NCache as we know by now, stores data in the cache for better performance and achieving high performance and scalability. We have seen NCache doing wonders when it comes to fast access of data for your application’s increased performance, however, we still need to learn what kind of data does NCache store in the cache.…
One common nightmare among developers and software architects is their sole web server/data source crashing, losing thousands of connected clients, applications, and precious data. With the help of a distributed, load-balanced caching layer such as NCache you can make your application tier highly scalable and available. With the increase in transaction load, you can add…
The sole purpose of NCache is to provide optimum performance for your application. And to hit these performance numbers, you need your caching environment to be able to scale easily and cost-efficiently. As NCache is an in-memory datastore, the first concern is the limited memory that has been allotted to it on one physical box.…
A cache is of no use without basic CRUD operations. Since the cache is a key-value store, you need to add, retrieve and remove cached data all the time. Hence, these key-based CRUD (Create, Remove, Update, Delete) or basic operations make your cache easy to access and use. NCache has been widely adopted for distributed…
The adage “640 KB ought to be enough for anybody” used to be widely accepted. There is some disagreement over who said it, but there is now universal agreement that no one can ever know what “enough” in computing means. Because of this, you must delete or evict some cached data when you set up…
If you are using an in-memory distributed cache and your application contains private and sensitive data that you want to secure, you need to ensure that your distributed cache prevents this sensitive data from unauthorized access through encryption. NCache provides a rich set of industry-standard encryption algorithms that are nearly impossible to break. This ensures…
Distributed caches are designed to be deployed in massive data centers, where every user has direct access to the data stored in the cache or traveling over the network. This simple functionality is problematic where your application has to cache sensitive data and it simply cannot afford to allow administrative and API access rights on…
You, I, and even John next door know that machine learning has made your machines “smarter” by predicting future outcomes, using the data fed to them. ML.NET is the de facto standard in .NET for machine learning, that allows you to train models upfront and make predictions accurately. Let’s suppose you have an ML.NET application…
For high transaction applications with complex architectures, continuously interchanging data causes a non-uniform load and delay in throughput.