Why vCloud Tech?NCache is an In-Memory Distributed Cache for.NET and.NET Core that is incredibly quick and scalable
NCache Distributed is a fast and linearly scalable cache that can store applications’ data and reduce costly database visits. Use NCache to eliminate the performance bottlenecks associated with your databases and data storage and increase the performance of applications using .NET, Java, and Node.js applications to extreme transaction processing (XTP). As a result, NCache has been the leading market player.
NET applications for the last 17 years and have been popular with hundreds of top-end customers all over the world.NET Core is a cross-platform and open-source platform developed by Microsoft to build web applications libraries, microservices, and microservices as well as console applications. .NET Core runs on the well-known Windows, Linux, macOS, and Windows Nano Server operating systems. The program is fully compatible with .NET Framework, Xamarin, and Mono through the .NET Standard Library. In addition, .NET Core is open source and uses Apache 2 licenses and MIT.
We use our products as an efficient and linearly-scalable distributed cache for the following applications and environments.
NCache Core Capabilities:
- Extremely quick
- Linear scalability
- Self-healing dynamic cluster
- Sync/Async Intelligent replication
- The WAN replication is done using Bridge
- The most powerful administration tools
Distributed Caching Features:
- NCache Dependency (Key, File)
- Database Synchronization
- Parallel SQL Query, LINQ, Tags
- Read-through, Write-through
- Messaging & Runtime Data Share
- Dynamic Compact Serialization
NCache Enterprise comes with the following benefits:
- Cache Performance: The Cache is an efficient distributed cache that is extremely fast distributed. It’s a lot faster than accessing databases to retrieve data. It delivers sub-millisecond responses to its customers.
- Cache Scalability: Contrary to the databases, NCache can grow without difficulty and allows you to continue growing your load of transactions. In addition, NCache provides you linear scale, which means that as you expand your cache servers, the capacity of your transactions also increases from the initial capacity.
- Bulk Operations: Bulk Get, Add, Insert, and Remove. This is a great way to handle most cache operations and greatly improves performance.
- Asynchronous Operations: Asynchronous operation transfers control of the program and executes its cache operations in the background. It is beneficial in many situations and greatly improves the performance of applications.
- Compact types can be hot-applicable: Indexes NCache creates indexes within the Cache to accelerate the speed of various data retrieval operations within the Cache. For example, it can be use to speed up tags, groups named tags, search, and much more—eviction and expiration policies to use indexes.
Performance and Scalability
Performance measures the speed at which cache operations execute at average load on transactions. Scalability refers to how quickly the same cache operations carry out with higher and more intense transaction demands. NCache is extremely efficient and scalable.
Cache Elasticity (High Availability)
Cache elasticity refers to how flexible and flexible your Cache can be during the time. For example, can you perform the following actions during runtime without stopping the Cache or the application?
- Add or remove cache servers during use without having to stop the Cache.
- Change cache configurations with no interruption to the Cache.
- Add or remove servers for web/application while not removing the Cache.
- Provide failover assistance if any server fails (meaning that cache clients are in a position to work seamlessly).
Security & Encryption
Many applications work with sensitive information or are mission-critical and can’t allow access to the Cache accessible to all. Thus, a reliable distributed cache offers restricted access based on authorization and authentication to identify people belonging to various user groups. Additionally, it must permit data encryption in the client application process before it is transfer through the network of caches.
NCache creates serialization code and compiles it in memory when an application connects to NCache. The code used by NCache is to create serialized objects and is nearly 10 % faster than standard .NET serialization (especially when dealing with large objects). NCache also uses type-IDs instead of long strings to identify the type of the serialized object; therefore, it is smaller (hence smaller).
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The distributed architecture allows for incremental expansion/scaling by adding more machines to the cluster, allowing the cache to keep up with data growth. A distributed cache pools the memory of multiple computers into a single in-memory data store and uses it as a data cache, providing fast access to data.
Distributed NCache Cache
- Install the NCache open-source NuGet.
- Configure a cache cluster on the client.
- Nconf. Add the following code to Startup.ConfigureServices. C# copy.
What are the commonly distributed caches used in the industry? Popular distributed caches in the sector are Eh-Cache, Memcached, Redis, Riak and Hazelcast. Google Cloud uses Memcached in its Platform as a Service.
A distributed cache is a shared cache that is operated as an independent service from the app servers that it is shared. A distributed cache can enhance your ASP.NET Core project’s performance and scalability, especially if your app is located on a cloud storage service or server farm.
By giving up query support, caches can perform much better than databases. That is because you can use simple data structures such as hash tables instead of trees. Of course, databases can also support more superficial data structures, but this limits the query possibilities.
Distributed Cache can distribute simple read-only data/text files and more complex types of files such as archives, JAR files, etc. Archives (zip, tar, and tgz/tar.gz files) are unarchived on agent nodes.