We know how web app performance tuning can be a big complex pain in the neck. But, do not lose hope yet, there still are various common sense techniques which developers can use to streamline the processes on their backend server.
The process of web application performance is often ignored. Often times, small inefficiencies are ignored which can later pile up and making the web app slow. Small improvements over time are cheaper compared to stuffing them all at once at the end of the project lifecycle.
Coming to the point in case—optimizing the backend performance is quite different compared to optimizing the frontend web app. Backend performance is highly focused on fetching the data efficiently and handling appropriate responses.
Here are some of the tools and common techniques to help you build faster backends in ASP.NET
How can one improve the performance without first measuring the current speed and efficiency? Sometimes, measuring the performance can be a bit lethargic. Variations are sometimes caused by other processes that are in the pipeline which can make exact performance numbers tough to pertain.
Developers know that never to trust a single performance number. If the same operation is run under similar conditions multiple times, you will get a range that is pretty good enough to optimize. On top of that certain performance issues still exist which you can only catch while the application is running under user load.
Developers should use all the available tools which are at their disposal in order to measure speed and analyze how performance tuning can help.
Dealing with Databases
One of the most common performance bottleneck today is the database. The database queries need to be efficient without a pinch of doubt. Use your most favorite profiler and find the hindering, slow-running query and try to run it directly against the database. These are one of the most crucial aspects that pop up in quality testing services.
On the other hand, the developers can also use SQL Server Management Studio and check out the execution plan, if using SQL Server as a database. Let’s say, you are using relational databases, in that case, you should make sure that the fields you are searching on are hitting the appropriate indexes. And, if it becomes necessary, you can add any required indexes and try again.
Get the Right Stuff
Excluding the unnecessary data, the web app that you are working on a particular screen should have an exact correlation with the data that you fetch from your data tier. Developers need to be aware of not using expensive item retrievals to grab whole graphs of related objects for small grids again and again.
Consider this: The users probably aren’t going to read 10,000 items that were pushed out to the client side. This calls for fetching the data in batches and using pagination in order to limit the size of datasets that have been retrieved.
There are modern interfaces web apps like Kendo UI or Telerik UI for ASP.NET MVC/Core that have got smart UI controls working seamlessly with chunks of data through pagination.
Cache Slow Calculations
How to retrieve more data, smartly and quickly. Caching is one great feature that can drastically enhance your web application’s ongoing performance. In ASP.NET Core, the data caching feature comes in two different flavors- memory caching and distributed caching.
The in-memory caching feature stores all the cached data on the current server. This is one of the easiest caches to use and also limited to a single server.
The roles and responsibilities of anyone involved with ASP.NET development, be it an .NET programmer or an ASP.NET web development company, lies not just in developing and deploying the projects, but also in expanding the existing knowledge which helps in boosting the overall aesthetic value in the world of programming.