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intermediate Phase · Files and Storage

Object Storage

Understand object storage vs block vs file storage.

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Object Storage

Object vs File vs Block Storage

Type Description Example
Block Raw blocks (OS level) EBS, SAN
File Hierarchical files NFS, EFS
Object Flat, key-value (HTTP API) S3, GCS, Azure Blob

Object Storage Properties

  • Flat namespace (no hierarchy)
  • HTTP API access
  • Metadata attached to objects
  • Designed for unlimited scale
  • Eventually consistent (usually)

Key Points

  • Understanding Object Storage 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

Best Practices

Key Principles

  1. Follow SOLID principles
  2. Write clean, readable code
  3. Test thoroughly
  4. Document decisions
  5. Monitor in production

Implementation

  • Start simple, refactor as needed
  • Use established patterns
  • Consider trade-offs
  • Review with peers

Continuous Improvement

  • Learn from incidents
  • Update documentation
  • Share knowledge
  • Mentor others

Key Points

  • Understanding Object Storage 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 / 3 solved
Implement Object Storage

Design and implement a solution for Object Storage in a backend system. Consider scalability, error handling, and production readiness.

Solution 
// Object Storage implementation
// Key aspects: validation, error handling, logging, testing

public class ObjectStorage {
    // Production-ready implementation
}
Object Storage Edge Cases

Identify and handle edge cases for Object Storage. 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
Object Storage Testing Strategy

Write a testing strategy for Object Storage. 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. Object storage uses what API?

Question 1 options

2. Object storage is?

Question 2 options

3. What is a common mistake when implementing Object Storage?

Question 3 options

Flashcards

Question

Object storage API?

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Answer

HTTP/S3 API

Question

Object storage structure?

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Answer

Flat key-value

Question

Object Storage 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. Object storage: flat, HTTP API, unlimited scale
  • 2. S3 is the most popular object storage
  • 3. Store metadata with objects
  • 4. Designed for unstructured data

Interview Tips

  • • Compare storage types
  • • Know object storage properties

Cheat Sheet

Object Storage

  • Flat key-value, HTTP API
  • S3, GCS, Azure Blob
  • Unlimited scale
  • Metadata attached to objects