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[Architecture Name]

Brief English description of this architectural component or system

Overview Diagram

graph TD
    A[Component A] --> B[Component B]
    B --> C[Component C]
    C --> D[Component D]
    
    style A fill:#e1f5ff
    style B fill:#fff4e1
    style C fill:#f0e1ff
    style D fill:#e1ffe1

Architecture Description

Detailed English explanation of the architecture, including:

Purpose and goals
Key components
Design decisions
Technology choices
Trade-offs and considerations

System Context

C4Context
    title System Context Diagram for GoodGo Microservices Platform
    
    Person(user, "End User", "Platform users")
    Person(admin, "Administrator", "System administrators")
    
    System_Boundary(platform, "GoodGo Platform") {
        System(gateway, "Traefik Gateway", "API Gateway, routing, load balancing")
        System(services, "Microservices", "IAM, Storage, Chat, Membership, etc.")
        System(rabbitmq, "RabbitMQ", "Message broker for async events")
    }
    
    System_Ext(neon, "Neon PostgreSQL", "Serverless database")
    System_Ext(redis, "Redis", "Cache and session store")
    System_Ext(minio, "MinIO/Aliyun OSS", "Object storage")
    System_Ext(monitoring, "Observability Stack", "Prometheus + Grafana + Loki + Jaeger")
    
    Rel(user, gateway, "Uses", "HTTPS")
    Rel(admin, gateway, "Manages", "HTTPS")
    Rel(gateway, services, "Routes to", "HTTP")
    Rel(services, neon, "Stores data", "PostgreSQL")
    Rel(services, redis, "Caches data", "Redis Protocol")
    Rel(services, rabbitmq, "Pub/Sub events", "AMQP")
    Rel(services, minio, "Stores files", "S3 API")
    Rel(services, monitoring, "Sends telemetry", "HTTP/gRPC")

The GoodGo Platform uses microservices architecture where all client requests go through Traefik API Gateway. Services communicate synchronously via REST/HTTP and asynchronously via RabbitMQ events. Each service has its own database schema in Neon PostgreSQL and uses Redis for caching.

Components

Component A

Description of Component A, its responsibilities, and how it fits into the overall architecture.

Key Features:

Feature 1
Feature 2
Feature 3

Technologies Used:

Technology 1
Technology 2

Code Reference:

// Example code showing how this component is implemented
import { ComponentA } from './component-a';

const componentA = new ComponentA({
  config: appConfig,
});

File Location: component-a.ts

Real-World Example: Storage Service

File storage management service supporting multiple cloud providers (MinIO, Aliyun OSS).

Key Features:

Multi-provider pattern (MinIO/Aliyun OSS)
Pre-signed URL generation for secure uploads/downloads
User quota management
File sharing with time-limited tokens
Direct client upload pattern

Technologies Used:

.NET 10, Entity Framework Core
MinIO Client, Aliyun OSS SDK
Redis (caching)
PostgreSQL (Neon)

Architecture Pattern:

// Provider abstraction
public interface IStorageProvider
{
    Task<string> UploadFileAsync(Stream fileStream, string fileName, CancellationToken ct);
    Task<string> GeneratePresignedUrlAsync(string objectKey, int expiryMinutes, CancellationToken ct);
}

// Concrete implementations
public class MinioStorageProvider : IStorageProvider { }
public class AliyunOssStorageProvider : IStorageProvider { }

// Factory pattern for provider selection
public class StorageProviderFactory
{
    public IStorageProvider CreateProvider(string providerName) { }
}

File Location: services/storage-service-net/

Real-World Example: IAM Service

Identity and Access Management service handling authentication, authorization, and RBAC.

Key Features:

JWT authentication (RS256)
Role-Based Access Control (RBAC)
MFA support (TOTP)
Session management
Permission caching

Technologies Used:

.NET 10, Duende IdentityServer
Entity Framework Core
Redis (caching)
PostgreSQL (Neon)

File Location: services/iam-service-net/

Data Flow

sequenceDiagram
    participant Client
    participant API
    participant Service
    participant Database
    
    Client->>API: Request
    API->>Service: Process
    Service->>Database: Query
    Database-->>Service: Result
    Service-->>API: Response
    API-->>Client: JSON

Detailed explanation of the data flow:

Step 1: Description
Step 2: Description
Step 3: Description

Database Architecture

erDiagram
    Entity1 ||--o{ Entity2 : has
    Entity2 ||--o{ Entity3 : contains
    
    Entity1 {
        string id PK
        string name
        datetime createdAt
    }
    
    Entity2 {
        string id PK
        string entity1Id FK
        string description
    }

Database schema description, relationships, and design decisions.

Design Decisions

Decision 1: [Decision Title]

Context: Why this decision was needed

Decision: What was decided

Consequences: Impact of the decision (positive and negative)

Alternatives Considered: Other options that were evaluated

Performance Characteristics

Description of performance expectations and optimizations based on GoodGo Platform standards.

Metric	Target	Notes
API Response Time (P95)	< 200ms	Excluding external API calls
API Response Time (P99)	< 500ms	Peak load scenarios
Throughput	1000 req/s	Per service instance
Database Query Time (P95)	< 50ms	Simple queries with indexes
Cache Hit Rate (L1)	> 40%	In-memory cache
Cache Hit Rate (L2)	> 80%	Redis cache
Service Availability	> 99.9%	Monthly uptime target
Error Rate	< 1%	4xx + 5xx errors

Optimization Strategies:

Multi-layer caching: L1 (Memory) + L2 (Redis)
Connection pooling: For PostgreSQL connections
Pagination: Max 100 items per page for list endpoints
Database indexes: On frequently queried fields
Async events: Fire-and-forget with RabbitMQ
CDN: For static assets (Next.js)

Security Considerations

Security features, authentication, authorization, data protection

Security feature 1
Security feature 2

Deployment

How this architecture is deployed and scaled in GoodGo Platform.

Traefik API Gateway Routing

# docker-compose.yml
services:
  storage-service-net:
    labels:
      - "traefik.enable=true"
      - "traefik.http.routers.storage-service.rule=PathPrefix(`/api/v1/storage`)"
      - "traefik.http.services.storage-service.loadbalancer.server.port=8080"
      - "traefik.http.routers.storage-service.middlewares=strip-prefix@docker"

Kubernetes Deployment

graph LR
    LB[Load Balancer] --> Traefik[Traefik Gateway<br/>2-3 replicas]
    Traefik --> A[Service A<br/>2-10 replicas HPA]
    Traefik --> B[Service B<br/>2-10 replicas HPA]
    Traefik --> C[Service C<br/>2-10 replicas HPA]
    A --> DB[(Neon PostgreSQL<br/>Serverless)]
    B --> DB
    C --> DB
    A --> Cache[(Redis Cluster<br/>3 nodes)]
    B --> Cache
    C --> Cache
    
    style LB fill:#1565c0,stroke:#fff,stroke-width:2px,color:#fff
    style Traefik fill:#0f4c81,stroke:#fff,stroke-width:2px,color:#fff
    style A fill:#283593,stroke:#fff,stroke-width:2px,color:#fff
    style B fill:#4527a0,stroke:#fff,stroke-width:2px,color:#fff
    style C fill:#4527a0,stroke:#fff,stroke-width:2px,color:#fff
    style DB fill:#5e35b1,stroke:#fff,stroke-width:2px,color:#fff
    style Cache fill:#ef6c00,stroke:#fff,stroke-width:2px,color:#fff

Resource Allocation:

Service	Requests	Limits
Microservices	256Mi RAM, 250m CPU	512Mi RAM, 500m CPU
Traefik	512Mi RAM, 500m CPU	1Gi RAM, 1000m CPU
Redis	2Gi RAM, 1 CPU	4Gi RAM, 2 CPU

Monitoring & Observability

How to monitor this architecture, key metrics, alerts

Key Metrics:

Metric 1
Metric 2

Health Checks:

/health/live - Liveness probe
/health/ready - Readiness probe

Architecture Documents

System Design - Overall platform architecture
Microservices Communication - Service communication patterns
Caching Architecture - Redis caching strategies
Event-Driven Architecture - RabbitMQ event patterns

Skills Reference

CQRS with MediatR - CQRS pattern
Repository Pattern - EF Core repository
Domain-Driven Design - DDD patterns

Guides

Local Development - Setup dev environment
Deployment - Kubernetes deployment

References

External Resource 1 - Description
External Resource 2 - Description

Last Updated: 2026-01-14
Authors: VelikHo (hongochai10@icloud.com)
Reviewers: Reviewer Names

9.2 KiB Raw Permalink Blame History

[Architecture Name]

Overview Diagram

Architecture Description

System Context

Components

Component A

Real-World Example: Storage Service

Real-World Example: IAM Service

Data Flow

Database Architecture

Design Decisions

Decision 1: [Decision Title]

Performance Characteristics

Security Considerations

Deployment

Traefik API Gateway Routing

Kubernetes Deployment

Monitoring & Observability

Related Documentation

Architecture Documents

Skills Reference

Guides

References

9.2 KiB

Raw Permalink Blame History