Checklist:

• [ ] Clear separation of concerns
• [ ] Business logic separated from transport layer
• [ ] Business logic separated from persistence layer
• [ ] Dependency Injection used
• [ ] SOLID principles applied appropriately
• [ ] High cohesion
• [ ] Low coupling
• [ ] Scalable design
• [ ] Maintainable design

Recommended Structure:

cmd/
├── api/
├── worker/

internal/
├── domain/
├── service/
├── repository/
├── transport/
│   ├── http/
│   ├── grpc/
│   └── middleware/
├── infrastructure/
├── config/
└── dto/

pkg/

tests/

Review Questions:

• [ ] Can business logic run without HTTP?
• [ ] Can business logic run without database?
• [ ] Can business logic be reused?

Checklist:

• [ ] Single responsibility packages
• [ ] No circular dependencies
• [ ] Clear package boundaries
• [ ] Minimal exported symbols
• [ ] Internal package used correctly

Good:

user/
payment/
inventory/
notification/

Bad:

utils/
helpers/
common/
misc/
shared/

Review Questions:

• [ ] Is package purpose obvious?
• [ ] Can package be tested independently?
• [ ] Is dependency direction correct?

Checklist:

• [ ] Small interfaces
• [ ] Consumer-defined interfaces
• [ ] Interface segregation respected
• [ ] Composition preferred

Good:

type UserRepository interface {
    GetByID(ctx context.Context, id int64) (*User, error)
}

Bad:

type Repository interface {
    Create()
    Update()
    Delete()
    Search()
    Login()
    SendEmail()
}

Review Questions:

• [ ] Is interface minimal?
• [ ] Can implementation change without affecting consumers?

Checklist:

• [ ] No ignored errors
• [ ] Errors wrapped properly
• [ ] Meaningful messages
• [ ] Context preserved

Good:

if err != nil {
    return fmt.Errorf(
        "create order: %w",
        err,
    )
}

Bad:

result, _ := repository.Get()

Review Questions:

• [ ] Can root cause be identified?
• [ ] Can logs explain failure?

Checklist:

• [ ] context.Context is first parameter
• [ ] Context propagated correctly
• [ ] Cancellation supported
• [ ] Timeouts configured

Good:

func CreateOrder(
    ctx context.Context,
    req Request,
) error

Bad:

func CreateOrder(
    req Request,
) error

Review Questions:

• [ ] Can request be cancelled?
• [ ] Can timeout stop execution?

Checklist:

• [ ] No goroutine leaks
• [ ] Lifecycle managed
• [ ] Context respected
• [ ] Panic recovery considered

Example:

go func() {
    select {
    case <-ctx.Done():
        return
    }
}()

Checklist:

• [ ] Proper ownership
• [ ] Proper closing
• [ ] No deadlocks
• [ ] Buffered channels justified

Review Questions:

• [ ] Can goroutines stop safely?
• [ ] Can system survive high load?

Checklist:

• [ ] Thin handlers
• [ ] Validation performed
• [ ] Business logic delegated
• [ ] Consistent response format
• [ ] Proper HTTP status codes

Good:

func CreateOrder(
    w http.ResponseWriter,
    r *http.Request,
) {
    service.Create(...)
}

Bad:

func CreateOrder(
    w http.ResponseWriter,
    r *http.Request,
) {
    // validation
    // business logic
    // SQL
}

Review Questions:

• [ ] Can handlers remain simple?
• [ ] Can business logic be tested separately?

Checklist:

• [ ] Parameterized queries
• [ ] Proper indexes
• [ ] Pagination used
• [ ] No N+1 problems

Good:

db.Query(
    "SELECT * FROM users WHERE id=?",
    id,
)

Bad:

query := fmt.Sprintf(
    "SELECT * FROM users WHERE id=%d",
    id,
)

Checklist:

• [ ] Atomic operations protected
• [ ] Rollbacks handled
• [ ] Commit errors checked

Review Questions:

• [ ] Can data become inconsistent?
• [ ] Are failures recoverable?

Checklist:

• [ ] JWT validated
• [ ] Password hashing secure
• [ ] Session security reviewed

Good:

bcrypt.GenerateFromPassword(...)

Bad:

md5.Sum(...)

Checklist:

• [ ] Resource ownership checked
• [ ] Role checks enforced
• [ ] Least privilege applied

Checklist:

• [ ] Validation everywhere
• [ ] SQL Injection prevention
• [ ] XSS prevention
• [ ] SSRF prevention

Checklist:

• [ ] No secrets in code
• [ ] Environment variables used
• [ ] Secret manager considered

Review Questions:

• [ ] Can attacker access sensitive data?
• [ ] Are permissions minimized?

Checklist:

• [ ] Structured logging
• [ ] Correlation IDs
• [ ] Error logging
• [ ] Business event logging

Good:

logger.Info(
    "order_created",
    "order_id",
    orderID,
)

Bad:

fmt.Println(orderID)

Review Questions:

• [ ] Can production issues be diagnosed?
• [ ] Can request flow be traced?

Checklist:

• [ ] Configuration centralized
• [ ] Environment-specific configs
• [ ] Startup validation
• [ ] Sensible defaults

Example:

APP_PORT
DB_HOST
DB_NAME
REDIS_HOST

Review Questions:

• [ ] Can configuration be changed safely?
• [ ] Can secrets be rotated?

Checklist:

• [ ] Memory allocations optimized
• [ ] Database queries optimized
• [ ] Connection pools configured
• [ ] Caching strategy exists

Checklist:

• [ ] pprof enabled
• [ ] CPU profile reviewed
• [ ] Memory profile reviewed

Commands:

go tool pprof

Review Questions:

• [ ] Can application handle 10x traffic?
• [ ] Are bottlenecks identified?

Checklist:

• [ ] Service tests
• [ ] Domain tests
• [ ] Business rule tests

Checklist:

• [ ] Database tests
• [ ] API tests
• [ ] Queue tests

Targets:

• [ ] Critical logic > 90%
• [ ] Overall > 70%

Commands:

go test ./...
go test -cover ./...

Review Questions:

• [ ] Can critical bugs be caught?
• [ ] Is regression risk minimized?

Checklist:

• [ ] Retry policy defined
• [ ] Dead letter queue configured
• [ ] Idempotent processing
• [ ] Backoff strategy

Review Questions:

• [ ] Can jobs be retried safely?
• [ ] Can duplicate processing occur?

Checklist:

• [ ] Request count
• [ ] Error rate
• [ ] Latency
• [ ] Business metrics

Checklist:

• [ ] Distributed tracing
• [ ] Request tracing
• [ ] Context propagation

Review Questions:

• [ ] Can incidents be diagnosed quickly?
• [ ] Can slow requests be identified?

Checklist:

• [ ] Stateless design
• [ ] Health endpoint
• [ ] Readiness endpoint
• [ ] Metrics endpoint
• [ ] Graceful shutdown

Endpoints:

/health
/ready
/metrics

Review Questions:

• [ ] Can service run in Kubernetes?
• [ ] Can service scale horizontally?

Checklist:

• [ ] SIGTERM handled
• [ ] HTTP server shutdown
• [ ] Worker shutdown
• [ ] DB connections closed

Example:

server.Shutdown(ctx)

Review Questions:

• [ ] Can deployments happen safely?
• [ ] Can requests finish gracefully?

Checklist:

• [ ] gofmt
• [ ] golangci-lint
• [ ] Unit tests
• [ ] Security scans
• [ ] Automated deployments

Pipeline:

Git Push
 ↓
gofmt
 ↓
golangci-lint
 ↓
Unit Tests
 ↓
Build
 ↓
Docker Build
 ↓
Deploy

Review Questions:

• [ ] Can bad code reach production?
• [ ] Can rollback happen safely?

Checklist:

• [ ] Retry strategy
• [ ] Timeout strategy
• [ ] Circuit breaker considered
• [ ] Rate limiting implemented

Checklist:

• [ ] Horizontal scaling
• [ ] Shared cache
• [ ] Shared storage
• [ ] Queue scaling

Checklist:

• [ ] Backup strategy
• [ ] Restore procedures
• [ ] Runbooks documented

Review Questions:

• [ ] Can service survive failures?
• [ ] Can service recover quickly?

1. [ ] Is code simple?
2. [ ] Is business logic framework-independent?
3. [ ] Are interfaces small?
4. [ ] Is context propagated correctly?
5. [ ] Are errors handled properly?
6. [ ] Are goroutines leak-free?
7. [ ] Is application observable?
8. [ ] Can service scale horizontally?
9. [ ] Can another engineer maintain it in 6 months?
10. [ ] Will this wake me up at 3 AM?

If all answers are YES, the Golang application is Production Ready.

Overall Production Grade Target: >= 85%