SkyTrack API is a real-time weather service that pulls data from external APIs and uses Redis to cache responses, improving performance.
- Real-time Weather Data: Fetches weather data from external APIs.
- Redis Caching: Caches responses to minimize external API calls and speed up performance.
- Rate Limiting: Limits the number of requests from a client to avoid overload.
- Design Patterns: Uses Adapter and Proxy patterns.
The system fetches real-time weather data from external services and caches the results in Redis to enhance performance and reduce external API calls.
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Adapter Pattern: Connects to external APIs, making it easy to switch between API providers.
- Example: The
WeatherApiAdapter
adapts the third-party API data into the format expected by the system.
- Example: The
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Proxy Pattern: Adds a caching layer, so if the data is already available in Redis, it returns it without calling the external API again.
- Example: The
CachedWeatherService
checks if the data is in Redis before fetching it from the API.
- Example: The
- Ensures clients do not exceed a certain number of requests in a given time, reducing the risk of server overload.