If your business is heavily dependent on data, particularly, if it’s a high-traffic system, any whiff of an opportunity for data loss is surely enough to set the alarm bells ringing. Further, the idea of disaster recovery must be a complete nightmare. Particularly if you’ve incorporated a caching tier, since cache data (especially, transient data),…
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…
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…
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…
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…
Peak loads, failures, system outages are highly likely to be a part of your cache cluster and it is not something to be worried about. However, having no workaround to such situations definitely is! Fault resilience against such risk causing factors is the primary requirement of your caching cluster so that recovering from failure scenarios…