It should be noted that response caching uses memory to cache the data by default, but you can even configure custom storage providers if need be. This can significantly reduce the number of requests a client makes to the web server, and significantly reduce latency, as subsequent requests can be served from the client’s cache.
It is used to inform the web browser to cache content by specifying cache-related headers on HTTP responses. Response caching in ASP.Net Core is actually a better and extensible form of output caching. Note that unlike output caching, response caching in ASP.Net Core doesn’t cache the responses in the memory of the web server.
Such headers are used to specify how to cache the responses for either all requests or a few selected requests.
Response caching refers to the ability to cache web server responses using cache-related headers in the HTTP response objects. In this post, I will explain response caching and its benefits and then examine how we can work with the response caching middleware provided in ASP.Net Core. In previous articles I discussed how to use in-memory caching in ASP.Net Core and how to implement a distributed cache in ASP.Net Core. Although ASP.Net Core doesn’t have an in-built Cache object, it provides support for several different types of caching including in-memory caching, distributed caching, and response caching. One way it supports high performance of course is caching.
We have two implementations of this ICache interface, one named CacheDataProviders.Memcached and the other named CacheDataProviders.AspNet.ĪspNetCacheProvider implementation of the Icache interface:Ĭopy Code public class MemCacheProvider : Providers.Microsoft's ASP.Net Core has already become a popular way to build high-performance, modern web applications that can run on Windows, Linux, or MacOS. For demo purposes, this interface provides three basic operations SetItem, GetItem and RemoveItem. Using the Codeīelow is the code structure for the cache sample: This sample uses Memcached Server, MemcachedClient and ASP.NET cache. This topic is not about specific Ioc, rather how you can use IoC to provide a pluggable design, and it is not just limited to addressing cross cutting concerns, rather the concept can be applied to any part of the application. There are other IoC frameworks out there, evaluate and use one based on your requirement. In this sample, the IoC container I have used is StructureMap. This solution puts forth how a IoC (Inversion of Control Container) can help you to get around these kind of dependencies and shows how you could have been able to scale out easily by switching the caching data provider layer with minimal configuration change. I would like to thank Mr Anil Sistla (Architect from Virtusa) for the architectural idea and for continuous support in the solution implementation.
It is a fast, native app with a real Mac userinterface like you’re used to from applications like iTunes.
This has triggered me to write up an article that would help people out there on how they can create pluggable design. iCaching is the all-in-one Geocache manager for the Mac. In this case, populating the data into cache is costly as the query that needs to be run is complex (infact very complex) and takes few seconds to execute. The developers and designers have used ASP.NET cache (not that ASP.NET cache is bad rather it is not global / distributed cache), thus making the cache object to be duplicated on each web server in the farm. As part of the process, one of the things we have observed is that the specific implementation of cross-cutting concern (to cite here, Caching) is so tightly integrated into the business layer (usage ) thus preventing (if not preventing, making it harder requiring huge code change, testing effort, delayed timelines and last but not least re-deployment) to scale out the application. I was working on a client project recently and was tasked to take a look at performance tuning of the application and provide recommendations for scaling out the application. In today's world, application design should account for the ability to plug in the cross cutting concerns (like caching, logging and exception handling, etc.), to be able to scale out the application for future requirements without incurring additional maintenance costs.