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Amazon Q Developer in GitHub (in preview) accelerates code generation

Amazon Q Developer in GitHub (in preview) accelerates code generation

Amazon Q Developer is now available in preview on GitHub, enabling developers to assign tasks to an AI agent that can develop features, conduct code reviews, enhance security, and migrate Java code, all directly within GitHub issues.

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Amazon Q Developer elevates the IDE experience with new agentic coding experience

Amazon Q Developer elevates the IDE experience with new agentic coding experience

This new interactive, agentic coding experience for Visual Studio Code allows Q Developer to intelligently take actions on behalf of the developer.

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Accelerate the transfer of data from an Amazon EBS snapshot to a new EBS volume

Accelerate the transfer of data from an Amazon EBS snapshot to a new EBS volume

Amazon EBS introduces a new Provisioned Rate for Volume Initialization to accelerate data transfer from EBS snapshots to new EBS volumes by specifying a consistent volume initialization rate, improving workflow efficiency and predictability.

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  • Power Your LLM Training and Evaluation with the New SageMaker AI Generative AI Tools
    Sundar Raghavan, Alan Ismaiel, Jesse Manders, Kavya Kotra, Muyun Yan, Niharika Jayanthi, 06/24/2025
    Today we are excited to introduce the Text Ranking and Question and Answer UI templates to SageMaker AI customers. In this blog post, we’ll walk you through how to set up these templates in SageMaker to create high-quality datasets for training your large language models.
  • Optimize Amazon RDS Multi-AZ backups with incremental snapshots
    Katja-Maja Kroedel, 06/24/2025
    As your business grows and your databases expand into the terabyte range, optimizing your backup strategy becomes increasingly important for maintaining operational excellence. Modern backup solutions that implement incremental backups where possible, offer an elegant way to protect your valuable data while minimizing maintenance windows and ensuring consistent application performance. In this post, we discuss the aspects of maximizing the use of incremental backups in Amazon RDS, leading to backup times remaining steady even while the database grows.
  • Migrate io1 to io2 Block Express storage for Amazon RDS workloads using blue/green deployments
    Praney Mahajan, David Gardner, Naseer Sayyad, 06/24/2025
    Amazon RDS provides two storage types: Provisioned IOPS SSD and General Purpose SSD. They differ in performance characteristics and price, which means that you can tailor your storage performance and cost to the needs of your database workload. In this post, we show how you can migrate from io1 to io2 Block Express Provisioned IOPS SSD storage.
  • Amazon Bedrock Agents observability using Arize AI
    Ishan Singh, John Gilhuly, Musarath Rahamathullah, Mani Khanuja, Richa Gupta, Aris Tsakpinis, Yanyan Zhang, 06/24/2025
    Today, we’re excited to announce a new integration between Arize AI and Amazon Bedrock Agents that addresses one of the most significant challenges in AI development: observability. In this post, we demonstrate the Arize Phoenix system for tracing and evaluation.
  • Enabling digital transformation to advance healthcare
    Michael Leonard, 06/24/2025
    Learn how Amazon Web Services and third-party solutions from AWS Marketplace equip healthcare organizations with tools that enhance data security, accelerate AI adoption, streamline workflows, and improve patient outcomes.
  • New: Improve Apache Iceberg query performance in Amazon S3 with sort and z-order compaction
    Sébastien Stormacq, 06/24/2025
    Amazon S3 now enables improved Apache Iceberg query performance through two new compaction strategies—sort and z-order—available for both S3 Tables and general purpose S3 buckets, helping organize data more efficiently by clustering similar values together and reducing file scanning during queries.
  • Responsible AI: From Principles to Production
    Helena Yin Koeppl, 06/24/2025
    Responsible AI is the practice of designing, developing, and using AI technology with the goal of maximizing benefits and minimizing risks. It’s now a business imperative. Accenture’s Technology Vision 2025 report reveals that 77% of executives believe that the true benefits of AI will only be possible when built on a foundation of trust.1 As [...]
  • Capture data lineage from dbt, Apache Airflow, and Apache Spark with Amazon SageMaker
    Jose Romero, Priya Tiruthani, 06/24/2025
    This post walks you through how to use the OpenLineage-compatible API of SageMaker or Amazon DataZone to push data lineage events programmatically from tools supporting the OpenLineage standard like dbt, Apache Airflow, and Apache Spark.
  • The future of customer service is here: From contact centers to experience hubs
    akvemuga, 06/24/2025
    Discover how Amazon Connect transforms traditional contact centers into AI-powered experience hubs that reduce costs, increase efficiency, and deliver personalized customer experiences at scale. In 2017, we launched Amazon Connect to solve the challenges we conquered in Amazon’s own customer service operations. Our mission: deliver simple, cost-effective technology that creates exceptional customer experiences at any [...]
  • Non-disruptive streaming with Olyzon and AWS Elemental MediaTailor preconditioned ads
    Thomas Buatois, 06/24/2025
    Streaming video providers face the ongoing challenge of maximizing ad revenue while preserving viewer engagement. The challenge lies in delivering seamless advertisements (ads) that integrate with content without causing buffering delays, quality degradation, or playback interruptions that drive viewers away. AWS Partner Olyzon has developed an innovative solution using the preconditioned ads of Amazon Web [...]
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