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Architecture
Deep-dive reference pages for the canonical 20-layer Super App OS Architecture. These routes are intentionally stable for onboarding, architecture reviews, and implementation planning.
How to use this
Each layer defines responsibilities, contracts, and operational expectations. Use it to align implementation work (what ships) with governance (how it stays safe).
Purpose
Stable reference pages for reviews and onboarding.
What’s “live” here
Canonical layer definitions with production checklists.
What to do next
Open a layer → map to modules → validate contracts.
20-Layer Super App OS Architecture
1. System Kernel
Foundational runtime primitives: scheduling, isolation boundaries, capability bootstrapping, and core platform contracts.
2. Platform Runtime
Execution environment for services and apps: language runtimes, container/runtime policy, upgrade strategy, and performance envelopes.
3. Infrastructure Fabric
Compute, networking, storage, edge, and multi-region topology: reliability, resilience, and global routing foundations.
4. Data Fabric
Data models and persistence across stores: consistency strategy, partitioning/sharding, caching layers, and data lifecycle controls.
5. API & Integration Gateway
Unified ingress/egress: API management, rate limiting, versioning, partner integration, and protocol mediation.
6. Domain Architecture (DDD)
Domain-driven boundaries: bounded contexts, ubiquitous language, domain services, and anti-corruption layers for clean evolution.
7. State & Flow Management
State machines and workflow control: orchestration patterns, sagas, idempotency, and deterministic state transitions.
8. Event & Message Fabric
Messaging backbone: pub/sub, streaming, queues, backpressure, and delivery guarantees for real-time and async workloads.
9. Identity & Access Control
Identity primitives and policy enforcement: authentication, authorization, session management, RBAC/ABAC, and tenant boundaries.
10. Security & Compliance
Security posture and compliance controls: encryption, secrets, audit trails, threat modeling, and regulatory alignment.
11. Content & Knowledge Governance
Content lifecycle controls: moderation, classification, retention, provenance, and knowledge management policies.
12. Analytics & Observability
Operational visibility: logs, metrics, traces, SLOs, analytics pipelines, and diagnostics for reliability at scale.
13. Intelligence & AI Engine
AI/ML capabilities: model routing, inference, embeddings, agent tooling hooks, evaluation, and safety controls.
14. Automation & Orchestration
Automated operations and workflows: job scheduling, runbooks, policy-driven automation, and cross-system orchestration.
15. Ecosystem & Multi-Tenancy
Partner ecosystem and tenant model: isolation, quotas, billing surfaces, extension points, and governance per tenant.
16. Experience Architecture (Story-Driven UX)
User journeys as architecture: narrative flows, information architecture, accessibility, and experience consistency across surfaces.
17. Design System & UI Engine
UI primitives and tokens: component library, theming, motion, interaction standards, and cross-platform design consistency.
18. Frontend Rendering
Rendering strategy: SSR/SSG/ISR, hydration boundaries, performance budgets, and rendering pipelines for web/mobile shells.
19. Distribution & Delivery
Release and delivery channels: CDN distribution, app store pipelines, CI/CD, rollout strategies, and runtime updates.
20. Governance & Evolution
Long-term integrity: standards, decision logs, change control, architecture reviews, and evolutionary design constraints.