Objective: Build a full-featured TODO application to master Golang enterprise development patterns and ecosystem tools
Key Focus Areas:
- Microservices architecture
- Distributed systems patterns
- Cloud-native development
- Production-grade reliability
- Ecosystem tool integration
graph TD
A[Client] --> B[API Gateway]
B --> C[User Service]
B --> D[Todo Service]
B --> E[Notification Service]
B --> F[Analytics Service]
C <--> G[(PostgreSQL)]
D <--> G
D <--> H[(Redis)]
E <--> I[(Kafka)]
F <--> J[(Elasticsearch)]
F <--> K[(InfluxDB)]
| Service | Responsibility | Golang Ecosystem Tools |
|---|---|---|
| API Gateway | Request routing, rate limiting, auth | Gin, gRPC-gateway, OPA |
| User Service | Authentication, RBAC, profiles | Casbin, JWT-Go, GORM |
| Todo Service | Core todo operations, business logic | Ent, Redis, Zap |
| File Service | File storage/attachments | MinIO SDK, AWS S3 Go SDK |
| Notification | Email/SMS/push notifications | NSQ, RabbitMQ, Go-Mail |
| Analytics | Usage metrics, reporting | Prometheus, OpenTelemetry |
| Search | Full-text search | Elasticsearch Go Client |
- JWT-based authentication
- OAuth2 social login
- Role-based access control (Admin/User/Guest)
- Audit logging
- CRUD operations with versioning
- Hierarchical todos (Projects > Tasks > Subtasks)
- Due dates/reminders with timezones
- File attachments (PDF/Images)
- Comments/activity feed
- Real-time collaboration
- Recurring tasks with custom patterns
- Time tracking/pomodoro integration
- Customizable workflows (Kanban/List view)
- Data export (JSON/CSV)
- REST & GraphQL APIs
| Category | Requirements | Golang Implementation |
|---|---|---|
| Performance | <100ms API response time | fasthttp, connection pooling |
| Scalability | 10k+ concurrent users | Kubernetes, HPA |
| Reliability | 99.99% uptime | Circuit breakers, health checks |
| Security | OWASP Top 10 compliance | Go-Sec, Vault SDK |
| Observability | Full request tracing | Jaeger, OpenTelemetry |
| Maintainability | Clean architecture | Hexagonal architecture |
Service Template:
type TodoService struct {
repo TodoRepository
cache CacheProvider
eventBus EventBus
logger Logger
validator Validator
}
// Example Method
func (s *TodoService) CreateTodo(ctx context.Context, todo *Todo) error {
// Validation
if err := s.validator.Struct(todo); err != nil {
return err
}
// Database operation
if err := s.repo.Create(ctx, todo); err != nil {
return err
}
// Publish event
s.eventBus.Publish(TodoCreatedEvent{
ID: todo.ID,
Timestamp: time.Now(),
})
// Cache warmup
go s.cache.Set(ctx, todoCacheKey(todo.ID), todo, 5*time.Minute)
return nil
}Database Layer:
// Using Ent framework
func (r *TodoRepository) FindByID(ctx context.Context, id string) (*Todo, error) {
return r.client.Todo.
Query().
Where(todo.ID(id)).
WithProject().
WithSubtasks().
Only(ctx)
}Event Streaming:
// Kafka producer setup
func NewEventBus(cfg Config) (EventBus, error) {
producer, err := kafka.NewProducer(&kafka.ConfigMap{
"bootstrap.servers": cfg.KafkaBrokers,
})
// ...
}
// Event consumption
func (s *TodoService) ConsumeEvents() {
consumer.Subscribe("todo-events", nil)
for {
msg, _ := consumer.ReadMessage()
var event TodoEvent
json.Unmarshal(msg.Value, &event)
s.handleEvent(event)
}
}gantt
title Phase 1: Core System
dateFormat YYYY-MM-DD
section Infrastructure
API Gateway :done, infra1, 2024-01-01, 3d
Service Template :done, infra2, after infra1, 2d
section User Service
JWT Auth :active, auth1, 2024-01-04, 3d
RBAC System : auth2, after auth1, 2d
section Todo Service
CRUD API : todo1, 2024-01-04, 5d
Database Schema : todo2, 2024-01-04, 3d
- Real-time collaboration
- File service integration
- Notification system
- Basic monitoring
- Service mesh integration
- Advanced security features
- Auto-scaling implementation
- Chaos engineering tests
Golang Ecosystem Mastery:
pie
title Technology Coverage
"Web Frameworks" : 15
"Database Tools" : 20
"Distributed Systems" : 25
"Cloud Native" : 20
"Observability" : 10
"Testing" : 10
Key Competencies Developed:
- Microservices communication patterns (gRPC, REST)
- Event-driven architecture implementation
- Production-grade error handling
- Performance optimization techniques
- Cloud-native deployment strategies
- Distributed system debugging
| Attribute | Implementation Strategy | Verification Method |
|---|---|---|
| Scalability | Horizontal pod autoscaling | Load testing with Vegeta |
| Resilience | Circuit breaker pattern | Chaos monkey testing |
| Security | Automated vulnerability scanning | OWASP ZAP integration |
| Maintainability | Strict interface contracts | API contract testing |
| Deployability | GitOps workflow | ArgoCD rollout verification |
- OpenAPI 3.0 specifications
- Architecture Decision Records (ADRs)
- GoDoc generated documentation
- Postman collection for API testing
- Operational runbooks