Distributed caches are used to improve the performance and scalability of applications. Typically, a distributed cache is shared by multiple application servers. In a distributed cache, the cached ...

In today’s digital economy, high-scale applications must perform flawlessly, even during peak demand periods. With modern caching strategies, organizations can deliver high-speed experiences at scale.

Distributed caching works for our scenario due to the small amount of data being cached. Instead of thousands of session objects typical for distributed session replication, we have only a small list ...

The advent of the emerging field of Big Data brought with it the promise of highly-scalable databases that could handle terabytes of data at a time. As anyone dealing with colossal datasets will ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Gen AI powers real-time analytics for distributed caching, enabling organizations to spot trends and respond in real time. Today, ScaleOut Software introduces key enhancements to its ScaleOut Active ...

ScaleOut Software is offering Version 6 of its ScaleOut Product Suite, its distributed caching and in-memory data grid software, introducing breakthrough capabilities “not found in today’s distributed ...

ActiveSpaces, launched last month, acts similarly to a distributed cache, letting systems hold large amounts of real-time data in memory and allowing different applications to access that data very ...

Today, businesses want a high-performance system to be fast and efficient. E-commerce, financial services, streaming ...