9/19/2025, 12:00:00 AM ~ 9/22/2025, 12:00:00 AM (UTC)
Recent Announcements
Amazon OpenSearch Ingestion now supports cross-account ingestion
Amazon OpenSearch Ingestion now supports cross-account ingestion for push-based sources such as HTTP and OpenTelemetry (OTel). With this launch, customers can easily share OpenSearch Ingestion pipelines across AWS accounts without relying on additional configurations like VPC peering or AWS Transit Gateway.\n This capability makes it simpler for organizations with multiple accounts to centralize observability and analytics workflows. For example, a central logging team can create ingestion pipelines and grant access to development teams across different accounts, enabling them to ingest logs, metrics, and traces directly into OpenSearch domains or OpenSearch Serverless collections. This reduces operational overhead and lowers the cost of sharing ingestion pipelines across accounts.
Cross-account ingestion for Amazon OpenSearch Ingestion is available today in all AWS regions where OpenSearch Ingestion is offered. Customers can get started by creating resource policies in the AWS Management Console or using the AWS CLI, and then enabling pipeline endpoints from their VPCs to ingest data seamlessly.
To learn more about this feature, see the Amazon OpenSearch Service Developer Guide and the launch blog.
Amazon RDS for MySQL announces Innovation Release 9.4 in Amazon RDS Database Preview Environment
Amazon RDS for MySQL now supports community MySQL Innovation Release 9.4 in the Amazon RDS Database Preview Environment, allowing you to evaluate the latest Innovation Release on Amazon RDS for MySQL. You can deploy MySQL 9.4 in the Amazon RDS Database Preview Environment which provides the benefits of a fully managed database, making it simpler to set up, operate, and monitor databases.\n MySQL 9.4 is the latest Innovation Release from the MySQL community. MySQL Innovation releases include bug fixes, security patches, as well as new features. MySQL Innovation releases are supported by the community until the next innovation minor, whereas MySQL Long Term Support (LTS) Releases, such as MySQL 8.0 and MySQL 8.4, are supported by the community for up to eight years. Please refer to the MySQL 9.4 release notes and Amazon RDS MySQL release notes for more details. Amazon RDS Database Preview Environment supports both Single-AZ and Multi-AZ deployments on the latest generation of instance classes. Amazon RDS Database Preview Environment database instances are retained for a maximum of 60 days and are automatically deleted after the retention period. Amazon RDS database snapshots created in the Preview Environment can only be used to create or restore database instances within the Preview Environment. Amazon RDS Database Preview Environment database instances are priced the same as production RDS instances created in the US East (Ohio) Region. For further information, see Working with the Database Preview Environment. To get started with the Preview Environment from the RDS console, navigate here.
Amazon Redshift announces the general availability of Multidimensional Data Layouts
Amazon Redshift announces the general availability of Multidimensional Data Layouts (MDDL) that dynamically sort data based on actual query filters, accelerating query performance. Unlike traditional sorting methods that sort data based on fixed columns, MDDL sorts data based on query filters (for example, Sales in US), achieving up to 10x better end-to-end performance compared to using only optimal single-column sort keys for query workloads with repetitive query filters.\n For each table with an AUTO sort key, which is the default for tables without an explicit sort key, Redshift analyzes the table’s query history and automatically selects either a single-column sort key or MDDL for your table, depending on potential performance improvements for your workload. Redshift with MDDL automatically constructs a multidimensional virtual sort key that co-locates rows typically accessed by the same queries. This virtual column, equivalent to a new sort key for the table, is subsequently used during query execution to skip data blocks and even skip scanning entire predicate columns. Redshift with MDDL provides a more expressive generalization of existing compound and interleaved sort keys that significantly improves the performance of table scans, especially when your query workload contains repetitive query filters. For pre-existing tables with manually defined sort keys, you can take advantage of MDDL by altering the sortkey of the table to AUTO. MDDL is available in all AWS commercial regions where Redshift is available. To get started, read the documentation, blog, and Amazon Science publication to learn more about benchmarks on query performance improvements.
Announcing AWS Neuron SDK 2.26.0
Today, AWS announces the general availability of Neuron SDK 2.26.0, delivering improvements for deep learning workloads on AWS Inferentia and Trainium-based instances. This release introduces support for PyTorch 2.8 and JAX 0.6.2, along with enhanced inference capabilities on Trainium2 (Trn2) instances. These updates enable developers to leverage the latest frameworks while benefiting from improved model deployment flexibility and performance optimizations.\n With Neuron SDK 2.26.0, customers can now deploy FLUX.1-dev image generation model, along with Llama 4 Scout and Maverick variants (beta) on Trn2 instances. The release introduces expert parallelism support (beta) for efficient distribution of Mixture-of-Experts (MoE) models across multiple NeuronCores, and adds new capabilities through new Neuron Kernel Interface (NKI) APIs. The updated Neuron Profiler provides improved capabilities, including system profile grouping for distributed workloads. The new SDK version is available in all AWS Regions supporting Inferentia and Trainium instances, offering enhanced performance and monitoring capabilities for machine learning workloads. To learn more and for a full list of new features and enhancements, see:
AWS Neuron 2.26.0 release notes
Trn2 Instances
Trn1 Instances
Inf2 Instances
AWS Organizations supports full IAM policy language for service control policies (SCPs)
AWS Organizations now offers full IAM policy language support for service control policies (SCPs), enabling you to write SCPs with the same flexibility as IAM managed policies. With this launch, SCPs now support use of conditions, individual resource ARNs, and the NotAction element with Allow statements. Additionally, you can now use wildcards at the beginning or middle of Action element strings and the NotResource element.\n With these policy language enhancements, you can now create more concise and precise policies to implement sophisticated permissions guardrails across your organization. For example, you can restrict access to specific resources with condition statements. The enhanced functionality maintains backward compatibility with existing SCPs, so no changes to current policies are required. This feature is now available in all AWS commercial and AWS GovCloud (US) Regions. To learn more about the enhanced SCP capabilities, see service control policies in the AWS Organizations User Guide and AWS blog.
AWS launches SiteWise MCP Server for Simplified Modeling
AWS announces Model Context Protocol (MCP) server for AWS IoT SiteWise in the AWS Labs MCP open-source repository. This MCP server simplifies industrial data modeling by providing built-in domain validation and automated modeling capabilities, eliminating the need for extensive API knowledge. The server supports existing AWS IoT SiteWise functionality through familiar tools while adding new conversational interfaces for enhanced user interaction.\n The server comes with built-in industrial knowledge and best practices, automatically applying proper units, data types, and quality indicators. This means your industrial models are production-ready from the start, saving valuable time and resources that would otherwise be spent on multiple iterations and corrections. This foundation enables you to easily implement advanced capabilities like anomaly detection and streamlined asset onboarding, while seamlessly integrating with your existing industrial systems.
Download SiteWise MCP server from AWS Labs MCP open-source repository. To get started, visit: AWS Labs MCP repository on GitHub SiteWise MCP server documentation
AWS Blogs
AWS Japan Blog (Japanese)
- New pricing plans and new agent “Auto” announced
- Implement Amazon ECR usage and security reports
- [Event Report] Focus on store operations! AI Agent Utilization Workshop for the Retail Industry
- AWS was named a leader in the 2025 Gartner Magic Quadrant for cloud-native application platforms and container management.
- AWS Weekly Roundup: Downloaded Agents Over 1 Million Times, Cloud Club Captain, AI Agent Hackathon, etc. (September 15, 2025)
AWS Cloud Financial Management
AWS Big Data Blog
- Trellix achieved 35% cost savings and enhanced security with Amazon OpenSearch Service
- Announcing cross-account ingestion for Amazon OpenSearch Service
AWS DevOps & Developer Productivity Blog
Artificial Intelligence
AWS Security Blog
- Unlock new possibilities: AWS Organizations service control policy now supports full IAM language
- Summer 2025 SOC 1 report is now available with 183 services in scope