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AWS Backup adds new Multi-party approval for logically air-gapped vaults

AWS Backup adds new Multi-party approval for logically air-gapped vaults

Multi-party approval for AWS Backup logically air-gapped vaults enables organizations to recover their backup data even when their AWS account is compromised, by creating approval teams of trusted individuals who can authorize vault sharing with a recovery account through a separate authentication path.

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AWS re:Inforce roundup 2025: top announcements

AWS re:Inforce roundup 2025: top announcements

At AWS re:Inforce 2025 (June 16-18, Philadelphia), AWS Vice President and Chief Information Security Officer Amy Herzog delivered the keynote address, announcing new security innovations. Throughout the event, AWS announced additional security capabilities focused on simplifying security at scale and enabling organizations to build more resilient applications in the cloud. Below is a comprehensive roundup [...]

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The rise of autonomous agents: What enterprise leaders need to know about the next wave of AI

The rise of autonomous agents: What enterprise leaders need to know about the next wave of AI

Autonomous AI agents are evolving beyond chatbots to become independent systems that can reason and complete complex tasks, driving enterprise adoption through improved technology and development tools.

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  • Quantifying the Impact of Developer Experience: Amazon’s 15.9% Breakthrough
    Jim Haughwout, 07/10/2025
    For 25 years, I have worked to improve developer experiences. Every leader I work with recognizes that doing so is valuable, yet one question remains: How do these improvements translate into concrete, measurable business value? AWS customers often ask me how Amazon thinks about this question. In December 2023, when I was presenting my team’s [...]
  • AWS AI infrastructure with NVIDIA Blackwell: Two powerful compute solutions for the next frontier of AI
    David Brown, 07/09/2025
    In this post, we announce general availability of Amazon EC2 P6e-GB200 UltraServers and P6-B200 instances, powered by NVIDIA Blackwell GPUs, designed for training and deploying the largest, most sophisticated AI models.
  • New Amazon EC2 P6e-GB200 UltraServers accelerated by NVIDIA Grace Blackwell GPUs for the highest AI performance
    Channy Yun (윤석찬), 07/09/2025
    Amazon announces the general availability of EC2 P6e-GB200 UltraServers, powered by NVIDIA Grace Blackwell GB200 superchips that enable up to 72 GPUs with 360 petaflops of computing power for AI training and inference at the trillion-parameter scale.
  • Using AWS IoT Device Management commands to simplify remote actions on IoT devices
    Ryan Dsouza, Sara Akkandi, 07/09/2025
    Introduction In today’s highly connected modern world, Internet of Things (IoT) devices are transforming how we interact with our homes, offices, and industries. Smart technology now extends from homes to cars and industrial equipment. Controlling these devices remotely is essential and offers improved productivity, user experience, and risk management. This blog explores how to send [...]
  • A Lemongrass success story: Enhancing Multi-Region SD-WAN failover with AWS Cloud WAN
    Ankush Goyal, Ronnie Butler (Guest), Hardik Shah, 07/09/2025
    Managing multi-Region network connectivity at scale is a critical challenge for modern enterprises. At Lemongrass Consulting, we enhanced our Amazon Web Services (AWS) network architecture by implementing AWS Cloud WAN. This implementation enabled intent-based routing between multiple AWS Regions while providing seamless on-premises integration through SD-WAN in our multi-Region AWS environment. Throughout this transformation, we [...]
  • How federal agency leaders are using AWS tools to improve efficiency
    Emma Harrison, 07/09/2025
    Federal agencies are using cloud-based tools to increase productivity, reduce resource use, and improve their ability to efficiently serve the public. This article highlights the pioneering leaders forging new paths into cloud-based government.
  • Unlock retail intelligence by transforming data into actionable insights using generative AI with Amazon Q Business
    Suprakash Dutta, Abhijit Dutta, Girish Nazhiyath, Krishnan Hariharan, Alberto Alonso, Ramesh Venkataraman, 07/09/2025
    Amazon Q Business for Retail Intelligence is an AI-powered assistant designed to help retail businesses streamline operations, improve customer service, and enhance decision-making processes. This solution is specifically engineered to be scalable and adaptable to businesses of various sizes, helping them compete more effectively. In this post, we show how you can use Amazon Q Business for Retail Intelligence to transform your data into actionable insights.
  • Develop and monitor a Spark application using existing data in Amazon S3 with Amazon SageMaker Unified Studio
    Amit Maindola, Abhilash Nagilla, 07/09/2025
    In this post, we demonstrate how to develop and monitor a Spark application using existing data in Amazon S3 using SageMaker Unified Studio. The solution addresses key challenges organizations face in managing big data analytics workloads through an integrated development environment where data teams can develop, test, and refine Spark applications while leveraging EMR Serverless for dynamic resource allocation and built-in monitoring tools.
  • Introducing AWS Builder Center: A new home for the AWS builder community
    Channy Yun (윤석찬), Matheus Guimaraes, 07/09/2025
    Visit builder.aws.com to begin exploring AWS Builder Center. Sign up for a Builder ID if you don’t have one yet and claim your unique alias to access all features, including content creation, wishlist, and community engagement tools.
  • Orchestrating document processing with AWS AppSync Events and Amazon Bedrock
    Mehdi Amrane, 07/09/2025
    Many organizations implement intelligent document processing pipelines in order to extract meaningful insights from an increasing volume of unstructured content (such as insurance claims, loan applications and more). Traditionally, these pipelines require significant engineering efforts, as the implementation often involves using several machine learning (ML) models and orchestrating complex workflows. As organizations integrate these pipelines [...]
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