#cloud-services

#cloud-services

There's a revolution occurring in how war and conflict are waged. New data-intensive systems are being developed; and commercial tech infrastructure is now supporting military operations. Data plays a key role in this revolution. Data is used to train and test systems, and the systems are fed data to target operations, communities, and individuals. While intelligence has long informed warfare, now we're seeing the very same dynamics that gave rise to surveillance capitalism feed a new era of innovation, feed a new era of innovation,

"It was a lot easier, in some ways, for journalists back in the 80s and 90s, before all of these cloud platforms existed," said Melody Kramer, a product manager at ProPublica who works on engagement and crowdsourcing tools. "You would put things in a Microsoft Word document, share that within your [physical] newsroom, and nothing would live in a data center or different space." The most sensitive stories could be written on computers without network connections and discussed and edited only in the office.

The use of Chinese nationals to service Department of Defense cloud environments it's over, Hegseth said in a video statement. We've issued a formal letter of concern to Microsoft documenting this breach of trust, and we're requiring a third-party audit of Microsoft's digital escort programme, including the code and the submissions by Chinese nationals. Did they put anything in the code that we didn't know about? We are going to find out, Hegseth added.

Lumen Technologies has made major enhancements to datacentre and cloud connectivity across its US network, with a strategic expansion capable of turbocharging metro markets with high-speed datacentre connectivity.

Compute Budgets allows you to set clear spending limits, monitor your consumption in real-time, and receive notifications when you're approaching your limits.

The Competition and Markets Authority (CMA) has recommended that Microsoft and Amazon Web Services (AWS) face "targeted and bespoke" interventions to curb harmful competitive behaviours in the UK cloud market.

"[N]early 80 percent of B2B customers affirm that telcos have a 'right-to-play' beyond traditional connectivity. Yet, many operators are falling short of capitalizing on this expanded mandate."

Oracle has expanded its collaboration with AWS to make the Oracle Database@AWS service available in two US regions, with an expected 20 more regions in 12-18 months.

Despite the confirmed problems with Microsoft Forms, Microsoft's official 365 Service Health Status website continues to display "everything up and running." This discrepancy is expected to be addressed as the situation evolves.

The Microsoft outage that disrupted Teams, Exchange Online, and related services was ultimately caused by an overly aggressive traffic management update that unintentionally rerouted and choked legitimate service traffic.

The simplest reason for rising cloud service expenses is that major providers consistently increase their prices, coupled with complex pricing models that hinder effective cost management.

Adaptive Compute simplifies infrastructure management by automatically adjusting the cluster size and number based on workloads, eliminating the need for user intervention.

IBM's Cloud has faced two severe login outages in just over two weeks, affecting user access to critical cloud services.

Auto-scaling compute alone doesn’t make something truly serverless; without eliminating infrastructure management, it cannot meet the serverless standard.

The SentinelOne outage lasted for at least six hours, impacting numerous products, including threat intelligence services and the Singularity Endpoint protection service.

Pocket, a subsidiary of Mozilla, is shutting down, as Mozilla is changing strategies and Pocket's services will no longer be part of their plan.

Python decorators are highly expressive, capable of accepting parameters, nested layers, and manipulating function metadata. This flexibility makes them suitable for permission validation design.

Because of the uncertainty with the cloud and skyrocketing costs, we stopped. We decided we're going to do this very slowly, meaning we're going to wait to see what will happen, and right now, we decided to have it on-premise.

"We know the most important thing when building with toolkits is the developer's experience, and that's why we've doubled down on it, making it easier to explore, test, and build with our technology..."

Scaling AI models from local tests to production involves managing significant resource requirements, with models needing up to 40GB of GPU memory for handling multiple requests efficiently.