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 ...

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 ...

In-memory caching plays an important role in overcoming data fragmentation and network latency challenges related to distributed microservices architectures. This paper covers the advantages of ...

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 ...

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.

ScaleOut Software today is introducing Version 6 of its ScaleOut Product Suite, distributed caching and in-memory data grid software. This release introduces breakthrough capabilities not found in ...

In addition, updates to our list happen infrequently. A distributed cache with such a small list may scale well to numerous member servers and clients. For the rest of this article, let’s look at the ...

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 ...

Learn how to use in-memory caching, distributed caching, hybrid caching, response caching, or output caching in ASP.NET Core to boost the performance and scalability of your minimal API applications.

Database-driven websites increasingly depend on distributed caching to deliver adequate performance. This is particularly true in the social networking space where scalability is everything. One ...