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Elizabeth Fuentes, 07/07/2025Every Monday we tell you about the best releases and blogs that caught our attention last week. Before continuing with this AWS Weekly Roundup, I’d like to share that last month I moved with my family to San Francisco, California, to start a new role as Developer Advocate/SDE, GenAI. This excites me because I’ll have [...]
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Arunsingh Jeyasingh Jacob, Alicja Kwasniewska, Shashank Saraogi, Nat Gale, Durran Kelly, 07/07/2025INRIX pioneered the use of GPS data from connected vehicles for transportation intelligence. In this post, we partnered with Amazon Web Services (AWS) customer INRIX to demonstrate how Amazon Bedrock can be used to determine the best countermeasures for specific city locations using rich transportation data and how such countermeasures can be automatically visualized in street view images. This approach allows for significant planning acceleration compared to traditional approaches using conceptual drawings.
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Niithiyn Vijeaswaran, Avan Bala, John Liu, Mohhid Kidwai, Rohit Talluri, Varun Morishetty, Yousuf Athar, 07/07/2025Today, we are excited to announce that Qwen3, the latest generation of large language models (LLMs) in the Qwen family, is available through Amazon Bedrock Marketplace and Amazon SageMaker JumpStart. With this launch, you can deploy the Qwen3 models—available in 0.6B, 4B, 8B, and 32B parameter sizes—to build, experiment, and responsibly scale your generative AI applications on AWS. In this post, we demonstrate how to get started with Qwen3 on Amazon Bedrock Marketplace and SageMaker JumpStart.
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Steven Warwick, 07/07/2025Traditional Retrieval Augmented Generation (RAG) systems consume valuable resources by ingesting and maintaining embeddings for documents that might never be queried, resulting in unnecessary storage costs and reduced system efficiency. This post presents a just-in-time knowledge base solution that reduces unused consumption through intelligent document processing. The solution processes documents only when needed and automatically removes unused resources, so organizations can scale their document repositories without proportionally increasing infrastructure costs.
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Kiowa Jackson, Piotr Chotkowski, 07/07/2025In this post, we show how to build a fully deployable solution that processes video streams using OpenCV, Amazon Bedrock for contextual scene understanding and automated responses through Amazon Bedrock Agents. This solution extends the capabilities demonstrated in Automate chatbot for document and data retrieval using Amazon Bedrock Agents and Knowledge Bases, which discussed using Amazon Bedrock Agents for document and data retrieval. In this post, we apply Amazon Bedrock Agents to real-time video analysis and event monitoring.
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Andrew Peng, Andrew MacKay, 07/07/2025Discover how Superna Defender helps protect your AWS cloud storage from ransomware and cyber threats. Learn about real-time monitoring, threat detection, and automated recovery features that safeguard your Amazon S3 and Amazon FSx for Windows File server storage resources while maintaining compliance with cybersecurity frameworks.
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Aman Dhingra, 07/07/2025In this post, we demonstrate how to evaluate throughput utilization for DynamoDB tables in provisioned mode. Understanding this metrics helps you determine whether switching to on-demand mode is the right choice. Moving to on-demand mode, where you pay-per-request for throughput, can optimize costs, eliminate capacity planning, minimize operational overhead, and enhance overall user experience for your applications.
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Tea Jioshvili, Manuel Mazarredo, 07/07/2025We’re excited to announce that AWS has completed the CyberVadis assessment of its security posture with the highest score (Mature) in all assessed areas. This demonstrates our continued commitment to meet the heightened expectations for cloud service providers. Customers can now use the 2025 AWS CyberVadis report and scorecard to reduce their supplier due-diligence burden. With [...]
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Swapna Bandla, Austin Groeneveld, 07/07/2025We’re happy to announce a new feature in the Data Firehose integration with Amazon MSK. You can now specify the Firehose stream to either read from the earliest position on the Kafka topic or from a custom timestamp to begin reading from your MSK topic. In this post of this series, we focus on managed data delivery from Kafka to your data lake.
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Amit Maindola, Srinivas Kandi, Hossein Johari, Ahmad Rawashdeh, Lei Meng, 07/07/2025In this post, we show you how Stifel implemented a modern data platform using AWS services and open data standards, building an event-driven architecture for domain data products while centralizing the metadata to facilitate discovery and sharing of data products.