Cloud Computing | News, how-tos, features, reviews, and videos
New data reveals some interesting information about cloud cost management and the fear of being fired. Should we rethink our approaches?
An operating system on top of a distributed database, DBOS is a tantalizing glimpse of something that may eventually turn out to be cool.
Enterprises may find it faster and easier to deploy their AI models in a public cloud that runs them as a service. AWS is jumping on this trend.
Repatriation is one route to cost savings. Switching development patterns from long-running services to WebAssembly-powered serverless functions is another.
Arctic will be available under the Apache 2.0 license and can be accessed via Snowflake Cortex for serverless inference or across providers such as AWS, Azure, Nvidia, Perplexity, and Together AI.
The updates include new large language models and a capability to import custom models, which is currently in preview.
With public cloud providers chasing generative AI, it may be a surprise when dollars flow in other directions. Vendors and customers have a lot to consider.
Enterprise workflows desperately need what iPhone and Android users have enjoyed for years—ready access to files wherever and whenever they’re needed, regardless of where the files are physically located.
Low-code platforms aren't just for web forms and simple integrations anymore. Here are seven innovative ways small and large enterprises are stretching the limits of what low-code can do.
As cloud costs got out of control, we turned to cost optimization approaches and tools, and have little to show for it. What now?