Application Patterns & Adoption
Reaktor can be adopted in two primary ways: starting a new (greenfield) project or integrating it into an existing (brownfield) system.
Greenfield Application Patterns
The following patterns are easily scaffoldable via the reaktor-cli:
| Application Type | Reaktor Modules | Key Benefit |
|---|---|---|
| Social / Community | Graph + Auth + DB + Mesh + Actors + UI | Offline-first, real-time P2P with graph-based recommendations. |
| E-Commerce | Graph + Auth + DB + Service + Workers | Durable Object inventory coordination and multi-region typed contracts. |
| EdTech / Learning | Graph + Auth + DB + AI Nodes + Actors | Knowledge graphs, AI learning paths, and collaborative study. |
| IoT Dashboard | Graph + Mesh + Actors + Telemetry + C++ | Sensor actors, SIMD signal processing, and edge inference. |
| Multiplayer Game | Graph + Mesh + Actors + C++ | P2P WebRTC, actor game state, and SIMD physics. |
| Enterprise Tool | Graph + Auth + DB + Service + RN bridge | Typed RPC, RBAC auth, and offline field applications. |
| AI-Powered SaaS | Graph + Auth + AI Nodes + Agents | Agents as graph nodes with caching, fallbacks, and usage tracking. |
Brownfield Adoption for Existing Systems
For organizations with mature codebases (e.g., Myntra or Flipkart), a phased adoption strategy is recommended:
- Months 1-2: Feature Integration: Integrate Reaktor into a single feature. The service layer handles offline caching and typed API contracts while the existing backend remains unchanged.
- Months 3-4: Introspection: Add telemetry and the Blueprint editor to visualize the system as a live graph, helping convert skeptics within the organization.
- Months 5-6: Proxying: Use
ServiceNodeproxies to connect Reaktor to existing backend services. The backend remains untouched, while frontend code begins to leverage Reaktor's benefits. - Months 7-12: Full Platform Adoption: Gradually transition to using the Reaktor Mesh for real-time features, Durable Objects for edge caching, and AI agents.
Key Selling Point for Enterprise
Reaktor doesn't replace existing systems; it wraps them in a typed, observable, and deployable graph. For example, Spring Boot services can become graph nodes via ServiceNode proxies, making the entire system visible and composable without throwing away any existing investments.