My approach in this example is very simple. Since accessing RAM is faster than accessing a hard drive or an SSD. Redis server listens on port 6379 on default. We use the installed redis package for this task. We will cover caching using memory-cache and Redis. First, we need to connect to the Redis server through our application.
In thing article, we will cover how to improve our application through caching. Use any cache you want, as long as it has the same API.
Tiered caches - data gets stored in each cache and fetched from the highest priority cache(s) first. and multi caching By using the UseCache on endpoint methods or on service. A cache module for nodejs that allows easy wrapping of functions in cache, tiered caches, and a consistent interface. Once the application is developed and out there in the market, the next thing to look at is performance optimization. Cache-manager provides various storage to cache content like Redis, MongoDB, etc. Long story short, Redis allows you to store key-value pairs on your RAM. Caching in Nodejs with memory-cache and Redis. Redis is a fast, open-source, in-memory key-value data structure store. And basically many problems that come with the scalability of the application can be solved with caching. Or if you make a request to the database that takes a very long time to complete, you can solve this quickly by caching it.īut perhaps the most common problem is if you have a certain resource in your api that is constantly being consumed but its data rarely changes, in this case, its wise to cache it to relieve the database. The Node.js hosting architecture on Cloud Platform contains a pair of load balancers and one or more web infrastructure. If you are consuming a third party api that has a limited number of requests per day, by using cache this is no longer a problem. All keys are stored in a single object so the practical limit is at around 1m keys. Keys can have a timeout ( ttl) after which they expire and are deleted from the cache. Its use can be applied in different contexts. A simple caching module that has set, get and delete methods and works a little bit like memcached. Unlike databases, in which data is generally more durable, a cache system prefers to invest in the speed at which the data is returned and the persistence of the data is temporary.īasically, all caching data resides in-memory (RAM), unlike databases that store data on hard drive or on SSDs.Ĭaching is important because you can get performance improvements, solving many problems without much effort. In read-through caching, data is always read from the cache. Whenever a client requests data, the application. The data in a cache is usually stored on fast-access hardware, such as RAM and its primary function is to increase data recovery performance. In the cache-aside pattern, data is loaded to the cache only when necessary. This time we are going to implement caching in an existing node.js application using Redis, but first let's understand what it is and how it can help you.Ĭache is a high-speed data storage layer, so that future requests for that data are served up faster than is possible by accessing the primary data storage location, such as a database.