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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

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

[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...

Amazon CloudWatch Logs now supports log ingestion using HTTP-based protocol - devamazonaws.blogspot.com

Amazon CloudWatch Logs now supports HTTP Log Collector (HLC), ND-JSON, Structured JSON and OTEL for sending logs using HTTP-based protocol with bearer token. With this launch, customers can ingest logs where AWS SDK integration is not feasible, such as with third-party or packaged software. The new endpoints are: HTTP Log Collector (HLC) Logs (https://logs .<region>.amazonaws.com/services/collector/event) — for JSON events, ideal for migrating existing log pipelines.  ND-JSON Logs (https://logs.<region>.amazonaws.com/ingest/bulk) — for newline-delimited JSON, where each line is an independent log event. Perfect for high-volume streaming and bulk log ingestion.  Structured JSON Logs (https://logs .<region>.amazonaws.com/ingest/json) — Send a single JSON object or a JSON array of objects. OpenTelemetry Logs (https://logs .<region>.amazonaws.com/v1/logs) — for OTLP-formatted logs...

Amazon CloudWatch introduces organization-wide EC2 detailed monitoring enablement - devamazonaws.blogspot.com

Amazon CloudWatch now allows customers to automatically enable Amazon Elastic Compute Cloud (EC2) detailed monitoring across their AWS Organization. Customers can create enablement rules in CloudWatch Ingestion that automatically enable detailed monitoring for both existing and newly launched EC2 instances matching the rule scope, ensuring consistent metrics collection at 1-minute intervals across their EC2 instances. EC2 detailed monitoring enablement rules can be scoped to the whole organization, specific accounts, or specific resources based on resource tags to standardize the configuration across EC2 instances. For example, the central DevOps team can create an enablement rule to automatically turn on detailed monitoring for EC2 instances with specific tags, e.g., env:production, and ensure Auto Scaling policies respond quickly to changes in instance utilization. CloudWatch's auto-enablement capability is available in all AWS commercial regions. Detailed monitoring metrics wi...

Amazon Bedrock AgentCore Runtime now supports the AG-UI protocol - devamazonaws.blogspot.com

Amazon Bedrock AgentCore Runtime now supports the Agent-User Interaction (AG-UI) protocol, enabling developers to deploy AG-UI servers that deliver responsive, real-time agent experiences to user-facing applications. With AG-UI support, AgentCore Runtime handles authentication, session isolation, and scaling for AG-UI workloads, allowing developers to focus on building interactive frontends for their agents. AG-UI is an open, event-based protocol that standardizes how AI agents communicate with user interfaces. It complements the existing Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocol support in AgentCore Runtime. Where MCP provides agents with tools and A2A enables agent-to-agent communication, AG-UI brings agents into user-facing applications. Key capabilities include streaming text chunks, reasoning steps, and tool results to frontends as they happen; real-time state synchronization that can update UI elements such as progress bars and dashboards; structured tool ca...