🧪️ API Calls Are Heavy and Slow

✅ Problem Overview

Communication with external APIs can significantly degrade system performance due to latency and waiting for responses.
In many cases, the same data is fetched repeatedly without any caching or reuse.

Common issues include:

• Repeated API calls resulting in poor performance
• Redundant fetching of reusable response data
• Complicated access logic scattered across the calling code, lacking central control

✅ Solution Overview

Introduce a caching proxy layer using the Proxy pattern to control and delay API access.
Use the Flyweight pattern to share common structures like templates or rendering logic to reduce memory usage.

Concern	Applied Pattern
Lazy evaluation & control	Proxy
Shared structure reuse	Flyweight

✅ Pattern Synergy

Role	Example Implementation
Actual API client	RealApiClient
Proxy layer	ApiProxy (with caching)
Shared structure	ApiTemplate (immutable template)
Dynamic data	ApiResponse (user-specific data)

• Proxy enables request control and caching
• Flyweight allows shared structure reuse, improving resource efficiency

✅ UML Class Diagram

✅ Explanation

This design separates responsibilities clearly:

• ApiProxy handles request control and caching (Proxy)
• RealApiClient performs the actual API communication
• ApiTemplate retains the immutable shared structure (Flyweight)
• ApiResponse combines variable data with the template

By dividing access control and structure reuse across the respective patterns,
the system enables flexible and efficient API interaction.

✅ Practical Notes

• ✅ Highly effective when fetching the same ID or resource repeatedly
• ✅ Ideal for shared response formats that use common templates or rendering rules
• ✅ Improves not only performance by reducing API calls but also UI reusability

Example use cases:

• Read-only APIs for profile or category data
• Common dashboard card layouts
• Template-based content delivery systems

✅ Summary

• Use Proxy to enable caching and lazy evaluation before API access
• Use Flyweight to share structure and reduce resource consumption
• A well-suited combination for scenarios with heavy API traffic
• Balances communication optimization and UI maintainability

Wrapping API access and sharing reusable structures through this design is
a powerful approach to maintain stability and scalability under high-load environments.