Then I’ll register the NCache DistributedCache into the IoC container, through which we can later access the caching service. To connect with NCache, first I’ll install the NCache caching extensions package into my Core layer (./ContainerNinja.Core/) > dotnet add package -version 5.1.0 ContainerNinja.API project is a part of the ContainerNinja.CleanArchitecture boilerplate solution built using. To keep things simple, I’ll use the ContainerNinja.API and integrate the caching tier over it. We’ll integrate NCache as a caching tier for this API implementation and store frequently accessed items onto the cache. This Items API has two endpoints – one which returns a list of all the Items and another which returns a single Item by Id. To demonstrate how to connect and work with NCache for caching, let’s take the example of an API that returns a list of Items from a database. Using NCache for Distributed Caching in ASP.NET Core NCache fully supports caching in ASP.NET Core and provides its implementation of IDistributedCache which we can register and use it accordingly. Do check out the editions while deciding which one to choose. NCache offers a great set of features and comes in three flavors – Open Source, Professional and Enterprise which customers can choose from based on their needs. It has a rich set of library which can help in implementing query caching over Entity Framework Core. NCache is a popular Cache provider in the. In this article, let’s look at how we can implement distributed caching in ASP.NET Core, with NCache as the caching provider. Almost all the popular cache providers provide their implementation to the IDistributedCache and we can register the implementation accordingly into the IoC container via IServiceCollection. We can connect our ASP.NET Core applications to any distributed cache cluster and use it for caching as required via the IDistributedCache interface provided by dotnetcore. Even Cloud providers like AWS provide managed caching solutions such as AWS ElastiCache. Using a Distributed Cache system also brings Highly Available, Scalable and Fault Tolerant cache to the system.ĭevelopers can choose from the many popular distributed caching options available in the market such as Redis, Memcached, NCache etc. Since a distributed cache sits external to the application, it has a very slight latency when compared to an In-Memory cache although it is very negligible. Implementing a Distributed Caching system helps applications leverage the advantages of caching, while reducing data redundancy – a scenario where two or more application nodes end up caching the same data. In a distributed cache, the cached data spans across several nodes across one or more clusters, spanning across regions. What is a Distributed Cache?Ī Distributed Cache is a cache that is placed external to the application nodes, with the same properties as that of an in-memory cache – high speed memory with low-latency data reads and writes. All the application server nodes connect to this “external” caching server and set or get data as required. This is where we externalize the cache out of the application server nodes and is maintained as a separate system. This approach is suitable for simpler applications that run on a single server node, and all the requests are served by that node alone.īut it isn’t helpful for a load-balanced distributed system where a request could be handled by one of the many application nodes. Speaking of using cache as an auxiliary store, applications can use a part of its memory for caching frequently accessed data. In this article, we’ll focus on Data Caching, where cache is used as an auxiliary store for performance optimisation. In the context of Web APIs – developers can either adopt Response Caching, where the API sends additional information about the response in the headers, using which the consuming client can cache the response. Caching is popularly used as a performance improvement technique. Using a cache reduces unnecessary database hits, since the data being requested is readily available in the cache and hence the response times can be significantly lower when compared to the otherwise. A cache is a high-speed memory that applications use to store frequently accessed data.
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