Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this episode, Thomas Betts and Adi Polak ...

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 ...

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

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 ...

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.

Scaling with Stateless Web Services and Caching Most teams can scale stateless web services easily, and auto scaling paired ...

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 ...

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 ...

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 ...