Real-World Caching: Innovative Applications and Use Cases
Caching has become a cornerstone of modern software architecture, significantly enhancing performance and efficiency. In this article, we explore innovative caching applications and use cases, showcasing how developers utilize caching to solve real-world challenges.
Food Delivery App
Consider a food delivery app that allows you to browse restaurants, view menus, create orders, and track deliveries. This app must provide a good user experience. Using cache strategies will improve the app’s performance.
In-Memory Cache
Frequently accessed restaurants’ data such as menus and popular foods will be stored in memory. By storing these data in the RAM, the app quickly retrieves the most popular menus and restaurants.
Distributed Cache
To handle a large amount of concurrent users, especially at dining times. To manage high traffic caching the system between multiple servers to store such as restaurant locations, and order status.
Client-Side Cache
To improve user experience, user-specific data can be stored such as favorite food, and past orders. With this feature, the app provides an efficient experience. In addition to this, the app caches order details to help users find and repeat previous orders quickly.
Music Streaming App
Consider a music streaming application that allows users to stream music, discover new tracks, and create playlists.
In Memory Cache
To store frequently accessed data such as recently played music and most popular playlists. By keeping this data in the RAM, the app can quickly show the continuing playlist to the user.
Distributed Cache
In this kind of system, there will be too many concurrent users. To manage high availability the application can store data such as popular playlists, and trending songs in a caching system with multiple servers.
Client Side Cache
In the local storage, user-specific data can be stored as recently played songs or favorite playlists. This improves user satisfaction. Also with these caching types, storing the media content for offline listening, users can enjoy without an internet connection.
Banking App
Imagine a banking system that contains operations that account balance, bill payments, and more. The app must provide user’s information fastly.
In Memory Cache
Let’s think about this as a mobile application, the frequently accessed account information can be stored in the RAM of the mobile device such as transaction history, and account information. When the client opens the application, the app checks the cache first about account information without querying the server. If no information is found in the cache, then the application requests to the server.
Distributed Cache
A banking app handles a large number of clients, so the system will be handled to improve high availability and also scalability. With multiple servers, data will be synchronized with cluster architecture.
