Cloud computing is increasingly distributed, which creates a major leap in complexity, driving the need for AI-based automation. Written by eWEEK content and product recommendations are ...

For years, cloud computing was synonymous with centralization. That era is over. Enter: the distributed cloud.

The real message here is that you need to plan now if you think you’ll take advantage of distributed cloud computing. Else, it will be an epic fail that you don’t need these days. Related content ...

Q 1: What drew you to the field of distributed systems and cloud computing? A: From the start of my career in technology, I have been driven by my passion to solve difficult scaling problems.

Through technical guidance and real-world insights, it offers a roadmap for designing resilient, efficient, and future-ready distributed cloud systems. Key takeaways: Distributed cloud centralises ...

Several distributed file systems are used over the cloud because the cloud itself includes large numbers of commodity-grade servers, harnessed to deliver highly scalable and on-demand services.

There is much value in separating storage from compute, particular for cloud database deployments. To this end, Alibaba has targeted low latency and high availability with a newly developed ...

In this slidecast, Molly Presley from Qumulo describes how the company’s distributed file system delivers real time performance for a host of HPC and AI applications. “Qumulo’s solutions are available ...

Today Quobyte announced that the company’s Data Center File System is the first distributed file system to offer a TensorFlow plug-in, providing increased throughput performance and linear scalability ...