AWS Blogs on 🦋

Scale global live reach with AWS powered real-time WebVTT multilingual subtitling Live streaming now reaches audiences across continents in real time, but language barriers still limit how many people can engage with this content. Traditional subtitle generation methods, which rely on manual translation services or prerecorded content workflows, can’t keep pace with the demands of live broadcasting. In this post, we share a solution that delivers [...]

📰 New article by Michelle Benson

Scale global live reach with AWS powered real-time WebVTT multilingual subtitling

#AWS #Media

How government agencies can transform cybersecurity operations with Amazon Bedrock AgentCore Government agencies are facing a cybersecurity challenge. Traditional security information and event management (SIEM) systems generate thousands of alerts on a daily basis, overwhelming security operations center (SOC) analysts who spend countless hours manually investigating incidents. Studies show that 70% of alerts turn out to be false positives. This reactive approach creates critical vulnerabilities: alert [...]

📰 New article by Sanjeev Pulapaka

How government agencies can transform cybersecurity operations with Amazon Bedrock AgentCore

#AWS #PublicSector

AI-augmented threat actor accesses FortiGate devices at scale Commercial AI services are enabling even unsophisticated threat actors to conduct cyberattacks at scale—a trend Amazon Threat Intelligence has been tracking closely. A recent investigation illustrates this shift: Amazon Threat Intelligence observed a Russian-speaking financially motivated threat actor leveraging multiple commercial generative AI services to compromise over 600 FortiGate devices across more than 55 countries [...]

📰 New article by CJ Moses

AI-augmented threat actor accesses FortiGate devices at scale

#AWS #Security #Identity #Compliance

Amazon SageMaker AI in 2025, a year in review part 1: Flexible Training Plans and improvements to price performance for inference workloads In 2025, Amazon SageMaker AI saw dramatic improvements to core infrastructure offerings along four dimensions: capacity, price performance, observability, and usability. In this series of posts, we discuss these various improvements and their benefits. In Part 1, we discuss capacity improvements with the launch of Flexible Training Plans. We also describe improvements to price performance for inference workloads. In Part 2, we discuss enhancements made to observability, model customization, and model hosting.

📰 New article by Dan Ferguson, Deepti Ragha, Dmitry Soldatkin, Lokeshwaran Ravi, Ram Vegiraju, Sadaf Fardeen

Amazon SageMaker AI in 2025, a year in review part 1: Flexible Training Plans and improvements to price performance for inference workloads

#AWS #AI #MachineLearning

Amazon SageMaker AI in 2025, a year in review part 2: Improved observability and enhanced features for SageMaker AI model customization and hosting In 2025, Amazon SageMaker AI made several improvements designed to help you train, tune, and host generative AI workloads. In Part 1 of this series, we discussed Flexible Training Plans and price performance improvements made to inference components. In this post, we discuss enhancements made to observability, model customization, and model hosting. These improvements facilitate a whole new class of customer use cases to be hosted on SageMaker AI.

📰 New article by Dan Ferguson, Deepti Ragha, Dmitry Soldatkin, Lokeshwaran Ravi, Ram Vegiraju, Sadaf Fardeen

Amazon SageMaker AI in 2025, a year in review part 2: Improved observability and enhanced features for SageMaker AI model customization and hosting

#AWS #AI #MachineLearning

The New AWS Transform .NET Developer Experience At re:Invent 2025, AWS Transform unveiled an enhanced .NET developer experience in Visual Studio that is customizable, transparent, iterative, and collaborative. Our customers have asked for more insight into transformation activity and the ability to steer transformations. Developers can now benefit from editable transformation plans, estimated transformation time, real-time progress updates, next steps recommendations, and [...]

📰 New article by David Pallmann

The New AWS Transform .NET Developer Experience

#AWS #DotNet

qibb and AWS redefine media workflows Today, media companies (such as broadcasters, streaming platforms, news and sports media outlets, and major film and television studios) face an increasingly complex content landscape. Under pressure to create more content with fewer resources, they need to keep up with rising audience expectations for faster, more personalized, and higher-quality content. Media teams often rely on [...]

📰 New article by Guillermo Garcia, Daniel Jiménez, Raoul Roy

qibb and AWS redefine media workflows

#AWS #Media

Integrate external tools with Amazon Quick Agents using Model Context Protocol (MCP) In this post, you’ll use a six-step checklist to build a new MCP server or validate and adjust an existing MCP server for Amazon Quick integration. The Amazon Quick User Guide describes the MCP client behavior and constraints. This is a “How to” guide for detailed implementation required by 3P partners to integrate with Amazon Quick with MCP.

📰 New article by Ebbey Thomas, Vishnu Elangovan, Sonali Sahu

Integrate external tools with Amazon Quick Agents using Model Context Protocol (MCP)

#AWS #AI #MachineLearning

Granicus and AWS: Reshaping government service with trusted AI The relationship between a government and the people it serves becomes stronger when answers are consistent, cited from official sources, and readily available. Solutions like Granicus’s Government Experience Agent (GXA), built on Amazon Web Services (AWS) and co-developed with agencies to accelerate their desired outcomes, are already delivering real-world success.

📰 New article by AWS Public Sector Blog Team

Granicus and AWS: Reshaping government service with trusted AI

#AWS #PublicSector

Building a serverless MRI pipeline for precision medicine on AWS The Australian Epilepsy Project (AEP) is transforming epilepsy diagnosis and care across Australia. The AEP team faced a daunting challenge: processing and analyzing 20-hour magnetic resonance imaging (MRI) workflows for participants and clinicians scattered across the country. Their solution—a serverless, container-orchestrated neuroimaging pipeline on Amazon Web Services (AWS)—has accelerated the delivery of life-changing results to clinicians and patients while reducing costs by over 35%.

📰 New article by Aaron Capon, PhD, Akshat Arora, Juan Mejia

Building a serverless MRI pipeline for precision medicine on AWS

#AWS #PublicSector

Qiskit-Braket provider v0.11: New Primitives and Flexible Circuit Compilation We recently released v0.11 of the Qiskit-Braket provider, which brings more Qiskit features to Amazon Braket users, improves access to Braket backends through Qiskit, and also enables compilation on the Braket SDK or with OpenQASM Programs. With v0.11, the Qiskit-Braket provider now: Supports flexible compilation features for Braket using common Qiskit transpile functionality through the [...]

📰 New article by Cody Wang, Charunethran Panchalam Govindarajan, Ishaan Pakrasi, Ryan Shaffer, Scott Smart

Qiskit-Braket provider v0.11: New Primitives and Flexible Circuit Compilation

#AWS #QuantumComputing

Four ways Amazon Quick Suite can help State Medicaid Agency APD authors What if state Medicaid agencies could streamline their federal funding requests and avoid costly delays that put critical IT modernization projects at risk? An Advance Planning Document (APD) is the formal mechanism through which states request federal funding from the Centers for Medicare & Medicaid Services (CMS) to support Medicaid technology projects. These complex documents [...]

📰 New article by Nick Aretakis, Vignesh Srinivasan

Four ways Amazon Quick Suite can help State Medicaid Agency APD authors

#AWS #PublicSector

Six best practices for building resilient higher-education applications on AWS Over the past five years, a world-renowned higher education institution has partnered with AWS and AWS Partner EPI-USE to modernize its most critical applications. The result: a serverless, multi-Region, and secure architecture built with the AWS Cloud Development Kit (AWS CDK) that transforms how the institution delivers technology services. This modernization effort revealed six essential best practices that any higher education CIO, CTO, or enterprise architect can implement to strengthen institutional resilience and future-proof their technology infrastructure.

📰 New article by Brian McCarthy, Juan Heyns

Six best practices for building resilient higher-education applications on AWS

#AWS #PublicSector

Too rare for care: How AI is helping solve the rare disease paradox With a smartphone, mGene’s AI technology can analyze facial features to identify subtle indications of genetic syndromes It’s one of medicine’s tragic paradoxes that, collectively, rare diseases have significant impact on human health. The World Health Organization defines conditions affecting fewer than 1 in 2,000 people as rare, and it’s estimated that over 300 million [...]

📰 New article by Dr. Rowland Illing

Too rare for care: How AI is helping solve the rare disease paradox

#AWS #PublicSector

Upgrade legacy Amazon RDS file systems to increase storage capacity and improve performance with minimal downtime Amazon RDS instances running on legacy file systems face several limitations. Storage is capped at 16 TiB, and some engines, including MySQL, MariaDB, and PostgreSQL, may encounter per-file size limits of approximately 2 TiB due to file system constraints, even though the database engines themselves support larger objects. In this post, I show you how to upgrade an RDS instance to the current file system with minimal downtime using Amazon RDS blue/green deployments.

📰 New article by Thuymy Tran

Upgrade legacy Amazon RDS file systems to increase storage capacity and improve performance with minimal downtime

#AWS #Databases

Migration at Scale: The Fanatics Commerce AWS Journey This case study demonstrates how Fanatics Commerce successfully planned a large-scale migration of 1,800 servers across five data centers to AWS, achieving projected 48% infrastructure cost savings while maintaining global operational continuity. Fanatics Commerce (fanatics.com), the global leader in licensed sports merchandise, operates a tech-powered, omnichannel platform that creates exceptional fan experiences across retail channels. [...]

📰 New article by Parker Bradshaw, Parth Soni, Tim Strayer

Migration at Scale: The Fanatics Commerce AWS Journey

#AWS #Migrations #Modernization

Accelerating analytics and reducing costs: Maryland Benefits’ implementation of Amazon Quick Sight In this post, we share how Maryland Benefits transformed its data analytics capabilities by implementing Amazon Quick Sight, resulting in significant improvements in reporting efficiency, decision-making speed, and cost optimization across our organization.

📰 New article by Lingam Chockalingam, Karunakaran Muthusamy, Sid Joshi

Accelerating analytics and reducing costs: Maryland Benefits’ implementation of Amazon Quick Sight

#AWS #BI #BusinessIntelligence

Microsoft Teams Optimization for Amazon WorkSpaces Now Generally Available We have got some exciting news to share: Microsoft Teams optimization for Amazon WorkSpaces is now generally available to all customers. If you’ve been looking for a way to make virtual meetings smoother and more reliable in your WorkSpaces environment, Microsoft Teams optimization provides this capability. From Public Preview to General Availability Back in September [...]

📰 New article by Stephen Stetler, Paolo Maggi

Microsoft Teams Optimization for Amazon WorkSpaces Now Generally Available

#AWS #DesktopStreaming #ApplicationStreaming

Automatically decompress files in Amazon S3 using AWS Step Functions Every day, AWS customers process millions of compressed files in Amazon S3, from small ZIP archives to multi-gigabyte datasets. While decompressing a single file is straightforward, processing thousands of files efficiently requires complex orchestration, error handling, and infrastructure management. Consider this scenario: Your organization receives over 10,000 compressed files daily from partners, ranging from 5 [...]

📰 New article by Sandeep Mishra, Ali Syed, Santosh Jade

Automatically decompress files in Amazon S3 using AWS Step Functions

#AWS #Storage

How to manage peak traffic on AWS using Queue-it’s virtual waiting room Queue-it, an AWS Partner, integrates with Amazon CloudFront to provide virtual waiting room capabilities that control visitor flow during high-traffic events—addressing scenarios where traffic spikes faster than infrastructure can scale, backend systems hit constraints, or fairness matters for limited-inventory sales. Built entirely on AWS services including DynamoDB, Lambda@Edge, and Amazon EC2, Queue-it’s solution helped Sky Mobile achieve a 37% conversion rate increase during their iPhone launch and enabled His Majesty’s Passport Office to handle traffic spikes of nearly 70,000 applications while maintaining system stability.

📰 New article by Jasmine Chua, Martin Larsen, Mojtaba Sarooghi, Christian Schøning, Alexander Guensche

How to manage peak traffic on AWS using Queue-it’s virtual waiting room

#AWS #AWSPartnerNetwork

Build AI workflows on Amazon EKS with Union.ai and Flyte In this post, we explain how you can use the Flyte Python SDK to orchestrate and scale AI/ML workflows. We explore how the Union.ai 2.0 system enables deployment of Flyte on Amazon Elastic Kubernetes Service (Amazon EKS), integrating seamlessly with AWS services like Amazon Simple Storage Service (Amazon S3), Amazon Aurora, AWS Identity and Access Management (IAM), and Amazon CloudWatch. We explore the solution through an AI workflow example, using the new Amazon S3 Vectors service.

📰 New article by ND Ngoka, Alex Fabisiak, Jim Fratantoni, Samhita Alla, Kristy Cook, Theo Rashid

Build AI workflows on Amazon EKS with Union.ai and Flyte

#AWS #AI #MachineLearning

Amazon Quick Suite now supports key pair authentication to Snowflake data source In this blog post, we will guide you through establishing data source connectivity between Amazon Quick Sight and Snowflake through secure key pair authentication.

📰 New article by Vignessh Baskaran, Nithyashree Alwarsamy, Andries Engelbrecht, Chinnakanu Sai Janakiram

Amazon Quick Suite now supports key pair authentication to Snowflake data source

#AWS #AI #MachineLearning

March 2026 Amazon Quick events Amazon Quick helps business users make better decisions, faster and take action on them by unifying AI agents for research, insights, and automation into a single experience that understands your complete data context. To see all upcoming events, check out the events page on the Quick Community and watch our previous Amazon Quick Learning Series sessions on demand here.

📰 New article by Madi Hsieh

March 2026 Amazon Quick events

#AWS #BI #BusinessIntelligence

Build unified intelligence with Amazon Bedrock AgentCore In this post, we demonstrate how to build unified intelligence systems using Amazon Bedrock AgentCore through our real-world implementation of the Customer Agent and Knowledge Engine (CAKE).

📰 New article by Monica Jain, Damien Forthomme, Mihir Gadgil, Muhammad Umar Javed, Norman Braddock, Sujit Narapareddy

Build unified intelligence with Amazon Bedrock AgentCore

#AWS #AI #MachineLearning

From spec to production: a three-week drug discovery agent using Kiro Introduction Building production-ready agentic AI solutions can present significant challenges—from navigating complex architectures to establishing clear development patterns. The life sciences industry adds further complexity: strict regulations, diverse data modalities, and the variety of diseases all require additional time and specialized approaches. At AWS, we believe there’s a better path forward. AWS continues to invest [...]

📰 New article by Necibe Ahat, Ariella Sasson, Deepesh Koppunuru, Hamza Mahmood, Mingfei Bi, Michael Steward

From spec to production: a three-week drug discovery agent using Kiro

#AWS #Industries

📰 New article by Sridhar Mahadevan, Vijai Thoppae

Automate Procurement Workflows with AI Agents using Amazon Bedrock AgentCore

#AWS #Industries

Say Hello to 224 New AWS Competency, Service Delivery, Service Ready, and MSP Partners Added in January We are excited to highlight 224 AWS Partners that received new or renewed specializations in January for our global AWS Competency, AWS Managed Service Provider (MSP), AWS Service Delivery, and AWS Service Ready programs. These designations span workload, solution, and industry, and help AWS customers identify top AWS Partners that can deliver on core business objectives. AWS Partners are focused on your success, helping customers take full advantage of the business benefits AWS has to offer.

📰 New article by Nick Paris

Say Hello to 224 New AWS Competency, Service Delivery, Service Ready, and MSP Partners Added in January

#AWS #AWSPartnerNetwork

Implementing search on Amazon DynamoDB data using zero-ETL integration with Amazon OpenSearch service In this post, we show you how to implement search on Amazon DynamoDB data using the zero-ETL integration with Amazon OpenSearch Service. You will learn how to add full-text search, fuzzy matching, and complex search queries to your application without building and maintaining data pipelines.

📰 New article by Vamsi Krishna Ganti, Sudhansu Mohapatra, Varun Sharma

Implementing search on Amazon DynamoDB data using zero-ETL integration with Amazon OpenSearch service

#AWS #Databases

📰 New article by Moshiko Ben Abu, Riki Nizri, Sofie Zilberman

How CyberArk uses Apache Iceberg and Amazon Bedrock to deliver up to 4x support productivity

#AWS #BigData

Best practices for right-sizing Amazon OpenSearch Service domains In this post, we guide you through the steps to determine if your OpenSearch Service domain is right-sized, using AWS tools and best practices to optimize your configuration for workloads like log analytics, search, vector search, or synthetic data testing.

📰 New article by Nikhil Agarwal, Arun Lakshmanan, Rick Balwani

Best practices for right-sizing Amazon OpenSearch Service domains

#AWS #BigData