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Client security fixes (cmd/tailscale-tray/main.go): - SSRF protection in Add Server dialog (validateControlURL): reject private/loopback/link-local/cloud-metadata IPs via DNS resolution - RCE gate on AuthURL/BrowseToURL exec paths (validateAuthURL) - Sanitized URL logging (sanitizeURLForLog drops query auth tokens) - Error handling on exec.Command with user-facing showError() Admin panel security (web-admin): - Bcrypt password hashing (replaces SHA256) - Rate limiting: 5 failed logins → 15-min lockout - Session + login attempt cleanup goroutine (hourly) - url.QueryEscape / encodeURIComponent for all API params - Fail-hard startup when no TLS and non-loopback bind - ADMIN_PASSWORD required (no default), password min 12 chars - Username regex whitelist Installer hardening (Setup.wxs): - util:PermissionEx restricts SCM access: only Administrators + SYSTEM can start/stop/reconfigure service. Authenticated Users limited to QueryStatus/QueryConfig/Interrogate - Vital="yes" on ServiceInstall Docs & roadmap: - PRODUCTION_ROADMAP.md: 5-milestone plan (security + features + distribution + ops) with granular tasks, effort, done-when - CLIENT_SECURITY_AUDIT.md, SECURITY_FIXES.md, DEPLOYMENT.md - AI assistant rules (.cursorrules, .antigravityrules, etc.) Build & distribution: - build-msi.ps1, deploy-and-sign.ps1, sign-release.ps1 - redeploy.ps1, tray-deploy.ps1, test-msi.ps1 - installer/msi/ alternative WXS setup - Restored .github/workflows/ removed in mirror cleanup .gitignore hardened: *.pfx, *.p12, *.key, *.pem, .env*
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Pattern Selection Guidelines
Decision trees for choosing architectural patterns.
Main Decision Tree
START: What's your MAIN concern?
┌─ Data Access Complexity?
│ ├─ HIGH (complex queries, testing needed)
│ │ → Repository Pattern + Unit of Work
│ │ VALIDATE: Will data source change frequently?
│ │ ├─ YES → Repository worth the indirection
│ │ └─ NO → Consider simpler ORM direct access
│ └─ LOW (simple CRUD, single database)
│ → ORM directly (Prisma, Drizzle)
│ Simpler = Better, Faster
│
├─ Business Rules Complexity?
│ ├─ HIGH (domain logic, rules vary by context)
│ │ → Domain-Driven Design
│ │ VALIDATE: Do you have domain experts on team?
│ │ ├─ YES → Full DDD (Aggregates, Value Objects)
│ │ └─ NO → Partial DDD (rich entities, clear boundaries)
│ └─ LOW (mostly CRUD, simple validation)
│ → Transaction Script pattern
│ Simpler = Better, Faster
│
├─ Independent Scaling Needed?
│ ├─ YES (different components scale differently)
│ │ → Microservices WORTH the complexity
│ │ REQUIREMENTS (ALL must be true):
│ │ - Clear domain boundaries
│ │ - Team > 10 developers
│ │ - Different scaling needs per service
│ │ IF NOT ALL MET → Modular Monolith instead
│ └─ NO (everything scales together)
│ → Modular Monolith
│ Can extract services later when proven needed
│
└─ Real-time Requirements?
├─ HIGH (immediate updates, multi-user sync)
│ → Event-Driven Architecture
│ → Message Queue (RabbitMQ, Redis, Kafka)
│ VALIDATE: Can you handle eventual consistency?
│ ├─ YES → Event-driven valid
│ └─ NO → Synchronous with polling
└─ LOW (eventual consistency acceptable)
→ Synchronous (REST/GraphQL)
Simpler = Better, Faster
The 3 Questions (Before ANY Pattern)
- Problem Solved: What SPECIFIC problem does this pattern solve?
- Simpler Alternative: Is there a simpler solution?
- Deferred Complexity: Can we add this LATER when needed?
Red Flags (Anti-patterns)
| Pattern | Anti-pattern | Simpler Alternative |
|---|---|---|
| Microservices | Premature splitting | Start monolith, extract later |
| Clean/Hexagonal | Over-abstraction | Concrete first, interfaces later |
| Event Sourcing | Over-engineering | Append-only audit log |
| CQRS | Unnecessary complexity | Single model |
| Repository | YAGNI for simple CRUD | ORM direct access |