A sprawling Amazon Web Services cloud outage that began early Monday morning illustrated the fragile interdependencies of the internet as major communication, financial, health care, education, and government platforms around the world suffered disruptions. As the day wore on, AWS diagnosed and began working to correct the issue, which stemmed from the company's critical US-EAST-1 region based in northern Virginia. But the cascade of impacts took time to fully resolve.
Starmer was equally effusive, gushing: This deal shows that our plan for change is working bringing in investment, driving growth, and putting more money in people's pockets. Four months later, and the tech company was left scrambling to fix a devastating global outage on Monday that left thousands of businesses in limbo and shed light on the UK government's reliance on its cloud computing business, Amazon Web Services (AWS).
Internal documents obtained by Business Insider reveal that AWS has flagged a "fundamental" shift in how startups are allocating their cloud budgets. Increasingly, they're delaying AWS cloud adoption and diverting spending toward AI models, inference, and AI developer tools. Instead of pouring money into traditional cloud services like compute and storage, these companies are spreading costs across newer AI technologies that are easier to switch between, according to the documents.
Amazon Web Services and SAP are expanding their collaboration to give European organizations more control over their data and processes in the cloud. Both companies announced that SAP Sovereign Cloud solutions will be available in AWS's European Sovereign Cloud. This infrastructure is part of a planned €7.8 billion investment by Amazon. AWS and SAP have long worked together to offer cloud and business solutions. While SAP contributes its expertise in business applications, AWS provides the infrastructure and operational support.
Amazon has been a steady winner in 2025, even as investors debate how quickly artificial intelligence will translate into dollars for the tech and retail giant. The company operates a massive online marketplace and logistics network, a fast-growing advertising platform embedded across its properties, and Amazon Web Services (AWS), the world's largest cloud infrastructure business. Recent results and guidance point to a company leaning further into its most profitable areas.
Legacy code modernization presents significant challenges for organizations looking to stay competitive in today's rapidly evolving digital landscape. Organizations face the dual challenge of maintaining business continuity while modernizing their legacy systems for cloud environments. This transformation requires organizations to carefully navigate between preserving essential business logic and implementing modern architectural patterns. This is where AI-powered development tools can make a transformative impact, as demonstrated in EPAM's recent legacy modernization project using Amazon Q Developer.
The R8i comes in variants from two to 384 vCPUs. Intel offers many Xeon 6 variants with 96 cores, which we mention as AWS counts a vCPU as one thread on an x86 processor. A single 96-core CPU therefore offers 192 EC2 vCPUs, and a two socket-server provides 384 - matching the mightiest of the R8* instance types. The instances also allow users to vary bandwidth configuration so it's allocated differently between network access and connections to Amazon's elastic block store. Doing so can apparently improve database performance.
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.
Pinterest's Hadoop Control Center (HCC) automates the management of Hadoop clusters, transforming manual workflows into a fully automated system that enhances efficiency and scalability.
Developers find AWS Elastic Beanstalk invaluable for deploying web applications without managing infrastructure. You upload code, and it manages scaling, monitoring, and load balancing.
"Our collaboration with Amazon Web Services marks a significant leap forward in integrating advanced AI technologies into our nuclear energy research and development initiatives," INL Director John Wagner said in a press release. "This collaboration underscores the critical role of linking the nation's nuclear energy laboratory with AWS."