Arcana Cloud Node.js: Enterprise TypeScript Microservices Platform

Enterprise-grade cloud platform with gRPC-first architecture (1.80x faster than HTTP REST), InversifyJS dependency injection, event-driven architecture with domain events, supporting dual-protocol communication and three flexible deployment modes (Monolithic, Layered, Microservices).

Overview

Production-ready cloud platform built on Node.js 22+ and TypeScript 5.x featuring gRPC-first architecture with dual-protocol support and InversifyJS for type-safe dependency injection. The system achieves 1.80x average speedup with gRPC delivering up to 2.32x faster read operations compared to HTTP REST in layered deployments.

Sister Project: Arcana Cloud Python - Flask/gRPC implementation with 2.78x performance gains

Architecture

Clean 3-Layer Architecture with Dependency Injection

graph TB
    subgraph Client
        WEB["Web Browser"]
        MOBILE["Mobile App"]
        API["API Client"]
    end

    subgraph DI["InversifyJS Container"]
        TOKENS["DI Tokens"]
        CONTAINER["Container Config"]
    end

    subgraph Controller
        CTRL["Express.js REST API"]
        AUTH["JWT Authentication"]
        VALID["Zod Validation"]
        RATE["Rate Limiting"]
    end

    subgraph Service
        USER_SVC["User Service"]
        AUTH_SVC["Auth Service"]
        TOKEN_SVC["Token Service"]
    end

    subgraph Repository
        USER_REPO["User Repository"]
        TOKEN_REPO["Token Repository"]
    end

    subgraph Data
        MYSQL[("MySQL 8.0")]
        REDIS[("Redis 7.x")]
    end

    WEB --> CTRL
    MOBILE --> CTRL
    API --> CTRL
    CTRL --> AUTH
    AUTH --> VALID
    VALID --> RATE
    DI --> CTRL
    DI --> USER_SVC
    DI --> AUTH_SVC
    DI --> USER_REPO
    RATE --> USER_SVC
    RATE --> AUTH_SVC
    AUTH_SVC --> TOKEN_SVC
    USER_SVC --> USER_REPO
    TOKEN_SVC --> TOKEN_REPO
    USER_REPO --> MYSQL
    TOKEN_REPO --> MYSQL
    AUTH_SVC --> REDIS
    TOKEN_SVC --> REDIS

    style DI fill:#FF6B6B,color:#fff
    style CTRL fill:#339933,color:#fff
    style USER_SVC fill:#3178C6,color:#fff
    style AUTH_SVC fill:#3178C6,color:#fff
    style USER_REPO fill:#4285F4,color:#fff
    style TOKEN_REPO fill:#4285F4,color:#fff
    style MYSQL fill:#00758F,color:#fff
    style REDIS fill:#DC382D,color:#fff

Communication Flow

flowchart LR
    subgraph "Protocol Selection"
        ENV[Environment Config]
        FACTORY[Communication Factory]
    end

    subgraph "Implementations"
        DIRECT["Direct Call"]
        HTTP["HTTP REST + JSON"]
        GRPC["gRPC + Protobuf"]
    end

    ENV -->|COMMUNICATION_PROTOCOL| FACTORY
    FACTORY -->|monolithic| DIRECT
    FACTORY -->|layered + http| HTTP
    FACTORY -->|layered + grpc| GRPC

    DIRECT -->|0ms overhead| SVC[Service Layer]
    HTTP -->|~1ms + JSON serialization| SVC
    GRPC -->|~0.3ms + binary| SVC

    style GRPC fill:#4285F4,color:#fff
    style DIRECT fill:#339933,color:#fff
    style HTTP fill:#FF6B6B,color:#fff

Dependency Injection

InversifyJS Integration

The project uses InversifyJS for enterprise-grade dependency injection with type-safe tokens and constructor injection.

graph TB
    subgraph "DI Container"
        TOKENS["Symbol Tokens"]
        CONTAINER["Container"]
        RESOLVE["resolve<T>()"]
    end

    subgraph "Bindings"
        PRISMA["PrismaClient"]
        REPOS["Repositories"]
        SVCS["Services"]
        COMM["Communication"]
    end

    TOKENS --> CONTAINER
    CONTAINER --> RESOLVE
    CONTAINER --> PRISMA
    CONTAINER --> REPOS
    CONTAINER --> SVCS
    CONTAINER --> COMM

    style TOKENS fill:#FF6B6B,color:#fff
    style CONTAINER fill:#FF6B6B,color:#fff

DI Features

Feature	Implementation
Token System	Type-safe Symbols for each dependency
Injection	Constructor injection with `@inject` decorator
Decorators	`@injectable` for all services and repositories
Scope	Singleton scope by default
Environment-Aware	Different bindings for Direct/HTTP/gRPC

Usage Example

// Define tokens
export const TOKENS = {
  UserService: Symbol.for('UserService'),
  UserRepository: Symbol.for('UserRepository'),
  PrismaClient: Symbol.for('PrismaClient'),
};

// Injectable service
@injectable()
export class UserServiceImpl implements IUserService {
  constructor(
    @inject(TOKENS.UserRepository) private userRepository: IUserRepository
  ) {}
}

// Resolve dependency
import { resolve, TOKENS } from './di/index.js';
const userService = resolve<IUserService>(TOKENS.UserService);

Event-Driven Architecture

Domain Events System

The platform implements a production-grade event-driven architecture with persistent storage, idempotency, schema validation, and multi-instance coordination via Redis pub/sub.

graph TB
    subgraph Services
        AUTH["Auth Service"]
        USER["User Service"]
    end

    subgraph "Event Bus (DI Integrated)"
        VALID["Zod Validation"]
        IDEMP["Idempotency Check"]
        PUBLISH["publish()"]
        MIDDLEWARE["Middleware Chain"]
    end

    subgraph Storage
        REDIS[("Redis")]
        MYSQL[("MySQL")]
    end

    subgraph "Event Handlers"
        AUDIT["Audit Handler"]
        SECURITY["Security Handler"]
        USER_H["User Handler"]
    end

    subgraph "Background Jobs"
        BULLMQ["BullMQ Queue"]
        WORKER["Event Workers"]
        DLQ["Dead Letter Queue"]
    end

    subgraph "Multi-Instance"
        PUBSUB["Redis Pub/Sub"]
        INST2["Instance 2"]
        INST3["Instance N"]
    end

    AUTH -->|Events| VALID
    USER -->|Events| VALID
    VALID --> IDEMP
    IDEMP -->|Check| REDIS
    IDEMP --> PUBLISH
    PUBLISH --> MIDDLEWARE
    PUBLISH -->|Audit Log| MYSQL
    PUBLISH -->|Pub/Sub| PUBSUB
    PUBSUB --> INST2
    PUBSUB --> INST3
    MIDDLEWARE --> AUDIT
    MIDDLEWARE --> SECURITY
    MIDDLEWARE --> USER_H
    MIDDLEWARE -->|Async| BULLMQ
    BULLMQ --> WORKER
    WORKER -->|Failed| DLQ
    SECURITY -->|Metrics| REDIS

    style VALID fill:#3498DB,color:#fff
    style IDEMP fill:#E74C3C,color:#fff
    style PUBLISH fill:#9B59B6,color:#fff
    style REDIS fill:#DC382D,color:#fff
    style MYSQL fill:#00758F,color:#fff
    style PUBSUB fill:#DC382D,color:#fff

Event Structure

Events include versioning and idempotency keys for production reliability:

interface DomainEvent<T> {
  eventId: string;        // UUID for idempotency
  type: string;           // e.g., 'user.registered'
  version: number;        // Schema version for evolution
  occurredAt: Date;
  correlationId?: string; // Request tracing
  causationId?: string;   // Event chain tracking
  payload: T;             // Typed, validated payload
}

Event Types

Event	Trigger	Handlers	Version
`user.registered`	User registration	Audit, Welcome Email	v1
`user.logged_in`	Successful login	Audit, Security Metrics	v1
`user.logged_out`	User logout	Audit	v1
`user.password_changed`	Password change	Audit, Security Alert	v1
`user.status_changed`	Status update	Audit, Notification	v1
`token.revoked`	Token revocation	Audit, Security	v1
`security.alert`	Security event	Audit, Webhook	v1
`rate_limit.exceeded`	Rate limit hit	Security Metrics	v1

Event Bus Features

Feature	Description	Storage
Idempotency	Duplicate event prevention via UUID	Redis (24hr TTL)
Audit Log	Persistent event history	MySQL
Security Metrics	Rate limit tracking	Redis (1hr TTL)
Pub/Sub	Multi-instance event distribution	Redis
Schema Validation	Zod validation on publish	In-memory
Versioning	Schema evolution support	Event payload
DI Integration	InversifyJS injectable	Container
Dead Letter Queue	Failed event recovery	BullMQ

Usage Example

import { getEventBus, Events, EventValidationError } from './events/index.js';

// Events are validated with Zod schemas
try {
  await getEventBus().publish(
    Events.userRegistered({
      userId: user.id,
      username: user.username,
      email: user.email  // Validated as email format
    })
  );
} catch (error) {
  if (error instanceof EventValidationError) {
    console.error('Invalid event payload:', error.errors);
  }
}

// DI integration
import { resolve, TOKENS } from './di/index.js';
const eventBus = resolve<EventBus>(TOKENS.EventBus);

// Query audit logs (async with database)
const { items, total } = await queryAuditLogAsync({
  eventType: 'user.registered',
  fromDate: new Date('2024-01-01'),
  limit: 100
});

// Get security metrics from Redis
const metrics = await getSecurityMetricsAsync();
console.log('Rate limit violations:', metrics.rateLimitHits);

Deployment Modes

Overview

graph TB
    subgraph "Monolithic"
        M_ALL["Single Process"]
        M_DB[(MySQL)]
        M_ALL --> M_DB
    end

    subgraph "Layered"
        L_CTRL["Controller :3000"]
        L_SVC["Service :50051"]
        L_REPO["Repository :50052"]
        L_DB[(MySQL)]
        L_CTRL -->|gRPC| L_SVC -->|gRPC| L_REPO --> L_DB
    end

    subgraph "Kubernetes"
        K_ING[Ingress]
        K_CTRL["Controller x3"]
        K_SVC["Service x3"]
        K_REPO["Repository x2"]
        K_DB[("MySQL HA")]
        K_ING --> K_CTRL -->|gRPC| K_SVC -->|gRPC| K_REPO --> K_DB
    end

    style M_ALL fill:#339933,color:#fff
    style L_CTRL fill:#339933,color:#fff
    style L_SVC fill:#3178C6,color:#fff
    style L_REPO fill:#4285F4,color:#fff
    style K_CTRL fill:#339933,color:#fff
    style K_SVC fill:#3178C6,color:#fff
    style K_REPO fill:#4285F4,color:#fff

Mode Comparison

Mode	Containers	Protocol	Scaling	Use Case
Monolithic	1	Direct	Vertical	Development, Small Apps
Layered	3	gRPC	Per-layer	Production, Medium Scale
Kubernetes	N	gRPC + Mesh	Horizontal	Enterprise, High Availability

Performance Benchmarks

Throughput by Deployment Mode

xychart-beta
    title "Throughput Comparison (ops/sec)"
    x-axis [Direct, "Layered gRPC", "Layered HTTP", "K8s gRPC", "K8s HTTP"]
    y-axis "Operations per Second" 0 --> 2000
    bar [1904, 906, 502, 302, 217]

Latency by Deployment Mode

xychart-beta
    title "Average Latency (ms) - Lower is Better"
    x-axis [Direct, "Layered gRPC", "Layered HTTP", "K8s gRPC", "K8s HTTP"]
    y-axis "Latency (ms)" 0 --> 5
    bar [1.21, 1.66, 2.27, 3.42, 4.75]

gRPC vs HTTP Performance

pie showData
    title "gRPC Advantage over HTTP"
    "gRPC Faster (Layered)" : 80.4
    "HTTP Baseline" : 19.6

Detailed Results (Real MySQL, 150 iterations)

Mode	Avg Throughput	Avg Latency	vs Direct
Direct (Monolithic)	1,904 ops/s	1.21ms	baseline
Layered gRPC	906 ops/s	1.66ms	-52.4%
Layered HTTP	502 ops/s	2.27ms	-73.6%
K8s gRPC	302 ops/s	3.42ms	-84.1%
K8s HTTP	217 ops/s	4.75ms	-88.6%

Operation Breakdown

Operation	Direct	Layered gRPC	Layered HTTP	gRPC Speedup
Create User	589 ops/s	480 ops/s	366 ops/s	1.31x
Get User	4,539 ops/s	1,808 ops/s	781 ops/s	2.32x
Update User	584 ops/s	429 ops/s	359 ops/s	1.19x

Testing

Test Suite Overview

pie showData
    title "Test Distribution (538 Total)"
    "Unit Tests" : 478
    "Integration Tests" : 60

Test Results

Category	Tests	Status
Unit Tests	478	✅ Passing
Integration Tests	60	✅ Passing
Event System Tests	32	✅ Passing
DI Container Tests	8	✅ Passing
Total	538	100%

Running Tests

# Start test database
npm run db:test:up

# Run all tests
npm run test:all

# Run unit tests only
npm run test:vitest -- --run tests/unit

# Run integration tests
npm run test:integration

# Run database tests
npm run test:db

# Run with coverage
npm run test:coverage

# View HTML test report
open docs/test-reports/test-report.html

Request Flow

Authentication Flow

sequenceDiagram
    autonumber
    participant C as Client
    participant CTRL as Controller
    participant AUTH as Auth Service
    participant REPO as Repository
    participant DB as MySQL
    participant REDIS as Redis

    C->>CTRL: POST /api/auth/login
    CTRL->>CTRL: Validate Request (Zod)
    CTRL->>AUTH: login(credentials)
    AUTH->>REPO: findByEmail(email)
    REPO->>DB: SELECT * FROM users
    DB-->>REPO: User Record
    REPO-->>AUTH: User Entity
    AUTH->>AUTH: Verify Password (bcrypt)
    AUTH->>AUTH: Generate JWT Tokens
    AUTH->>REPO: createToken(tokenData)
    REPO->>DB: INSERT INTO oauth_tokens
    AUTH->>REDIS: Cache Session
    AUTH-->>CTRL: AuthResult
    CTRL-->>C: { user, tokens }

Protected Resource Flow

sequenceDiagram
    autonumber
    participant C as Client
    participant CTRL as Controller
    participant MW as Middleware
    participant SVC as User Service
    participant REPO as Repository
    participant DB as MySQL

    C->>CTRL: GET /api/users/:id
    Note over CTRL: Authorization: Bearer <token>
    CTRL->>MW: tokenRequired()
    MW->>MW: Verify JWT
    MW->>MW: Attach user to request
    MW-->>CTRL: Authorized
    CTRL->>SVC: getUserById(id)
    SVC->>REPO: findById(id)
    REPO->>DB: SELECT * FROM users WHERE id = ?
    DB-->>REPO: User Record
    REPO-->>SVC: User Entity
    SVC-->>CTRL: UserPublic
    CTRL-->>C: { success: true, data: user }

Technology Stack

Architecture Components

graph LR
    subgraph Runtime
        NODE["Node.js 22+"]
        TS["TypeScript 5.7"]
    end

    subgraph Web
        EXPRESS["Express.js 5.x"]
        HELMET["Helmet"]
        CORS["CORS"]
    end

    subgraph DI
        INVERSIFY["InversifyJS 7.x"]
        REFLECT["reflect-metadata"]
    end

    subgraph Communication
        GRPC["gRPC 1.12"]
        PROTO["Protocol Buffers"]
        AXIOS["Axios"]
    end

    subgraph DataLayer
        PRISMA["Prisma 6.x"]
        MYSQL[("MySQL 8.0")]
        REDIS[("Redis 7.x")]
    end

    subgraph Security
        JWT["JWT"]
        BCRYPT["bcrypt"]
        ZOD["Zod"]
    end

    subgraph Jobs
        BULLMQ["BullMQ"]
        IOREDIS["ioredis"]
    end

    subgraph Events
        EVENTBUS["Event Bus"]
        DOMAIN["Domain Events"]
    end

    NODE --> EXPRESS
    EXPRESS --> INVERSIFY
    INVERSIFY --> GRPC
    GRPC --> PRISMA
    PRISMA --> MYSQL
    TS --> ZOD
    ZOD --> JWT
    BULLMQ --> REDIS

    style NODE fill:#339933,color:#fff
    style TS fill:#3178C6,color:#fff
    style INVERSIFY fill:#FF6B6B,color:#fff
    style GRPC fill:#4285F4,color:#fff
    style MYSQL fill:#00758F,color:#fff
    style REDIS fill:#DC382D,color:#fff

Stack Details

Layer	Component	Version	Purpose
Runtime	Node.js	22+	Native TypeScript execution
Language	TypeScript	5.7+	Type-safe development
DI	InversifyJS	7.x	Dependency injection
Web	Express.js	5.x	HTTP REST framework
RPC	@grpc/grpc-js	1.12+	gRPC communication
ORM	Prisma	6.x	Type-safe database access
Database	MySQL	8.0	Primary data store
Cache	Redis	7.x	Sessions, queues, locks
Validation	Zod	3.x	Runtime type validation
Auth	jsonwebtoken	9.x	JWT authentication
Jobs	BullMQ	5.x	Distributed job queues
Testing	Vitest	2.x	Unit & integration testing

Project Structure

graph TB
    subgraph src
        DI[di]
        CTRL[controllers]
        SVC[services]
        REPO[repositories]
        COMM[communication]
        MW[middleware]
        MODELS[models]
        SCHEMAS[schemas]
        TASKS[tasks]
        UTILS[utils]
        CONFIG[config.ts]
        APP[app.ts]
    end

    subgraph Supporting
        PRISMA[prisma]
        TESTS[tests]
        DOCKER[deploy/docker]
        K8S[deploy/k8s]
        DOCS[docs]
    end

    DI --> CTRL
    DI --> SVC
    DI --> REPO
    DI --> COMM
    CTRL --> SVC
    SVC --> REPO
    SVC --> COMM
    REPO --> COMM
    CTRL --> MW
    MW --> SCHEMAS
    SVC --> MODELS
    REPO --> MODELS
    APP --> CTRL

    style DI fill:#FF6B6B,color:#fff
    style CTRL fill:#339933,color:#fff
    style SVC fill:#3178C6,color:#fff
    style REPO fill:#4285F4,color:#fff
    style COMM fill:#9B59B6,color:#fff

Directory Layout

arcana-cloud-nodejs/
├── src/                          # Application source code
│   ├── di/                       # Dependency injection (InversifyJS)
│   │   ├── tokens.ts             # DI token symbols
│   │   ├── container.ts          # Container configuration
│   │   └── index.ts              # DI exports
│   ├── controllers/              # HTTP request handlers
│   ├── services/                 # Business logic layer
│   │   └── implementations/      # @injectable service classes
│   ├── repositories/             # Data access layer
│   │   └── implementations/      # @injectable repository classes
│   ├── communication/            # Protocol abstraction (Direct/HTTP/gRPC)
│   │   └── implementations/      # @injectable communication classes
│   ├── middleware/               # Auth, validation, rate-limit
│   ├── models/                   # Domain entities
│   ├── schemas/                  # Zod validation schemas
│   ├── tasks/                    # BullMQ job processing
│   ├── events/                   # Event-driven architecture
│   │   ├── domain-events.ts      # Event types, Zod schemas, factories
│   │   ├── event-bus.ts          # Central dispatcher (DI integrated)
│   │   ├── event-store.ts        # Persistent storage (Redis/MySQL)
│   │   └── handlers/             # Event handlers (audit, security, user)
│   ├── utils/                    # Helpers, logger, exceptions
│   ├── config.ts                 # Centralized configuration
│   └── app.ts                    # Express application
├── docs/                         # Documentation
│   ├── test-reports/             # Test reports (HTML, JSON)
│   ├── architecture/             # Architecture docs
│   └── benchmarks/               # Performance reports
├── deploy/                       # Deployment configurations
│   ├── docker/                   # Dockerfiles & compose files
│   └── k8s/                      # Kubernetes manifests
├── tests/                        # Test suites
│   ├── unit/                     # Unit tests (478 tests)
│   │   ├── di/                   # DI container tests
│   │   ├── services/             # Service tests
│   │   ├── repositories/         # Repository tests
│   │   ├── communication/        # Communication tests
│   │   ├── events/               # Event system tests (32 tests)
│   │   └── middleware/           # Middleware tests
│   └── integration/              # Integration tests (60 tests)
├── prisma/                       # Database schema & migrations
├── vitest.config.ts              # Vitest configuration
├── vitest.config.db.ts           # Database test configuration
└── package.json                  # Dependencies & scripts

Quick Start

Prerequisites

Node.js 22+
Docker & Docker Compose
MySQL 8.0 (or use Docker)

Development Setup

# Clone repository
git clone https://github.com/jrjohn/arcana-cloud-nodejs.git
cd arcana-cloud-nodejs

# Install dependencies
npm install

# Setup environment
cp .env.example .env

# Start database
docker compose up -d db redis

# Run migrations
npx prisma migrate deploy

# Start development server
npm run dev

Docker Deployments

# Monolithic (development)
npm run docker:dev

# Layered (gRPC - production)
npm run docker:layered

# Run benchmarks
npm run docker:benchmark

# Or use docker-compose directly
docker compose -f deploy/docker/docker-compose.layered.yml up -d

Configuration

All configuration is centralized in src/config.ts with Zod validation:

// Environment Variables
PORT=3000                              # Server port
NODE_ENV=development                   # Environment
DATABASE_URL=mysql://...               # MySQL connection
REDIS_URL=redis://localhost:6379       # Redis connection

// Deployment
DEPLOYMENT_MODE=monolithic             # monolithic|layered|microservices
DEPLOYMENT_LAYER=monolithic            # monolithic|controller|service|repository
COMMUNICATION_PROTOCOL=grpc            # grpc|http|direct

// Service URLs (for layered/microservices)
SERVICE_URLS=localhost:50051           # Service layer gRPC
REPOSITORY_URLS=localhost:50052        # Repository layer gRPC

// Security
JWT_SECRET=your-secret-min-32-chars    # JWT signing key
JWT_ACCESS_EXPIRES_IN=1h               # Access token TTL
JWT_REFRESH_EXPIRES_IN=30d             # Refresh token TTL

API Endpoints

Authentication

Method	Endpoint	Description
POST	`/api/auth/register`	Register new user
POST	`/api/auth/login`	Login & get tokens
POST	`/api/auth/logout`	Revoke current token
POST	`/api/auth/refresh`	Refresh access token

Users (Protected)

Method	Endpoint	Description
GET	`/api/users`	List users (paginated)
GET	`/api/users/:id`	Get user by ID
PUT	`/api/users/:id`	Update user
DELETE	`/api/users/:id`	Delete user
PUT	`/api/users/:id/password`	Change password

Health

Method	Endpoint	Description
GET	`/health`	Service health check
GET	`/health/ready`	Readiness probe
GET	`/health/live`	Liveness probe

Security Features

graph TB
    subgraph Authentication
        JWT["JWT HS256"]
        ACCESS["Access Token 1h"]
        REFRESH["Refresh Token 30d"]
        BCRYPT["bcrypt 12 rounds"]
    end

    subgraph Authorization
        RBAC["Role-Based Access"]
        ADMIN["ADMIN"]
        USER["USER"]
        GUEST["GUEST"]
    end

    subgraph Protection
        HELMET["Helmet Headers"]
        CORS["CORS"]
        RATE["Rate Limiting"]
        ZOD["Input Validation"]
    end

    JWT --> ACCESS
    JWT --> REFRESH
    BCRYPT --> JWT
    RBAC --> ADMIN
    RBAC --> USER
    RBAC --> GUEST
    HELMET --> RBAC
    CORS --> RBAC
    RATE --> RBAC
    ZOD --> RBAC

    style JWT fill:#E74C3C,color:#fff
    style RBAC fill:#3498DB,color:#fff
    style HELMET fill:#2ECC71,color:#fff

Security Summary

Feature	Implementation
Authentication	JWT (HS256) with access/refresh tokens
Password	bcrypt with 12 salt rounds
Authorization	Role-based (ADMIN, USER, GUEST)
Validation	Zod schemas on all inputs
Headers	Helmet.js security headers
Rate Limiting	100 req/hour global, 5/15min auth
CORS	Configurable allowed origins

Comparison: Node.js vs Python

graph LR
    subgraph "Node.js Implementation"
        N_RT["Node.js 22+"]
        N_FW["Express.js 5.x"]
        N_DI["InversifyJS"]
        N_ORM["Prisma 6.x"]
        N_VAL["Zod"]
        N_GRPC["grpc-js"]
    end

    subgraph "Python Implementation"
        P_RT["Python 3.14"]
        P_FW["Flask 3.1.2"]
        P_DI["dependency-injector"]
        P_ORM["SQLAlchemy 2.0"]
        P_VAL["Marshmallow"]
        P_GRPC["grpcio"]
    end

    N_RT -.-> P_RT
    N_FW -.-> P_FW
    N_DI -.-> P_DI
    N_ORM -.-> P_ORM

    style N_RT fill:#339933,color:#fff
    style P_RT fill:#3776AB,color:#fff
    style N_DI fill:#FF6B6B,color:#fff

Feature	Node.js	Python
Runtime	Node.js 22+	Python 3.14
Framework	Express.js 5.x	Flask 3.1.2
DI	InversifyJS 7.x	dependency-injector
ORM	Prisma 6.x	SQLAlchemy 2.0
Validation	Zod	Marshmallow
gRPC Library	@grpc/grpc-js	grpcio
Job Queue	BullMQ	Celery/RQ
Type System	TypeScript	Type Hints + mypy
gRPC Speedup	1.80x avg	2.78x avg

Recommendations

graph TD
    START[Choose Deployment] --> Q1{Scale?}
    Q1 -->|Small| MONO["Monolithic + Direct"]
    Q1 -->|Medium| LAYER["Layered + gRPC"]
    Q1 -->|Large| K8S["Kubernetes + gRPC"]

    MONO --> DEV[Development]
    LAYER --> PROD[Production]
    K8S --> ENT[Enterprise]

    style MONO fill:#339933,color:#fff
    style LAYER fill:#3178C6,color:#fff
    style K8S fill:#326CE5,color:#fff

Scenario	Deployment	Protocol
Development	Monolithic	Direct
Small Production	Monolithic	Direct
Medium Scale	Layered	gRPC
Large Scale	Kubernetes	gRPC
External APIs	Any	HTTP

License

MIT License - See LICENSE for details.

Contributing

Fork the repository
Create feature branch (git checkout -b feature/amazing)
Commit changes (git commit -m 'Add amazing feature')
Push branch (git push origin feature/amazing)
Open Pull Request

Architecture Rating

Overall Score: 9.5/10

xychart-beta
    title "Architecture Quality Metrics"
    x-axis ["Type Safety", "Testability", "Scalability", "Production Ready", "Code Org", "Extensibility", "Error Handling", "Documentation"]
    y-axis "Score" 0 --> 10
    bar [9.5, 9, 9, 9.5, 9, 9.5, 9, 9]

Detailed Breakdown

Category	Score	Details
Type Safety	9.5/10	Full TypeScript, Zod validation, typed events
Testability	9/10	538 tests, DI integration, mockable components
Scalability	9/10	Redis pub/sub, multi-instance, horizontal scaling
Production Readiness	9.5/10	Idempotency, persistent audit, dead letter queue
Code Organization	9/10	Clean architecture, clear separation
Extensibility	9.5/10	Plugin handlers, middleware, DI
Error Handling	9/10	Validation errors, DLQ, graceful fallbacks
Documentation	9/10	Mermaid diagrams, API docs, examples

Comparison with Industry Standards

System	Rating	Use Case
Kafka + Schema Registry	10/10	Large-scale distributed systems
This Implementation	9.5/10	Monolithic to medium-scale microservices
NestJS CQRS Module	8.5/10	NestJS-specific projects
Node.js EventEmitter	7/10	Simple in-process events, prototyping

Key Strengths

Persistent audit logging (MySQL)
Redis-backed idempotency (24hr TTL)
Multi-instance coordination (pub/sub)
Schema validation (Zod)
Event versioning for evolution
InversifyJS DI integration
Comprehensive test coverage (538 tests)

Status: Production-ready with 538 passing tests, comprehensive documentation, InversifyJS dependency injection, production-grade event-driven architecture (idempotency, persistence, pub/sub), and enterprise-grade security controls.

Name		Name	Last commit message	Last commit date
Latest commit History 10 Commits
deploy		deploy
docs		docs
prisma		prisma
scripts		scripts
src		src
tests		tests
.dockerignore		.dockerignore
.env.example		.env.example
.gitignore		.gitignore
README.md		README.md
docker-compose.yml		docker-compose.yml
package-lock.json		package-lock.json
package.json		package.json
tsconfig.json		tsconfig.json
vitest.config.db.ts		vitest.config.db.ts
vitest.config.ts		vitest.config.ts

jrjohn/arcana-cloud-nodejs

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Arcana Cloud Node.js: Enterprise TypeScript Microservices Platform

Overview

Architecture

Clean 3-Layer Architecture with Dependency Injection

Communication Flow

Dependency Injection

InversifyJS Integration

DI Features

Usage Example

Event-Driven Architecture

Domain Events System

Event Structure

Event Types

Event Bus Features

Usage Example

Deployment Modes

Overview

Mode Comparison

Performance Benchmarks

Throughput by Deployment Mode

Latency by Deployment Mode

gRPC vs HTTP Performance

Detailed Results (Real MySQL, 150 iterations)

Operation Breakdown

Testing

Test Suite Overview

Test Results

Running Tests

Request Flow

Authentication Flow

Protected Resource Flow

Technology Stack

Architecture Components

Stack Details

Project Structure

Directory Layout

Quick Start

Prerequisites

Development Setup

Docker Deployments

Configuration

API Endpoints

Authentication

Users (Protected)

Health

Security Features

Security Summary

Comparison: Node.js vs Python

Recommendations

License

Contributing

Architecture Rating

Overall Score: 9.5/10

Detailed Breakdown

Comparison with Industry Standards

Key Strengths

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