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HLDsystem_design~25 mins

API versioning strategies in HLD - System Design Exercise

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Design: API Versioning System
Design focuses on versioning strategies for RESTful APIs including version identification, routing, and deprecation. Authentication, business logic, and database design are out of scope.
Functional Requirements
FR1: Support multiple versions of the API simultaneously
FR2: Allow clients to specify which API version to use
FR3: Ensure backward compatibility for older clients
FR4: Enable smooth transition and deprecation of old versions
FR5: Provide clear error messages for unsupported versions
Non-Functional Requirements
NFR1: Handle up to 10,000 concurrent API requests
NFR2: API response latency p99 under 300ms
NFR3: Availability of 99.9% uptime
NFR4: Minimal disruption during version upgrades
Think Before You Design
Questions to Ask
❓ Question 1
❓ Question 2
❓ Question 3
❓ Question 4
❓ Question 5
Key Components
API Gateway or Router for directing requests based on version
Versioned Controllers or Handlers in the backend
Documentation system indicating supported versions
Monitoring and logging for version usage
Deprecation notification mechanism
Design Patterns
URI Path Versioning
Request Header Versioning
Query Parameter Versioning
Content Negotiation (Accept Header)
Backward Compatibility and Deprecation Patterns
Reference Architecture
Client
  |
  |--(1) Specify version via URL path /v1/resource or /v2/resource
  |--(2) Specify version via custom header X-API-Version
  |--(3) Specify version via query param ?version=1
  |
API Gateway / Router
  |
  |-- Routes request to appropriate versioned backend service
  |
Backend Services
  |-- v1 Service
  |-- v2 Service
  |
Documentation & Monitoring
  |
Deprecation Notification System
Components
API Gateway / Router
Nginx, Kong, or AWS API Gateway
Route incoming requests to the correct API version based on versioning strategy
Versioned Backend Services
RESTful services implemented in Node.js, Java, or Python
Handle business logic for each API version separately to maintain backward compatibility
Documentation System
Swagger / OpenAPI
Provide clear API version documentation and usage guidelines
Monitoring and Logging
Prometheus, Grafana, ELK Stack
Track usage metrics and errors per API version
Deprecation Notification System
Email alerts, API response headers
Inform clients about deprecated versions and timelines
Request Flow
1. Client sends API request specifying version via URL path, header, or query parameter.
2. API Gateway inspects the request to identify the version.
3. Gateway routes the request to the corresponding versioned backend service.
4. Backend service processes the request and returns response.
5. If version is deprecated, response includes warning headers.
6. Monitoring system logs request and version usage.
7. Documentation is updated to reflect supported versions.
Database Schema
Not applicable as versioning is handled at API routing and service layer, not directly in database schema.
Scaling Discussion
Bottlenecks
API Gateway routing becoming a single point of failure under high load
Increased maintenance overhead with multiple active API versions
Client confusion due to multiple versioning methods
Data inconsistency if backend services diverge in behavior
Solutions
Use load-balanced and redundant API Gateways to handle traffic
Implement automated testing and CI/CD pipelines for each version
Standardize on a single versioning method and phase out others
Maintain shared core logic libraries to reduce divergence
Interview Tips
Time: Spend 10 minutes understanding versioning requirements and constraints, 20 minutes designing versioning strategies and components, 10 minutes discussing scaling and trade-offs, 5 minutes summarizing.
Explain different versioning strategies and their pros/cons
Discuss how clients specify versions and how routing works
Highlight importance of backward compatibility and deprecation
Address scaling challenges and operational concerns
Show awareness of developer experience and documentation