Uber’s HiveSync team optimized Hadoop Distcp to handle multi-petabyte replication across hybrid cloud and on-premise data ...
The thick client is making a comeback. Here’s how next-generation local databases like PGlite and RxDB are bringing ...
Wondering about when you can join the Marathon Server Slam? Check out our guide for everything you need to know.
The latest trends in software development from the Computer Weekly Application Developer Network. Cloudera has this month developed its expansion to Cloudera AI Inference and Cloudera Data Warehouse ...
Simplyblock, the NVMe/TCP software-defined storage platform for modern cloud-native environments, is launching the public beta of Vela—a new Postgres platform that introduces Git-style branching, ...
As artificial intelligence agents shift from experimental projects to production systems, enterprise technology leaders are worried that today’s infrastructure can’t handle the coming scalability ...
Abstract: Skewed write-intensive key-value storage workloads are increasingly observed in modern data centers, yet they also incur server overloads due to load imbalance. Programmable switches provide ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
While vector databases still have many valid use cases, organizations including OpenAI are leaning on PostgreSQL to get things done. In a blog post on Thursday, OpenAI disclosed how it is using the ...
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.
With the official release of Microsoft's latest database offering, let's see what was improved and what still needs some work. Today, at Ignite, Microsoft announced the general availability of SQL ...
With the AI infrastructure push reaching staggering proportions, there’s more pressure than ever to squeeze as much inference as possible out of the GPUs they have. And for researchers with expertise ...
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