Requirements & Scope
Upload Flow (Presigned URL)
- Client requests presigned URL from API
- API generates URL with expiration (15 min)
- Client uploads directly to storage (S3)
- Client notifies API of completion
- API processes file (thumbnails, indexing)
Scale
- 1M files/day
- Average 5MB, up to 5GB
- 5TB/month storage growth
Key Points
- Understanding File Upload Service is essential for production systems
- Always consider scalability and maintainability
- Test thoroughly before deploying to production
- Monitor performance and set up alerting
Common Patterns
- Validation: Always validate input at the boundary
- Error Handling: Use structured error responses
- Logging: Log key events for debugging
- Testing: Unit, integration, and load tests
- Documentation: Keep docs updated with code changes
Architecture & Presigned URLs
Multipart Upload for Large Files
- Initiate multipart upload -> UploadId
- For each chunk (5MB-100MB): Upload part with PartNumber + ETag
- Complete multipart upload with all ETags
- If failed, abort and retry from last successful part
Storage Architecture
- Hot data (recent): S3 Standard
- Warm data (30-90 days): S3 Infrequent Access
- Cold data (90+ days): S3 Glacier
- Metadata: PostgreSQL with full-text search
Key Points
- Understanding File Upload Service is essential for production systems
- Always consider scalability and maintainability
- Test thoroughly before deploying to production
- Monitor performance and set up alerting
Common Patterns
- Validation: Always validate input at the boundary
- Error Handling: Use structured error responses
- Logging: Log key events for debugging
- Testing: Unit, integration, and load tests
- Documentation: Keep docs updated with code changes
Database Design
Tables
- files(id, owner_id, original_name, storage_key, mime_type, size_bytes, status, tags)
- multipart_uploads(id, file_id, upload_id, total_parts, completed_parts, status)
- upload_parts(id, upload_id, part_number, etag, size_bytes, status)
Key Points
- Understanding File Upload Service is essential for production systems
- Always consider scalability and maintainability
- Test thoroughly before deploying to production
- Monitor performance and set up alerting
Common Patterns
- Validation: Always validate input at the boundary
- Error Handling: Use structured error responses
- Logging: Log key events for debugging
- Testing: Unit, integration, and load tests
- Documentation: Keep docs updated with code changes
Practice Problems
Design and implement a solution for File Upload Service in a backend system. Consider scalability, error handling, and production readiness.
Solution
// File Upload Service implementation
// Key aspects: validation, error handling, logging, testing
public class FileUploadService {
// Production-ready implementation
}Identify and handle edge cases for File Upload Service. 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, idempotencyWrite a testing strategy for File Upload Service. Include unit tests, integration tests, and performance tests.
Solution
// Test plan:
// - Unit: 80% coverage target
// - Integration: API contracts
// - Performance: latency, throughput
// - Chaos: failure injectionQuiz
1. Why use presigned URLs for file upload?
2. What is the minimum chunk size for S3 multipart upload?
3. What is the primary purpose of File Upload Service?
4. What is a common mistake when implementing File Upload Service?
Flashcards
Question
Why presigned URLs?
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Answer
Offload upload bandwidth to storage provider
Question
Min multipart chunk size?
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Answer
5MB for S3
Question
What is File Upload Service?
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Answer
File Upload Service is a key concept in backend development.
Question
When to use File Upload Service?
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Answer
Use File Upload Service when building production systems that require reliability, scalability, and maintainability.
Question
File Upload Service 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.Presigned URLs offload bandwidth
- 2.Multipart handles large files with resume
- 3.Track upload state in database
- 4.Use storage tiers for cost optimization
Interview Tips
- •Explain why presigned URLs are better
- •Design the state machine for uploads
Cheat Sheet
File Upload Service
- Presigned URLs: Client uploads directly to S3
- Multipart: 5MB chunks, resume on failure
- Metadata: PostgreSQL with search
- Tiers: Standard -> IA -> Glacier