AWS AppConfig integrates with New Relic for automated rollbacks

AWS AppConfig today launched a new integration that enables automated, intelligent rollbacks during feature flag and dynamic configuration deployments using New Relic Workflow Automation. Building on AWS AppConfig’s third-party alert capability, this integration provides teams using New Relic with a solution to automatically detect degraded application health and trigger rollbacks in seconds, eliminating manual intervention. When you deploy feature flags using AWS AppConfig’s gradual deployment strategy, the AWS AppConfig New Relic Extension continuously monitors your application health against configured alert conditions. If issues are detected during a feature flag update and deployment, such as increased error rates or elevated latency, the New Relic Workflow automatically sends a notification to trigger an immediate rollback, reverting the feature flag to its previous state. This closed-loop automation reduces the time between detection and remediation from minutes to seconds, minimizing customer impact during failed deployments.
 
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Amazon EC2 M8a instances now available in AWS Europe (Frankfurt) region

Starting today, the general-purpose Amazon EC2 M8a instances are available in AWS Europe (Frankfurt) region. M8a instances are powered by 5th Gen AMD EPYC processors (formerly code named Turin) with a maximum frequency of 4.5 GHz, deliver up to 30% higher performance, and up to 19% better price-performance compared to M7a instances. M8a instances deliver 45% more memory bandwidth compared to M7a instances, making these instances ideal for even latency sensitive workloads. M8a instances deliver even higher performance gains for specific workloads. M8a instances are up to 60% faster for GroovyJVM benchmark, and up to 39% faster for Cassandra benchmark compared to Amazon EC2 M7a instances. M8a instances are SAP-certified and offer 12 sizes including 2 bare metal sizes. This range of instance sizes allows customers to precisely match their workload requirements. M8a instances are built using the latest sixth generation AWS Nitro Cards and ideal for applications that benefit from high performance and high throughput such as financial applications, gaming, rendering, application servers, simulation modeling, mid-size data stores, application development environments, and caching fleets. To get started, sign in to the AWS Management Console. Customers can purchase these instances via Savings Plans, On-Demand instances, and Spot instances. For more information visit the Amazon EC2 M8a instance page.
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Announcing AWS Elemental Inference

AWS Elemental Inference, a fully managed Artificial Intelligence (AI) service that enables broadcasters and streamers to automatically generate vertical content and highlight clips for mobile and social platforms in real time, is now generally available. The service applies AI capabilities to live and on-demand video in parallel with encoding and helps companies and creators to reach audiences in any format without requiring AI expertise or dedicated production teams.
With Elemental Inference you can process video once and optimize it everywhere—creating main broadcasts while simultaneously generating vertical versions for TikTok, Instagram Reels, YouTube Shorts, Snapchat, and other mobile platforms in parallel with live video. For example, sports broadcasters can automatically generate vertical highlight clips during live games and distribute them to social platforms in real-time, capturing viral moments as they happen rather than hours later. 
The service launches with two AI features: vertical video cropping that transforms live and on-demand landscape broadcasts into mobile-optimized formats, and advanced metadata analysis that identifies key moments to generate highlight clips from live content. Using an agentic AI application that requires no prompts or human-in-the-loop intervention, broadcasters can scale content production without adding manual workflows or production staff—the system automatically adapts content for each platform. In beta testing, large media companies achieved 34% or more savings on AI-powered live video workflows compared to using multiple point solutions.
AWS Elemental Inference is available in the following AWS Regions: US East (N. Virginia), US West (Oregon), Asia Pacific (Mumbai), and Europe (Ireland).
For more information, visit the AWS News Blog or explore the AWS Elemental Inference documentation.
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AWS IAM Policy Autopilot is now available as a Kiro Power

AWS IAM Policy Autopilot, the open source static code analysis tool launched at re:Invent 2025, is now available as a Kiro power to bring policy expertise to agentic AI development. This tool helps developers quickly create baseline AWS IAM policies that can be refined as applications evolve, eliminating the need for manual IAM policy creation.
The Kiro power delivers significant benefits through one-click installation directly from the Kiro IDE and web interface, removing the need for manual MCP server configuration. This streamlined workflow enables faster policy creation and integrates seamlessly into AI-assisted development environments. Key use cases include rapid prototyping of AWS applications requiring IAM policies, baseline policy creation for new AWS projects, and enhanced productivity within IDE environments where developers can generate policies without leaving their coding workflow.
To learn more about AWS IAM Policy Autopilot and access the integration, visit the AWS IAM Policy Autopilot GitHub repository. To learn more about Kiro powers, visit the Kiro powers page. 
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AWS Elemental Media Services Now Available in Asia Pacific (Malaysia) Region

AWS Elemental Media Services are now available in the Asia Pacific (Malaysia) Region, expanding your ability to build cloud-based video workflows closer to your audiences in Southeast Asia. AWS Elemental MediaConnect, MediaLive, MediaPackage, MediaConvert, and MediaTailor form a comprehensive suite of services that enable you to ingest, transport, transcode, package, and deliver high-quality video content with lower latency and improved performance for viewers across Malaysia and the broader Southeast Asia region. With this regional expansion, broadcasters, content providers, and streaming platforms in the region can now process video workloads closer to the edge reducing latency and improving video quality for regional audiences. For example, you can use MediaLive or MediaConvert to encode live sports events or VOD assets, respectively, in Kuala Lumpur, package the streams with MediaPackage for multi-device delivery, and monetize content using MediaTailor’s server-side ad insertion, all while keeping your video processing infrastructure within the Asia Pacific (Malaysia) Region. AWS Elemental Media Services are a family of services that form the foundation of cloud-based workflows to transport, transcode, package, and deliver video. Visit the AWS region table for a full list of AWS Regions where Elemental Media Services are available. 
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Amazon announces generative AI-based artifacts in Amazon Q Developer for visualizing resource and cost data

Today, AWS announces the general availability of Amazon Q Developer artifacts in the AWS Management Console. Amazon Q artifacts is a generative AI-based user experience that enables customers to visualize resource data in tables and cost data in charts. The launch also moves the Q icon to the navigation bar and the chat panel to the left, making Amazon Q easier to access from anywhere in the AWS Management Console.
Customers can access Amazon Q artifacts by selecting the Amazon Q icon and asking questions about their AWS resources to understand the state of their resources and costs using Amazon Q artifacts. For example, on asking “List S3 buckets with tag value production”, Amazon Q displays the S3 buckets that has a tag value of production in a tabular format. Customers can then select the hyperlinks on the bucket name to view the bucket details in the S3 console. Customers can also visualize cost and billing information with charts. For example, on entering “Show me RDS costs by instance type over the last 6 months”, Q will render the response in a Q artifacts using a chart (e.g., bar graph, line chart, pie chart, or area chart). Customers can also use sample prompts in the Prompt Library in the Amazon Q chat panel to get started quickly. The artifacts are displayed in an artifact panel to the right of the Amazon Q chat panel. Users can expand Amazon Q to full-screen for a dedicated focus mode experience.
The Amazon Q Developer artifacts are available in all AWS Regions where Amazon Q Developer is available. To get started visit Amazon Q Developer documentation.
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AWS Trusted Advisor now delivers more accurate unused NAT Gateway checks powered by AWS Compute Optimizer

AWS Trusted Advisor has enhanced its detection of unused NAT Gateway checks powered by AWS Compute Optimizer detection capabilities. The enhanced detection analyzes additional CloudWatch metrics over a 32-day lookback period and verifies whether NAT Gateways are associated with route tables, reducing false positives by avoiding flagging critical backup resources. This helps cost optimization teams and DevOps engineers confidently identify and remove unused NAT Gateways that incur unnecessary charges. Each recommendation includes estimated monthly cost savings, enabling you to prioritize cleanup based on monetary impact. With these recommendations, you can run regular cost audits to catch idle NAT Gateways before charges accumulate. This simplifies cleaning up resources left behind after workload migrations or decommissions. You can view and act on these recommendations in the Trusted Advisor console alongside your other cost optimization checks, or through Trusted Advisor APIs. This feature is available in all AWS Regions where AWS Trusted Advisor is supported. Organizations must be opted-in to Cost Optimization Hub and Compute Optimizer to access these enhanced recommendations. To learn more, visit the AWS Trusted Advisor documentation.
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MediaConvert Introduces new video probe API and UI

Introducing Probe API, a powerful and free metadata analysis tool for AWS Elemental MediaConvert. Optimized for efficiency, Probe API reads header metadata to quickly return essential information about your media files, including codec specifications, pixel formats, color space details, and container information – all without waiting to process the actual video content. This analysis capability makes it an invaluable tool for content creators, developers, and media professionals who need to quickly validate files, automate workflows, or utilize Elementals’ Step Functions to make encoding decisions based on source material characteristics. For complete implementation details and usage examples, please visit the MediaConvert API Reference documentation. The Probe API can be utilized in any region where AWS Elemental MediaConvert is available, making it a versatile tool for streamlining your media workflow analysis. To get started with Probe API and explore its capabilities, visit the AWS Elemental MediaConvert product page or consult the User Guide for comprehensive documentation.
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Amazon RDS for Oracle now supports January 2026 Release Update and Spatial Patch Bundle

Amazon Relational Database Service (Amazon RDS) for Oracle now supports the Oracle January 2026 Release Update (RU) for Oracle Database versions 19c and 21c, and the corresponding Spatial Patch Bundle for Oracle Database version 19c. We recommend upgrading to the January 2026 RU as it includes security updates for Oracle database products. The Spatial Patch Bundle update delivers important fixes for Oracle Spatial and Graph functionality to provide reliable and optimal performance for spatial operations. You can apply the January 2026 RU from the Amazon RDS Management Console, or by using the AWS SDK or CLI. To automatically apply updates to your database instance during your maintenance window, enable Automatic Minor Version Upgrade. You can apply the Spatial Patch Bundle update for new database instances, or upgrade existing instances to engine version ‘19.0.0.0.ru-2026-01.spb-1.r1′ by selecting the “Spatial Patch Bundle Engine Versions” checkbox in the AWS Console. You can use AWS Organizations upgrade rollout policy to stagger automatic minor version upgrades for your Amazon RDS database instances such that automatic minor version upgrades are first applied to non-production environments, allowing you time to validate before the upgrades are applied to production environments. For additional details, refer to Amazon RDS for Oracle documentation on using AWS Organizations upgrade rollout policy for automatic minor version upgrades.
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Amazon SNS now supports sending SMS in additional AWS Regions

Customers that use Amazon Simple Notification Service (Amazon SNS) in the Asia Pacific (New Zealand) and Asia Pacific (Taipei) Regions can now send text messages (SMS) to subscribers in more than 200 countries and territories.
Amazon SNS is a fully managed pub/sub messaging service that enables message delivery to multiple endpoints including AWS Lambda, Amazon SQS, Amazon Data Firehose, mobile devices, and email. With this launch, customers using SNS in these Regions can send SMS messages via AWS End User Messaging. Amazon SNS now supports the ability to send SMS in 32 AWS Regions. More information:

To learn more about sending SMS messages with SNS, visit Mobile text messaging with Amazon SNS.
For the list of supported countries and regions, visit Supported countries and regions.

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