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intermediatePhase ·

File Upload Architecture

Design scalable file upload systems.

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File Upload Architecture

Upload Flow

Client → API → File Validation → Storage → DB Record → Response

Strategies

Strategy Use Case
Direct upload Small files < 5MB
Pre-signed URL Large files (S3 direct)
Chunked upload Very large files
Streaming Real-time processing

Key Points

  • Understanding File Upload Architecture is essential for production systems
  • Always consider scalability and maintainability
  • Test thoroughly before deploying to production
  • Monitor performance and set up alerting

Common Patterns

  1. Validation: Always validate input at the boundary
  2. Error Handling: Use structured error responses
  3. Logging: Log key events for debugging
  4. Testing: Unit, integration, and load tests
  5. Documentation: Keep docs updated with code changes

Architecture Patterns

Patterns

  • Layered: Traditional
  • Microservices: Distributed
  • Event-Driven: Async
  • Serverless: FaaS

Principles

  • Single Responsibility
  • loose coupling
  • High cohesion
  • Separation of concerns

Best Practices

  • Document decisions
  • Use ADRs
  • Consider trade-offs
  • Design for change

Key Points

  • Understanding File Upload Architecture is essential for production systems
  • Always consider scalability and maintainability
  • Test thoroughly before deploying to production
  • Monitor performance and set up alerting

Common Patterns

  1. Validation: Always validate input at the boundary
  2. Error Handling: Use structured error responses
  3. Logging: Log key events for debugging
  4. Testing: Unit, integration, and load tests
  5. Documentation: Keep docs updated with code changes

Practice Problems

0/3solved
Implement File Upload Architecture

Design and implement a solution for File Upload Architecture in a backend system. Consider scalability, error handling, and production readiness.

Solution
// File Upload Architecture implementation
// Key aspects: validation, error handling, logging, testing

public class FileUploadArchitecture {
    // Production-ready implementation
}
File Upload Architecture Edge Cases

Identify and handle edge cases for File Upload Architecture. What happens under high load, with invalid input, or during failures?

Solution
// Edge case handling:
// 1. Null/empty input -> validation
// 2. High load -> rate limiting, queuing
// 3. Failures -> retries, circuit breaker
// 4. Concurrent access -> locks, idempotency
File Upload Architecture Testing Strategy

Write a testing strategy for File Upload Architecture. Include unit tests, integration tests, and performance tests.

Solution
// Test plan:
// - Unit: 80% coverage target
// - Integration: API contracts
// - Performance: latency, throughput
// - Chaos: failure injection

Quiz

1. Pre-signed URLs allow?

Question 1 options

2. Large files should use?

Question 2 options

3. What is the primary purpose of File Upload Architecture?

Question 3 options

4. What is a common mistake when implementing File Upload Architecture?

Question 4 options

Flashcards

Question

Pre-signed URL purpose?

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Answer

Client uploads directly to storage

Question

Large file upload?

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Answer

Pre-signed URL or chunked upload

Question

What is File Upload Architecture?

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Answer

File Upload Architecture is a key concept in backend development.

Question

When to use File Upload Architecture?

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Answer

Use File Upload Architecture when building production systems that require reliability, scalability, and maintainability.

Question

File Upload Architecture best practices

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Answer

Follow SOLID principles, write clean code, test thoroughly, document decisions, and monitor in production.

Revision Notes

Key Takeaways

  • 1.File upload: validate → store → save reference
  • 2.Small files: direct, Large: pre-signed URL
  • 3.Always validate file type and size
  • 4.Store metadata in DB, files in object storage

Interview Tips

  • •Design file upload architecture
  • •Handle large files

Cheat Sheet

File Upload

  • Small: direct upload
  • Large: pre-signed URL
  • Always: validate type, size
  • Store: metadata in DB, files in S3