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Amazon RDS Custom for SQL Server adds ability to view and schedule new operating system updates - devamazonaws.blogspot.com

Amazon RDS Custom for SQL Server now provides customers with ability to view and schedule new operating system (OS) updates for RDS provided engine versions (RPEV). With RPEV, RDS Custom provides a SQL Server version pre-installed on an Amazon Machine Image (AMI). When new operating system updates are available for RPEV, customers can now view upcoming updates, apply them immediately, or schedule them for application in the next maintenance window using RDS Custom APIs. To view available OS updates, customers can use the describe-pending-maintenance-actions API, or subscribe to RDS-EVENT-0230 to receive an alert when new updates become available for their database instance. Customers can use apply-pending-maintenance-action API to apply the updates immediately or schedule them within their next maintenance window. Using these features, customers can efficiently track and apply OS updates. To learn more, refer to the Amazon RDS Custom for SQL Server User Guide . These features are...
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[MS] From Azure IoT Operations Data Processor Pipelines to Dataflows - devamazonaws.blogspot.com

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We recently completed an 18-month journey building an event detection system at the edge with Azure IoT Operations (AIO). The goal was simple to describe but complex to execute: use a Vision Model to detect real-world events, then raise confidence by correlating that signal with other data sources —from industrial sensors to weather APIs. This meant designing heuristic logic at the edge: the “brain” that fuses data from multiple inputs to decide if something really happened. And as the technology evolved, so did our architecture. The Evolution: From jq Pipelines to WASM Dataflows When we started, we leaned on AIO Data Processor Pipelines —a familiar tool we had used before for Overall Equipment Effectiveness (OEE) calculations. It was simple, declarative, and built on jq (JSON Query), making transformations approachable. We even published a blog post in July 2024 about how effective it was. But when we took our processing logic to a pilot in production, the Azure IoT Operations te...
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AWS Security Agent now available with Service Quotas - devamazonaws.blogspot.com

Amazon Security Agent now supports AWS Service Quotas, giving users a centralized way to view applied limits, monitor utilization, and scale case workloads without hitting unexpected service constraints. You can request quota increases directly from the Service Quotas console, and eligible requests are automatically approved without manual intervention.  The service supports limits on pentesting action hours, and concurrent running pentest jobs. AWS Security Agent is ideal for security teams, and development teams looking to enhance their security practices  To learn more about AWS Security Agent and its capabilities, visit the AWS Security Agent page . For detailed information on service quotas and how to request increases, refer to the AWS Security Agent documentation . Post Updated on March 13, 2026 at 10:38PM
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[MS] Visual Studio Code 1.112 - devamazonaws.blogspot.com

Learn what's new in Visual Studio Code 1.112 Read the full article Post Updated on March 18, 2026 at 05:00PM Thanks for reading from devamazonaws.blogspot.com
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Amazon Connect voice AI agents now supports 13 new languages - devamazonaws.blogspot.com

Amazon Connect now supports 13 new languages for voice AI agents, bringing the total to 40 language locales.  New languages include Arabic (Saudi Arabia), Czech, Danish, Dutch (Belgium), English (Ireland), English (New Zealand), English (Wales), German (Switzerland), Icelandic, Romanian, Spanish (Mexico), Turkish, and Welsh. Amazon Connect's agentic self-service capabilities enable AI agents to understand, reason, and take action across voice and digital channels to automate routine and complex customer service tasks across multiple languages.   To learn more about this feature, see the Amazon Connect  Administrator Guide . To learn more about Amazon Connect, a complete AI-powered contact center solution delivering personalized customer experiences at scale, visit the Amazon Connect  website. Post Updated on March 17, 2026 at 09:52PM
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Simplified permissions for Amazon S3 Tables and Iceberg materialized views - devamazonaws.blogspot.com

AWS Glue Data Catalog now supports AWS IAM-based authorization for Amazon S3 Tables and Apache Iceberg materialized views. With IAM-based authorization, you can define all necessary permissions across storage, catalog, and query engines in a single IAM policy. This capability simplifies the integration of S3 Tables or materialized views with any AWS Analytics service, including Amazon Athena, Amazon EMR, Amazon Redshift, and AWS Glue. You can also opt in to AWS Lake Formation at any time to manage fine-grained access controls using the AWS Management Console, AWS CLI, API, and AWS CloudFormation. This feature is now available in select AWS Regions. To learn more, visit the S3 Tables documentation and the AWS Glue Data Catalog documentation . Post Updated on March 17, 2026 at 04:00AM
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[MS] Azure DevOps Remote MCP Server (public preview) - devamazonaws.blogspot.com

When we released the local Azure DevOps MCP Server , it gave customers a way to connect Azure DevOps data with tools like Visual Studio and Visual Studio Code through GitHub Copilot Chat. The next step was to make this experience easier to get started with and to enable it for services that support only remote MCP servers. The Remote MCP Server is a hosted version of the Azure DevOps MCP Server that uses streamable HTTP transport. It supports the same core scenarios as the local server but removes the need for additional setup and installation. The Remote Azure DevOps MCP Server preview is available now. We are excited to see how teams use it and will continue investing in the experience as we expand support and improve the MCP Server tools. 👟 Getting Started Getting started in simple. Depending on the tools that you are using, you only need to add the following server information to your mcp.json . { "servers": { "ado-remote-mcp": { "url...
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