Even if the queries are efficient, the cost of processing each query (especially for frequently accessed objects) can quickly add up to higher latencies. Improved database performance: A common finding when investigating application performance is that a significant portion of the overall response time is spent in the database layer. This results in far less data being transferred to and from the content origin, leading to lower transfer costs, less congestion in the queues at network switches, fewer dropped packets, etc. Redirecting a significant portion of the load to the cache layer helps performance become much more predictable.ĭecreased network costs: Placing frequently accessed objects in the cache reduces the amount of network activity that has to be performed beyond the cache. Increased reliability: Higher latencies when retrieving data is the usual effect of spikes in application usage causing slower performance across the board. If the result of the query is already present in the cache, this processing can be skipped entirely so that the response time is faster, which frees up server resources to do other work. Reduced server load: Certain requests can require considerable processing time on the server. Faster data access significantly boosts application responsiveness and performance without adding new hardware resources. The primary benefit of caching is that it improves the speed of data retrieval by reducing the need to recompute a result or access the underlying processing or storage layer. After reading this post, you should have a better idea of when to cache, what to cache, and the appropriate techniques to use in your Node.js applications, depending on the use–case. This article aims to provide an overview of caching, caching strategies, and the solutions currently available on the market. This makes the subsequent requests for that data an order of magnitude faster leading to improved application performance, decreased costs, and faster transactions. For example, instead of repeating network requests for data that do not change often or at all (such as a list of banks in your country), you could store the data in the cache after the initial request and retrieve it from there in subsequent requests. In the context of server-side applications, caching aims to improve the application's response times by reusing previously retrieved or computed data. By maintaining a cache of objects on the user's hardware, retrieval of the cached data is almost instantaneous, leading to increased speed and user satisfaction.

An example of caching that you may be familiar with is the browser cache, which stores frequently accessed website resources locally so that it does not have to retrieve them over the network each time they are needed. Caching is the process of storing data in a high-speed storage layer so that future requests for such data can be fulfilled much faster than is possible through accessing its primary storage location.

Nodejs cache