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 ...

Most distributed caches force a choice: serialise everything as blobs and pull more data than you need or map your data into a fixed set of cached data types. This video shows how ScaleOut Active ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. This article presents a least-privilege AI ...

As enterprise computing enters the brave new world of service-oriented architecture (SOA), it becomes more and more important to seek new ways to describe, publish, and discover your services. The Web ...

Cloud-based applications built with microservices are firehosing log data at DevOps teams. This is where open-source search-and-analytics engine Elasticsearch comes in for many teams. But ...

Ever hear the phrase “clear your cache” and wondered about this voodoo magic? In most situations, people are probably referring to your browser cache so that you can see the latest data or content on ...

Today’s web, mobile, and IoT applications need to operate at increasingly demanding scale and performance levels to handle thousands to millions of users. Terabytes or petabytes of data.

Gen AI powers real-time analytics for distributed caching, enabling organizations to spot trends and respond in real time. The addition of Gen AI builds on ScaleOut Active Caching’s next-generation ...

At 100 billion lookups/year, a server tied to Elasticache would spend more than 390 days of time in wasted cache time. Cachee reduces that to 48 minutes. Everyone pays for faster internet. For ...