9/29/2026, 12:00:00 AM ~ 9/30/2026, 12:00:00 AM (UTC)
Recent Announcements
Amazon RDS now adds full snapshot size information to the Console and API
Amazon RDS now displays the full snapshot size for RDS Snapshots. With this enhancement, customers can now retrieve full snapshot sizes programmatically through the DescribeDBSnapshots API using the new field, ‘FullSnapshotSizeInBytes’. They can also view this on the console with the ‘Full Snapshot Size’ column. \nAmazon RDS snapshots are incremental. This means that if you take multiple snapshots of a volume over time, each snapshot only stores the new or modified blocks while maintaining references to unchanged blocks from previous snapshots. The ‘FullSnapshotSizeInBytes’ field shows you the total size of all blocks that make up a snapshot, including both the blocks stored directly in that snapshot and all blocks referenced from previous snapshots. For instance, if you have a 100 GB database volume with 50 GB of data, the ‘full snapshot size’ would show 50 GB regardless of whether it’s the first snapshot or a subsequent one. Please note that this is different from the incremental snapshot size, which only refers to the size of newly changed blocks stored in that specific snapshot. Full snapshot size is available all Amazon RDS database instances in all commercial AWS Regions. You can start using it today through the Amazon RDS Management Console, the AWS Command Line Interface (CLI), or the AWS SDKs. To learn more, see the Amazon RDS User Guide.
OpenAI GPT-6.1 Sol is now generally available on Amazon Bedrock
Today, AWS announces the general availability of GPT-6.1 Sol from OpenAI on Amazon Bedrock. An upgrade to GPT-6 Sol, GPT-6.1 Sol delivers exceptionally strong performance on agentic coding, computer use, and professional work. According to OpenAI, it approaches GPT-6 Astra across demanding evaluations at roughly one-fifth of the cost, giving developers more room to build and run capable agents at scale. The Amazon Bedrock inference engine delivers the performance, security, and reliability required for production workloads.\nUse GPT-6.1 Sol to build features, debug issues, iterate on solutions, carry out multistep workflows, and investigate complex codebases. It also supports explicit prompt caching on Amazon Bedrock, making it practical for agentic workloads that reuse context across repeated requests. Established AWS controls help you secure workloads, govern access, and audit model invocation activity. You can get started in the Amazon Bedrock console or programmatically through supported Amazon Bedrock APIs. For information about supported AWS Regions, endpoints, APIs, features, inference profiles and pricing, see the Amazon Bedrock documentation. To learn more, read the blog.
Amazon Connect Customer now lets administrators store more of the reference data that drives their contact center configurations. Administrators can now use data tables to hold up to 20,000 values per table for defining configurations such as operating hours, escalation rules, AI agent prompts or queue assignments that drive contact flows. Administrators can now also export tables, edit hundreds of records, move tables between Connect Customer instances, or load reference data from external systems using tools and sources such as Excel and DynamoDB. Business teams can keep this data current themselves, adjusting their contact center configurations as conditions change without depending on technical resources.\nThis feature is available in all AWS commercial and AWS GovCloud (US-West) regions where Amazon Connect Customer is offered. To learn more, see Create and configure data tables in the Amazon Connect Administrator Guide. To learn more about Amazon Connect, visit the Amazon Connect Customer website .
Amazon WorkSpaces Applications introduces unified graphics images
Today, Amazon WorkSpaces Applications announces unified graphics images, a single image type that works across all supported graphics instance families, including G4dn, G5, G6, and G7. Previously, each graphics generation required its own dedicated image. Now customers can use one image to create and manage fleets on any supported graphics instance family.\nUnified graphics images simplify image management and make it easier to adopt newer GPU generations as they become available. When creating a fleet using the unified graphics image, the console displays all compatible instance types, so you can choose the right price and performance for your workload. Fleets built on a unified graphics image can also change instance types across supported families using the console or the UpdateFleet API, an operation previously limited to sizes within a single instance family. Unified graphics images are available in all AWS commercial and AWS GovCloud (US) Regions where Amazon WorkSpaces Applications graphics instances are supported. To get started, upgrade an existing graphics image through Managed Image Update or launch an image builder from a unified base image. To learn more, visit the Amazon WorkSpaces Applications documentation.
AWS Service Availability Updates
We’re announcing availability changes to the following AWS services and features.\nServices moving to Maintenance Services moving to maintenance will no longer be accessible to new customers starting October 29, 2026. Customers already using these services and features can continue to do so. AWS will continue to operate and support these services and features. We recommend that customers learn about the changes in the product pages and documentation. · Amazon Chime SDK SIP Media Application · Amazon WorkSpaces Secure Browser Services entering Sunset The following services are entering sunset, and we are announcing the date upon which we will end operations and support of the service. Customers using these services should click on the links below to understand the sunset timeline and begin planning migration to alternatives as recommended in the updated service web pages and documentation. · Amazon Managed Blockchain (end of support September 29, 2027) · Amazon DevOps Guru (end of support September 30, 2027) · AWS Backint Agent for SAP ASE (end of support September 29, 2027) · AWS Infrastructure Composer (standalone console end of support December 7, 2026) Services reaching End of Support The following services have reached end of support and are no longer available as of September 29, 2026. · Amazon Mechanical Turk For customers affected by these changes, we’ve prepared comprehensive migration guides, and our support teams are ready to assist with your transition. Visit the AWS Product Lifecycle Page to learn more, and subscribe to the RSS feed for future updates.
Amazon Relational Database Service (RDS) for PostgreSQL announces Amazon RDS Extended Support minor versions 13.23-rds.20260514, 12.22-rds.20260514, and 11.22-rds.20260514.\nAmazon RDS Extended Support provides up to three additional years of fixes for critical Common Vulnerabilities and Exposures (CVE) and bugs beyond a major version’s end of standard support date, giving you more time to upgrade to a new major version. You can upgrade your database using Amazon RDS Blue/Green Deployments, in-place upgrade, or restore from a snapshot. Learn more about performing version upgrades in the Amazon RDS for PostgreSQL User Guide. Amazon RDS for PostgreSQL makes it simple to set up, operate, and scale PostgreSQL deployments in the cloud. Create or update a fully managed Amazon RDS database in the Amazon RDS Management Console or by using the AWS Command Line Interface (AWS CLI).
Amazon Aurora now supports PostgreSQL 18.6, 17.11, 16.15, 15.19, 14.24
Amazon Aurora PostgreSQL-Compatible Edition now supports PostgreSQL versions 18.6, 17.11, 16.15, 15.19, and 14.24, which include bug fixes from the PostgreSQL community and Aurora-specific enhancements. We recommend upgrading to the latest minor versions to benefit from these improvements and address Common Vulnerabilities and Exposures (CVEs), as detailed in the release notes.\n Upgrade Rollout Policy to orchestrate multiple upgrades in phases, validating on lower-priority environments before upgrading your most critical ones. For more information, see Upgrading Amazon Aurora PostgreSQL DB clusters. Amazon Aurora is designed for high performance and availability at global scale with full PostgreSQL compatibility. It provides scale-to-zero serverless compute, Aurora Global Database for multi-Region resilience, Aurora I/O-Optimized for improved price performance on I/O-intensive workloads, and built-in security and continuous backups. To get started, take a look at our getting started page.
AWS Systems Manager now supports sharing documents through AWS Resource Access Manager
AWS Systems Manager now lets you share your Systems Manager Documents (SSM Documents) with an entire AWS organization or with specific organizational units (OUs) using AWS Resource Access Manager (AWS RAM). Previously, you could only share a document publicly or with a list of individual account IDs. You can now easily share a document with your organization or OUs, and Systems Manager automatically keeps that sharing up to date as accounts are added to or removed from your organization or OU, so you no longer need to track and update accounts manually.\nTo share a document, you create an AWS RAM resource share, add the SSM Documents you want to share, and select the organizations or OUs to share them with. Because sharing is managed through AWS RAM and resource-based policies, access is granted through standard AWS authorization. When you share a document with an account outside your organization, that account receives a resource share invitation and gains access only after it accepts, giving both the document owner and the consumer more control over shared access. This capability is available in the Systems Manager console, the AWS Command Line Interface (AWS CLI), and the AWS SDKs, in all AWS Regions where AWS Systems Manager is available. There is no additional charge to share documents through AWS RAM. To get started, open the Documents page in the Systems Manager console, or see the AWS Systems Manager User Guide at https://docs.aws.amazon.com/systems-manager/latest/userguide/documents-ssm-sharing.html.
AWS DataSync now supports shared VPCs
AWS DataSync now supports shared Virtual Private Clouds (VPCs). You can create DataSync agents and run transfer tasks using subnets shared across AWS accounts with AWS Resource Access Manager (RAM). It allows you to transfer data privately over a shared subnet and VPC endpoint managed in a central account, rather than one per account.\nCustomers that centralize their networking previously had to create a separate DataSync VPC endpoint in every account that connected privately through AWS PrivateLink. Each endpoint consumed IP addresses and added operational overhead to maintain across accounts. With shared VPC support, a single endpoint in the account that owns the VPC serves every account the subnet is shared with, conserving IP address space and removing the need for a per-account endpoint. This launch also helps within a single account setup. You can now use one VPC endpoint across multiple subnets, removing the earlier requirement for a matching VPC endpoint in each subnet. Shared VPC is supported for both Enhanced mode and Basic mode agent-based tasks. To get started, create a DataSync agent using the console or the CreateAgent API and specify a subnet shared with your account via AWS RAM. AWS DataSync support for Shared VPCs is available in all AWS Regions, except AWS Secret Regions, where AWS DataSync is offered. To learn more, visit the AWS DataSync feature documentation.
AWS Transfer Family now supports downloading multiple files and folders in web apps
AWS Transfer Family now lets web app users download multiple files and folders at once. End users can select any combination of files and folders and download them together in a single action. The download is delivered as a zip archive that preserves the original folder structure when unzipped.\nYou can get started by selecting files and folders in a location and choosing Download from the action menu. Previously, end users could download only one file at a time, and folders could not be downloaded at all. The web app shows the files to be downloaded and real-time progress with a success or failed status for each one. Multiple-file download is available in Google Chrome, Mozilla Firefox, and Chromium-based browsers such as Microsoft Edge. It is not currently supported in Safari, where end users can still download files one at a time. This capability is available in all AWS Regions where Transfer Family Web Apps is offered. To learn more, visit the Transfer Family web apps User Guide.
Amazon ElastiCache Serverless for Valkey now supports public endpoints
Amazon ElastiCache Serverless for Valkey now supports public endpoints, letting you connect to your cache directly from a laptop, a serverless function, or any application running outside AWS, without setting up a VPN, a bastion host, or an SSH tunnel.\nWith a public endpoint, ElastiCache Serverless gives you a fully managed cache reachable over the internet, with no VPC to configure and no infrastructure to provision, and you can create one in under a minute. Use it to rapidly prototype, connect AI coding tools and agents straight to your cache, or add caching to workloads that can’t reach a VPC. Every connection uses IAM authentication over TLS 1.3, so there’s no password to store or rotate. Connect using Valkey GLIDE 2.2 or later, which has built-in IAM support, or another Valkey client paired with the Developer Toolkit for ElastiCache, an open-source library that generates and refreshes IAM authentication tokens for you. Public endpoints for ElastiCache Serverless are available in all commercial AWS Regions and the China Regions. There is no additional charge for using public endpoints beyond standard ElastiCache Serverless pricing. To get started, create a Valkey 9.0 or later serverless cache with a public endpoint using the AWS Management Console, AWS SDK, or AWS CLI. To learn more about public endpoints, see Create a Valkey serverless cache with a public endpoint.
Amazon Route 53 Resolver DNS Firewall support for Palo Alto Networks (PANW) Advanced DNS Security is now generally available across 32 AWS Regions, allowing security teams to detect and block malicious DNS traffic directly from their VPCs using PANW Advanced DNS Security rules without deploying separate firewalls or modifying VPC configurations.\nPreviewed at AWS Summit New York City, the feature enables security administrators to enforce DNS threat protections (Command and Control, Malware, Phishing, Newly Registered Domains, etc.) from Palo Alto Networks directly using Route 53 DNS Firewall rules to inspect and block malicious DNS query traffic from Amazon VPCs and hybrid cloud (via Route 53 Resolver Endpoints). With general availability, PANW Advanced DNS Security on DNS Firewall is now supported in all AWS Regions where DNS Firewall is offered. Customers can subscribe to and enable the feature directly via the Route 53 DNS Firewall console, share licenses across organization accounts via AWS License Manager, and associate DNS Firewall rule groups containing PANW rules with VPCs using AWS Resource Access Manager, Route 53 Profiles, or AWS Firewall Manager. To learn more and get started, see Route 53 DNS Firewall documentation. To view Route 53 DNS Firewall pricing, visit Route 53 pricing page. To learn more about the AWS Marketplace listing and pricing for PANW Advanced DNS Security, see the AWS Marketplace listing.
AWS Blogs
AWS Japan Blog (Japanese)
- Ontology design for HR data integration using HR Open Standards
- Cloud Utilization in the Power Transmission and Distribution Business and the Frontiers of AI Technology - T&D Executive Roundtable Report
AWS Architecture Blog
AWS Cloud Operations Blog
- Automate RCA across ServiceNow, Dynatrace and Slack with AWS DevOps Agent
- From 2 AM alarm to answer: Security Triage with AWS DevOps Agent
AWS Big Data Blog
- Building an LLM-powered DAG failure analysis plugin for Amazon MWAA
- Announcing Spark Connect on Amazon EMR on EKS: Interactive PySpark development, anywhere
- Aurora PostgreSQL zero-ETL integration with Amazon SageMaker
AWS Compute Blog
- Implementing customer managed keys for AWS Lambda durable functions with Terraform
- Simplify AMI discovery with Amazon EC2 and SSM Parameter Store
- Frozen package management for air-gapped RHEL-family AMIs
AWS DevOps & Developer Productivity Blog
- Building a Slack-powered AI development agent with Kiro CLI and headless authentication
- Accelerating development workflows with Kiro CLI as a Pre-Commit and Git Hook Agent
AWS for Industries
The Internet of Things on AWS – Official Blog
Artificial Intelligence
- Bring near-Astra intelligence to everyday work with GPT-6.1 Sol on Amazon Bedrock
- Prompt engineering fundamentals for Amazon Quick
- Prompt engineering by Quick component: Patterns and pitfalls
- Building an AI-powered contract intelligence platform with Amazon Quick and Amazon Bedrock AgentCore
- How Condé Nast built multimodal video discovery with Amazon Bedrock