3/4/2026, 12:00:00 AM ~ 3/5/2026, 12:00:00 AM (UTC)

Recent Announcements

AWS simplifies IAM role creation and setup in service workflows

AWS Identity and Access Management (IAM) now makes it easier to create and configure IAM roles directly within service workflows, allowing you to customize role permissions without switching between browser tabs. Now, when you are performing console tasks that involve role configuration, a new panel will appear to set the permissions required.\n IAM roles enable secure AWS cross-service connections using temporary credentials, eliminating the need for hardcoded access keys. This launch integrates role creation capabilities with custom permissions directly into service workflows, allowing you to configure roles and permissions without navigating to the IAM console. You can use default policies or the simplified statement builder to customize your permissions, streamlining your resource setup while maintaining the full functionality of IAM role management. This feature is available when working with Amazon EC2, AWS Lambda, Amazon EKS, Amazon ECS, AWS Glue, AWS CloudFormation, AWS Database Migration Service, AWS Systems Manager, AWS Secrets Manager, Amazon Relational Database Service, and AWS IoT Core in the US East (N. Virginia) Region. The feature will gradually become available across additional AWS services and regions. To learn more, refer to individual service User Guide or IAM documentation.

Amazon Lightsail now offers OpenClaw, a private self-hosted AI assistant

Amazon Lightsail now lets you deploy OpenClaw, a private self-hosted AI assistant, on your own cloud infrastructure in a simple and secure manner.\n Every Lightsail OpenClaw instance ships with built-in security controls, pre-configured and ready to use. Sandboxing isolates each agent session for improved security posture. One-click HTTPS access puts the OpenClaw dashboard in your browser securely, without requiring manual TLS configuration. Device pairing authentication ensures only your authorized devices can connect to your assistant. Automatic snapshots back up your configuration continuously, so you never lose your setup. Amazon Bedrock serves as the default model provider for Lightsail OpenClaw, and you can swap models or connect to Slack, Telegram, WhatsApp, and Discord as per your requirements. Amazon Lightsail is available in 15 AWS Regions including US East (N. Virginia), US West (Oregon), Europe (Frankfurt), Europe (London), Asia Pacific (Tokyo), and Asia Pacific (Jakarta). To get started, visit the Lightsail console. For pricing and other details, visit the Amazon Lightsail pricing and quick start documentation pages.

Amazon OpenSearch Ingestion now supports Amazon Managed Service for Prometheus as a sink

Amazon OpenSearch Ingestion now supports Amazon Managed Service for Prometheus  as a sink, making it possible to build fully managed, end-to-end metrics ingestion pipelines without any custom forwarding infrastructure. With this launch, customers can now manage their entire metrics ingestion workflow using the same pipeline infrastructure they already use for logs and traces.\n Customers can now choose the right destination for each observability signal — sending logs and traces to Amazon OpenSearch Service for powerful full-text search, log analytics, and trace correlation, while routing metrics to Amazon Managed Service for Prometheus for time-series storage and analysis. This flexibility allows teams to build purpose-fit observability pipelines that leverage the strengths of each service without compromising on data fidelity or analytical capability. Amazon OpenSearch Ingestion’s built-in data transformation and enrichment capabilities allow customers to prepare and refine metrics before they land in Amazon Managed Service for Prometheus, improving data quality and consistency. Once metrics are in Amazon Managed Service for Prometheus, customers can query them using Prometheus Query Language to analyze trends, configure alerting rules to get notified when metrics cross defined thresholds, and visualize their data using Amazon Managed Grafana for rich, customizable views of infrastructure and application health.

The feature is supported in all regions that Amazon OpenSearch Ingestion and  is currently available. Customers can get started by using the new sink for Amazon Managed Service for Prometheus in their pipeline configuration via the AWS Management console or using the AWS CLI and start ingesting metrics into their Amazon Managed Service for Prometheus workspace.

To learn more and get started, visit the Amazon OpenSearch Ingestion documentation.

Amazon OpenSearch Ingestion now supports unified ingestion endpoint for OpenTelemetry data

Amazon OpenSearch Ingestion now supports a unified ingestion endpoint that can accept all three OpenTelemetry observability signals — logs, metrics, and traces — through a single pipeline. Previously, customers who wanted to ingest all three OpenTelemetry data types had to create and manage three separate pipelines, one for each signal type. With this launch, a single pipeline can now receive any combination of OpenTelemetry signals, simplifying pipeline architecture and reducing operational overhead.\n Customers can now build centralized observability pipelines that consolidate logs, metrics, and traces in one place, making it easier to correlate signals and gain a holistic view of application health. Teams operating at scale can reduce the number of pipelines they manage, lowering infrastructure costs and simplifying access control, monitoring, and lifecycle management. This also makes it easier to adopt OpenTelemetry incrementally as teams can begin with one signal type and add others over time without any pipeline reconfiguration. The unified ingestion endpoint for OpenTelemetry data is supported in all regions that Amazon OpenSearch Ingestion is currently available. Customers can get started by using the new unified OpenTelemetry source in their pipeline configuration via the AWS Management console or using the AWS CLI and point their OpenTelemetry clients to the new unified endpoint. To learn more and get started, visit the Amazon OpenSearch Ingestion documentation.

Amazon GameLift Servers launches DDoS Protection

We’re excited to announce Amazon GameLift Servers DDoS Protection, a new feature that helps game developers protect session-based multiplayer games that utilize Amazon GameLift Servers to help improve overall game session resiliency. DDoS Protection is designed to defend against denial-of-service (DoS) and distributed denial-of-service (DDoS) attacks, providing proactive, User Datagram Protocol (UDP)-based traffic protection–without the need for manual byte matching, and with negligible latency added.\n Amazon GameLift Servers DDoS Protection co-locates a relay network directly alongside your game servers. The relay authenticates client traffic using access tokens so that only authorized traffic reaches the server. The feature also enforces per-player traffic limits to help prevent disruptions, even from seemingly legitimate sources. Game developers can use DDoS Protection to protect against targeted disruptions to specific players or entire game sessions. Check out the Amazon GameLift Servers release notes to get started through the console or API, with sample code provided for popular game engines including Unreal Engine and native C++.

Amazon GameLift Servers DDoS Protection is available at no additional cost to Amazon GameLift Servers customers and is initially available in the following regions: US East (N. Virginia), US West (Oregon), Europe (Frankfurt), Europe (Ireland), Asia Pacific (Sydney), Asia Pacific (Tokyo), Pacific (Seoul).

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