Today, we are announcing three new capabilities that address these requirements: proxy configuration, browser profiles, and browser extensions. Together, these features give you fine-grained control over how your AI agents interact with the web. This post will walk through each capability with configuration examples and practical use cases to help you get started.

Introduction A medical imaging customer recently approached our team with a need to modernize their legacy Windows Presentation Foundation (WPF) Framework desktop applications into ASP.NET Core MVC Web applications. They wanted to use an agentic approach to speed up their modernization to achieve the up to 4x speed that other customers have realized with Amazon [...]

Cloud technology enables sustainable energy pioneers to accelerate their transition to sustainable fuels, while maintaining operational excellence and their competitive advantage in an evolving energy landscape. We will explore how energy companies are leveraging Amazon Web Services (AWS) to revolutionize their supply chain for sustainable fuel and in particular hydrotreated vegetable oil (HVO). Energy companies [...]

In this post we introduce the blue/green deployment plugin for the AWS JDBC Driver, a built-in plugin that automatically handles connection routing, traffic management, and switchover detection during blue/green deployment switchovers. We show you how to configure and use the plugin to minimize downtime during database maintenance operations during blue/green deployment switchovers.

For over 15 years, HiBid has helped auctioneers reach bidders beyond their local markets, enabling auction houses to expand from local-only events to national and global participation. Most recently, with a switch to Amazon Interactive Video Service (Amazon IVS) Real-Time Streaming for streaming live auctions, HiBid has increased the power and stability of its platform. [...]

Advances in cloud performance continue to accelerate the shift of capital markets to the cloud. This shift demands that core market infrastructure be re-engineered for cloud-based resilience and performance. Aeron’s high-performance messaging and clustering technology is purpose-built to support this move, enabling front-office trading and risk workflows, liquidity provision, trade execution, and market data to [...]

In this post, we show how to create an AI-powered recruitment system using Amazon Bedrock, Amazon Bedrock Knowledge Bases, AWS Lambda, and other AWS services to enhance job description creation, candidate communication, and interview preparation while maintaining human oversight.

In this post, we provide you with a comprehensive approach to achieve this. First, we introduce a context message strategy that maintains continuous communication between servers and clients during extended operations. Next, we develop an asynchronous task management framework that allows your AI agents to initiate long-running processes without blocking other operations. Finally, we demonstrate how to bring these strategies together with Amazon Bedrock AgentCore and Strands Agents to build production-ready AI agents that can handle complex, time-intensive operations reliably.

Migration assessments empower organizations to understand their on-premises infrastructure footprint and evaluate migration and modernization opportunities in the cloud. These assessments instill confidence in decision-makers and help organizations optimize their infrastructure, potentially reducing costs by up to 60% (Bain & Company, “Rightsizing your way to the cloud“). AWS Transform assessments help eliminate the guesswork in the [...]

In this post, we demonstrate how you can create a custom index analyzer in OpenSearch to implement autocomplete functionality efficiently by using the Edge n-gram tokenizer to match prefix queries without using wildcards.

Moeve, formerly known as Cepsa, is a global integrated energy company with over 90 years of experience and more than 11,000 employees. Moeve is committed to driving Europe’s energy transition and accelerating decarbonization efforts. The company has embraced digital transformation to enhance energy efficiency, safety, and sustainability, focusing on investments in green hydrogen, second-generation biofuels, [...]

In life sciences research, managing large-scale computational resources and data efficiently is important for success. However, traditional on-premises environments often struggle to meet these requirements effectively. This post demonstrates how JSR Corporation transformed their research infrastructure using AWS ParallelCluster and AWS DataSync, achieving a 33% reduction in CPU usage and 85% in storage requirements. JSR’s [...]

Enterprises are under increasing pressure to optimize software licensing costs, maintain vendor compliance, and make data-driven renewal decisions while managing fragmented license data across multiple Amazon Web Services (AWS) accounts and regions. Centralizing and governing this license data facilitates cost optimization, audit readiness, and strategic procurement planning. In this blog post, we’ll show you how [...]

Amazon Athena is a serverless interactive query service that makes it easy to analyze data using SQL. With Athena, there’s no infrastructure to manage, you simply submit queries and get results. Capacity Reservations is a feature of Athena that addresses the need to run critical workloads by providing dedicated serverless capacity for workloads you specify. In this post, we highlight three new capabilities that make Capacity Reservations more flexible and easier to manage: reduced minimums for fine-grained capacity adjustments, an autoscaling solution for dynamic workloads, and capacity cost and performance controls.

In this post, we demonstrate how you can implement a comprehensive monitoring strategy for Amazon RDS for SQL Server by combining AWS native tools with SQL Server diagnostic utilities. We explore AWS services including AWS Trusted Advisor, Amazon CloudWatch Database Insights, Enhanced Monitoring, and Amazon RDS events, alongside native SQL Server tools such as Query Store, Dynamic Management Views (DMVs), and Extended Events. By implementing these monitoring capabilities, you can identify potential bottlenecks before they impact your applications, optimize resource utilization, and maintain consistent database performance as your business scales.

In this post, we demonstrate how to efficiently migrate relational-style data from NoSQL to Aurora DSQL, using Kiro CLI as our generative AI tool to optimize schema design and streamline the migration process.

Today we’re excited to announce that the NVIDIA Nemotron 3 Nano 30B model with 3B active parameters is now generally available in the Amazon SageMaker JumpStart model catalog. You can accelerate innovation and deliver tangible business value with Nemotron 3 Nano on Amazon Web Services (AWS) without having to manage model deployment complexities. You can power your generative AI applications with Nemotron capabilities using the managed deployment capabilities offered by SageMaker JumpStart.

Executive Summary Across every major software category, cloud-native Software-as-a-Service (SaaS) leaders aren’t just competing—they’re redefining markets. McKinsey’s 2025 Technology Trends Outlook highlights that enterprise cloud adoption continues to accelerate, while traditional IT spending on on-premises systems steadily declines. Gartner forecasts that public cloud services will grow 21.3% in 2026, fueled by continued migration and modernization [...]

Blue/green deployments on Amazon Elastic Container Service (Amazon ECS) have long been a go-to pattern for shipping zero-downtime deployments. Historically, the recommended approach in the AWS Cloud Development Kit (AWS CDK) was to wire ECS to AWS CodeDeploy for traffic shifting, lifecycle hooks, and tight integration with AWS CodePipeline. In July 2025, Amazon ECS launched [...]

This post shows you how to implement robust error handling strategies that can help improve application reliability and user experience when using Amazon Bedrock. We’ll dive deep into strategies for optimizing performances for the application with these errors. Whether this is for a fairly new application or matured AI application, in this post you will be able to find the practical guidelines to operate with on these errors.

This post shows you how to implement intelligent notification filtering using Amazon Bedrock and its gen-AI capabilities. You’ll learn model selection strategies, cost optimization techniques, and architectural patterns for deploying gen-AI at IoT scale, based on Swann Communications deployment across millions of devices.

LinqAlpha is a Boston-based multi-agent AI system built specifically for institutional investors. The system supports and streamlines agentic workflows across company screening, primer generation, stock price catalyst mapping, and now, pressure-testing investment ideas through a new AI agent called Devil’s Advocate. In this post, we share how LinqAlpha uses Amazon Bedrock to build and scale Devil’s Advocate.

AI agents powered by large language models (LLMs) are reshaping enterprise software by turning complex tasks into conversational experiences. Instead of requiring deep expertise, users can now interact with systems in natural language and get immediate, actionable answers. But delivering this simplicity at enterprise scale is hard: AI agents must be accurate, specialized, and deeply [...]

In this post, we show how Zalando migrated their fast-serving layer data warehouse to Amazon Redshift to achieve better price-performance and scalability.

In this post, I show you how to use the new AWS DMS instance estimator tool for initial sizing recommendations, review monitoring strategies to collect accurate benchmark data, and present considerations on how to optimize your database migrations.