Caching is an essential technique in software development that allows temporary storage of application resources and data in an accessible location for efficient retrieval. Generally, resources or data that are frequently used and do not change often are the best candidates for implementation. The benefits it provides include:
- Reduction of latency in response to requests
- Decrease in the number of network calls and bandwidth usage
- Minimization of failures by serving data directly from the cache instead of making a request to the backend system
There are different approaches and strategies for implementing caching in software systems, varying depending on whether the application is hosted on local infrastructure or on cloud platforms. At Q2BSTUDIO, a company specialized in development and technological services, we apply advanced caching strategies to optimize the performance of our clients' applications, ensuring minimal response times and greater efficiency in resource usage.
Caching in web applications can be classified according to two dimensions: what is stored and where it is stored.
Regarding what is stored, we can identify:
- Application resources: static content such as CSS, JavaScript, images, videos, and audio.
- Application data: information stored in databases that can be frequently reused.
Regarding where it is stored:
- Application resources are usually stored in infrastructure, such as reverse cache servers or in the user's browser.
- Application data is typically found on the server, in in-memory cache tools or disk storage.
At Q2BSTUDIO, we implement caching strategies to optimize applications in both on-premises and cloud environments. In traditional on-premise applications, systems often use reverse proxies, CDNs, and application servers to store static content. Likewise, we leverage advanced tools such as Redis and Memcached to improve data management efficiency.
Caching of application resources allows browsers, reverse proxies, and CDNs to store static files and reduce the load on origin servers. This improves response time and decreases the number of requests to backend servers.
Regarding data caching, this is especially useful for information that does not change frequently, such as lists of countries or a social media feed. In these types of implementations, we use modern solutions that improve performance, such as caching in API Gateways or databases with in-memory cache support.
There are different caching strategies that we apply in our developments at Q2BSTUDIO depending on each use case:
- Cache aside: the application first looks in the cache and, if it does not find the data, retrieves it from the database and stores it in the cache.
- Read through cache: if the data is not in the cache, the caching tool retrieves the information from the database, stores it, and returns it.
- Write through cache: data is written to the cache before the database to reduce latency.
- Write back cache: information is stored in the cache and written to the database at the end of its lifecycle.
At Q2BSTUDIO, we understand that an efficient caching strategy is fundamental to improving the speed, scalability, and reliability of any application. We apply the best practices and tools available to ensure optimized, high-performance applications for our clients.
