#aws

#aws

Dynatrace connects its observability platform to Amazon Bedrock AgentCore. The integration provides real-time insight into autonomous AI agents within AWS environments. For developers, this means better control over agentic workflows and their performance. Amazon Bedrock AgentCore helps build and deploy AI agents without requiring infrastructure management. The integration with Dynatrace ensures that agent telemetry is converted into insights. Teams can use this to monitor the reliability and responsiveness of agents at the trace level. Intelligent alerts for key metrics become possible.

Instead of navigating AWS Console or writing scripts, just ask: Example Queries: "What are the IP addresses of my EC2 instances?" → Gets all running instances with public/private IPs "How much storage am I using in S3?" → Lists all buckets with sizes and costs "Show me my CloudWatch alarms" → Displays all alarms with status and metrics "Are there any security issues?" → AI-powered security analysis with recommendations

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.

For years, Microsoft worked almost exclusively with OpenAI, in which it has invested more than $13 billion. This collaboration gave the company a solid lead in the AI market. However, Microsoft is now opting for a broader approach. Developers involved in the AI features in Office have reportedly found that Anthropic's latest models perform better than OpenAI's in specific tasks, such as automating financial calculations in Excel or creating attractive presentations in PowerPoint.

System Initiative recently released its AI Native Infrastructure Automation platform, aiming to offer DevOps teams a new way to manage infrastructure through natural language. With this release, users can type simple prompts, such as "make load balancer health checks more aggressive", and the system's AI agent will discover relevant infrastructure, simulate proposed changes, and execute updates upon approval. System Initiative claims all of this will occur while maintaining full automation and safety within live environments.

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.