50-500+ per application per month
Vendor lock-in: Proprietary APIs and workflows
Limited control: Black-box infrastructure
Data sovereignty concerns: Cloud-only solutions
Unpredictable pricing: Usage-based billing complexity

Dokploy addresses these challenges by providing:

Zero recurring costs: Self-hosted with no per-app fees
Open-source transparency: Full codebase visibility
Complete control: Own your infrastructure
Data sovereignty: Deploy anywhere
Predictable costs: Fixed infrastructure costs only

Strategic Goals¶

Market Leadership: Become the #1 open-source PaaS alternative (current: 26k+ GitHub stars)
Cost Savings: Enable 70-90% cost reduction vs commercial PaaS
Enterprise Adoption: Achieve 20+ enterprise customers by 2025
Community Growth: Reach 50k+ monthly active users
Sustainable Business: Generate revenue through Dokploy Cloud managed service

Stakeholder Analysis¶

Primary Stakeholders¶

1. Independent Developers¶

Power: Medium | Interest: High

Concerns:
Easy setup and deployment
Cost-effectiveness
Learning curve
Community support
Requirements:
Quick onboarding (<10 minutes)
Clear documentation
Active community
Free forever option

2. Small-Medium Development Teams¶

Power: High | Interest: High

Concerns:
Team collaboration
Deployment reliability
Scaling capabilities
Time to market
Requirements:
Role-based access control
Multi-environment support
CI/CD integration
99.9% uptime

3. DevOps Engineers¶

Power: High | Interest: High

Concerns:
Infrastructure control
Security and compliance
Monitoring and observability
Multi-server management
Requirements:
Advanced configuration options
Security hardening capabilities
Comprehensive monitoring
API/CLI automation

4. Enterprise Organizations¶

Power: High | Interest: Medium

Concerns:
Compliance (GDPR, SOC 2)
Enterprise support
High availability
On-premise deployment
Requirements:
Audit logging
SSO integration
SLA guarantees
Professional support

Secondary Stakeholders¶

5. Open-Source Community¶

Power: Medium | Interest: High

Concerns:
Code quality
Contribution process
Project sustainability
Licensing
Requirements:
Clear contribution guidelines
Active maintainer engagement
Transparent roadmap
Permissive license

6. Dokploy Project Maintainers¶

Power: Very High | Interest: Very High

Concerns:
Code maintainability
Technical debt
Security vulnerabilities
Project funding
Requirements:
Architectural clarity
Automated testing
Security scanning
Sustainable funding model

Business Drivers¶

Cost Optimization¶

Reduce deployment costs by 70-90% compared to commercial PaaS
Eliminate per-application pricing models
Optimize resource utilization through containerization

Developer Productivity¶

Reduce deployment time from hours to minutes
Eliminate DevOps complexity for small teams
Provide intuitive UI and powerful CLI/API

Compliance and Security¶

Enable on-premise deployment for regulated industries
Provide full audit trail
Support data sovereignty requirements
Implement security best practices by default

Flexibility and Control¶

Support multiple deployment methods (Git, Docker, Docker Compose)
Enable custom build processes
Allow fine-grained resource control
Support multi-server deployments

Architecture Principles¶

1. Open-Source First¶

Statement: All core functionality must be available in the open-source version.

Rationale: Ensures community trust, enables contributions, and prevents vendor lock-in.

Implications: - No feature paywalls for core deployment functionality - Open development process - Community-driven roadmap

2. Self-Hosting Capable¶

Statement: The platform must be fully functional when self-hosted.

Rationale: Enables cost savings, data sovereignty, and user control.

Implications: - No cloud-only dependencies - Manageable resource requirements - Single-server deployability

3. Security by Design¶

Statement: Security must be integrated at every architectural layer.

Rationale: Protects user applications and data, enables compliance.

Implications: - Encryption at rest and in transit - Principle of least privilege - Regular security audits - Fast vulnerability patching

4. Developer Experience Focus¶

Statement: Optimize for developer productivity and ease of use.

Rationale: Reduces adoption barriers, increases user satisfaction.

Implications: - Intuitive UI design - Comprehensive documentation - Minimal configuration required - Fast feedback loops

5. Cloud-Native Architecture¶

Statement: Leverage containerization and orchestration best practices.

Rationale: Enables scalability, portability, and modern deployment patterns.

Implications: - Docker-first approach - Microservices-friendly - Infrastructure as code - Declarative configuration

6. API-First Design¶

Statement: All functionality must be accessible via API.

Rationale: Enables automation, integration, and programmatic control.

Implications: - Complete REST API - CLI tool based on API - Webhook support - OpenAPI documentation

7. Cost-Effectiveness¶

Statement: Minimize infrastructure resource requirements.

Rationale: Reduces operational costs for users.

Implications: - Efficient resource utilization - Optional external dependencies - Minimal overhead - Smart caching strategies

8. Observability¶

Statement: Provide comprehensive visibility into system and application behavior.

Rationale: Enables troubleshooting, performance optimization, and proactive monitoring.

Implications: - Real-time metrics - Centralized logging - Performance monitoring - Audit trails

Scope and Boundaries¶

In Scope¶

Core Platform Services¶

Application deployment and lifecycle management
Database creation and management
Domain and SSL certificate management
Multi-server orchestration
User authentication and authorization
Monitoring and logging
Backup and restore capabilities

Supported Technologies¶

Git providers: GitHub, GitLab, Bitbucket, Gitea
Build systems: Nixpacks, Heroku Buildpacks, Dockerfile
Databases: PostgreSQL, MySQL, MariaDB, MongoDB, Redis
Container orchestration: Docker Swarm
Reverse proxy: Traefik v3

Deployment Targets¶

Linux servers (Ubuntu, Debian, CentOS, RHEL, Amazon Linux)
Virtual Private Servers (VPS)
Cloud instances (AWS EC2, DigitalOcean, etc.)
On-premise servers
Edge locations

Out of Scope¶

Not Included in Core Platform¶

Kubernetes orchestration (roadmap: Q1 2025)
Windows/macOS native support
Managed database hosting
CDN services
Email services
Object storage (users provide S3-compatible)
DNS hosting (users manage DNS)

External Dependencies¶

Git repository hosting (GitHub, GitLab, etc.)
Domain registrars
SSL certificate authorities (Let's Encrypt)
Docker registry (Docker Hub, GHCR)
S3-compatible storage for backups (optional)

Architecture Constraints¶

Technical Constraints¶

Docker Dependency: Requires Docker 28.5.0+ on Linux
Linux Only: No native Windows or macOS support for hosting
Port Requirements: Ports 80, 443, 3000 must be available
Resource Minimum: 2GB RAM, 2 CPU cores, 20GB disk
Network Access: Requires outbound internet for Git, registries, packages

Business Constraints¶

Open-Source License: Must remain open-source (permissive license)
No Vendor Lock-in: Users must be able to export and migrate freely
Community-Driven: Major decisions require community input
Free Self-Hosting: Core features free forever for self-hosters

Regulatory Constraints¶

GDPR Compliance: For EU users
CCPA Compliance: For California users
Data Residency: Support data sovereignty requirements
Security Standards: OWASP Top 10, CIS Docker Benchmark

Success Metrics¶

Adoption Metrics¶

GitHub Stars: 30k+ (current: 26k)
Docker Hub Pulls: 5M+ (current: 4M)
Active Installations: 10k+
Monthly Active Users: 50k+
Community Contributors: 300+ (current: 200+)

Performance Metrics¶

Average Deployment Time: <5 minutes
Deployment Success Rate: >95%
API Response Time (P95): <200ms
UI Load Time (P95): <2 seconds
Platform Uptime: >99.9%

User Satisfaction¶

Net Promoter Score (NPS): >50
Customer Satisfaction (CSAT): >4.5/5
Time to First Deployment: <10 minutes
Documentation Completeness: >90%

Business Metrics¶

Cloud Revenue Growth: 20% MoM
Sponsor Count: 100+ (current: 50+)
Enterprise Customers: 20+
Cost Savings vs Heroku: 70-90%

Key Architecture Decisions¶

Foundational Choices¶

Docker Swarm for orchestration (vs Kubernetes)
Rationale: Simpler, lighter weight, easier for self-hosting
Trade-off: Less ecosystem, but sufficient for target use cases
Next.js for unified frontend/backend
Rationale: Reduces complexity, enables SSR, single codebase
Trade-off: Coupling, but better DX and faster development
PostgreSQL as primary database
Rationale: Mature, reliable, feature-rich, widely known
Trade-off: Single database type, but well-suited for use case
Traefik as reverse proxy
Rationale: Dynamic configuration, Docker integration, modern features
Trade-off: Learning curve, but excellent for container environments
Redis for queue management
Rationale: Fast, reliable, prevents concurrent deployment conflicts
Trade-off: Additional dependency, but minimal overhead

Architecture Roadmap¶

Phase 1: Foundation (Current)¶

Core deployment functionality
Basic monitoring and logging
Single-server deployments
Essential security features

Phase 2: Scale (Q1-Q2 2025)¶

Multi-server orchestration
Advanced monitoring
Organizations and RBAC
Build server separation

Phase 3: Enterprise (Q2-Q3 2025)¶

Kubernetes support
SSO integration
Advanced compliance features
Audit logging

Phase 4: Innovation (Q3-Q4 2025)¶

AI-powered optimizations
Edge deployments
Serverless functions
GraphQL API

Risks and Mitigations¶

High-Priority Risks¶

Risk 1: Docker Swarm Deprecation¶

Probability: Low
Impact: High
Mitigation: Monitor Docker roadmap, plan Kubernetes migration, ensure abstraction layer

Risk 2: Security Vulnerabilities¶

Probability: Medium
Impact: High
Mitigation: Regular audits, automated scanning, fast patch cycle, bug bounty

Risk 3: Community Sustainability¶

Probability: Medium
Impact: High
Mitigation: Diversify funding, active maintainer recruitment, clear governance

Medium-Priority Risks¶

Risk 4: Database Scalability¶

Probability: Medium
Impact: Medium
Mitigation: Connection pooling, read replicas, sharding strategy

Risk 5: Competition¶

Probability: High
Impact: Medium
Mitigation: Focus on unique value (self-hosting, cost, control), rapid innovation

Next Steps¶

Validate Vision: Review with key stakeholders and community
Develop Business Architecture: Detail capabilities and value streams
Create C4 Diagrams: Document system context and containers
Document ADRs: Capture key architectural decisions
Establish Governance: Set up architecture review process

References¶

Product Requirements Document (PRD): docs/product-requirements-document.md
TOGAF 9.2 Architecture Development Method
C4 Model for Software Architecture
The Twelve-Factor App methodology

Document Owner: Architecture Team
Reviewers: Engineering, Product, Community
Next Review: Q1 2025
Related Documents: PRD, Stakeholder Analysis, Architecture Principles