Cache Data Categorization Via Groups, Tags and Named Tags

Cache Data Categorization Via Groups, Tags and Named Tags

Efficient data management requires the ability to quickly search for application data based on specific attributes. As the volume of data grows, this need becomes even more crucial. Typically, databases already have fields that facilitate in the categorization of data, and these fields can be used as indexes when caching data. However, there may be…

NCache in Scala - An Overview

NCache in Scala: An Overview

If yours is a high-traffic, data-focused application that requires scalability, you would be remiss not to use Scala. Scala offers users the advantages of both object-oriented and functional programming, all in one, that grows with the demands of its users. Unfortunately, whereas Scala application tiers are linearly scalable, the corresponding databases are not. Consequentially, heavy…

Data Partitioning for High Scalability in NCache

Data Partitioning for High Scalability in NCache

Modern applications process and generate large volumes of data. The possibility of a single web server/data source failing, resulting in losing applications and priceless data is a common nightmare among software developers. However, you can achieve high data availability if all server nodes have an identical copy of data – this implies that there won’t…

Enhance Search and Retrieval Performance in NCache

Enhance Search and Retrieval Performance in NCache

We all encounter situations where we have to wait for an eternity to get a response from the database in return for the generated queries at the application server. For business-critical applications latency and delay in response are intolerable. This is where a need for an optimized caching solution arises. While caches are commonly associated…

Introducing NCache Live Software Upgrade

Introducing NCache Live Software Upgrade

NCache is an in-memory distributed cache for.NET/.NET Core, Java, Python, NodeJS, and Scala applications, it is extremely fast and scalable. It is utilized in production settings for mission-critical applications, many of which are also user-interactive. In such applications, high availability is crucial. And through a variety of features, NCache does a great job of satisfying…

Cache-Database Data Inconsistency

Cache-Database Data Inconsistency: Pitfall and Solutions

Nowadays, every business application is using caching to improve data retrieval performance and reduce the need to get data directly from the database. Since databases started to slow down modern web applications, a variety of data caching techniques have been proposed. Data caching helps address the issue of database scalability and performance, but it also…

How Data Dependency Manages Relationships in Cache?

Distributed cache is becoming very popular because it is a powerful way to boost your application performance and scalability and handle extreme transaction load without slowing down. Both .NET and Java applications are using it more and more each day. But, one challenge people face with distributed cache is how to map and store relational…

Write-Through & Write-Behind Cache

Write-Through & Write-Behind Cache: An Introduction

In the past, experts have tried removing performance bottlenecks by using system caches but, with the rise in user traffic, the need for high-speed applications has become pertinent. Therefore, in-memory, linearly scalable, distributed caching solutions like NCache is becoming popular, enhancing system performance multifold. Generally, with an added caching layer in your system architecture, applications…