11/4/2026, 12:00:00 AM ~ 11/5/2026, 12:00:00 AM (UTC)
Recent Announcements
Amazon Elastic Container Service (Amazon ECS) introduces json-file log driver support for Amazon ECS Managed Instances and log driver volumes for Amazon ECS Managed Daemons. Together, these features let you collect application logs with the observability agent of your choice and forward them to any destination you choose.\n With this launch, your application containers on ECS Managed Instances can write their logs as local files in standard Docker json-file format, which most observability agents read natively. Your managed daemons can directly read these files through a volume mount, without specifying host bind mount paths or requiring root privileges. As a result, one managed daemon on each instance can collect logs from every application container that uses the json-file log driver. Amazon ECS keeps each container’s logs in a dedicated directory named with the container ID and retains them until the container is removed, so your managed daemon can use native file-based log collection and trace every log back to the container that produced it. To get started, set the log driver to json-file in the logConfiguration of your application task definition. Next, register a daemon task definition that specifies a volume with logDriverVolumeConfiguration, and mount the volume into your daemon container using mountPoints. You can configure this using the AWS Management Console, AWS CLI, API, AWS SDKs or AWS CloudFormation. This feature is available in all commercial AWS Regions where Amazon ECS Managed Instances and Managed Daemons are available, at no additional cost. To learn more, refer to our documentation page and visit Amazon ECS Managed Instances.
Amazon DocumentDB (with MongoDB compatibility) is now available in the Asia Pacific (Taipei) and Asia Pacific (New Zealand) Regions, adding to the list of available Regions where you can use Amazon DocumentDB.\n Amazon DocumentDB is a fully managed, native JSON database that makes it simple and cost-effective to operate critical document workloads at virtually any scale without managing infrastructure. Amazon DocumentDB is designed to give you the scalability and durability you need when operating mission-critical MongoDB workloads. Storage scales automatically up to 128 TiB without any impact to your application. In addition, Amazon DocumentDB natively integrates with Amazon CloudWatch, AWS CloudTrail, AWS Lambda, AWS Backup, and more. Amazon DocumentDB supports millions of requests per second and can be scaled out to 15 low-latency read replicas in minutes with no application downtime.
To learn more about Amazon DocumentDB, please visit the Amazon DocumentDB product page and pricing page. You can create an Amazon DocumentDB cluster from the AWS Management Console, AWS Command Line Interface (CLI), or AWS SDKs.
Amazon RDS for Oracle now supports copying option groups during cross-Region snapshot copy
Amazon RDS for Oracle now lets you copy the option group associated with a DB snapshot when you copy that snapshot to another AWS Region.\n Amazon RDS for Oracle uses option groups to enable and configure features that make it simple to manage your databases. Option groups are specific to the AWS Region where you create them. Previously, customers wanting to replicate RDS backups that had option groups to a different AWS Region had to copy the snapshot without the option group and then recreate the option group in the target Region before restoring the snapshot. Now, you no longer need to separate the steps and can instead initiate the snapshot copy and specify the option group copy in the same request as the snapshot copy.
The existing boolean parameter CopyOptionGroup on the CopyDBSnapshot API and CLI commands now also support cross-Region copy, along with cross-account copy. You can now copy options groups to the destination snapshot in the target AWS Region from the source snapshot by setting this parameter to true.
This capability is available on Amazon RDS for Oracle in all commercial AWS Regions and the AWS GovCloud (US) Regions. To learn more, review the Amazon RDS API Documentation.
AWS announces AWS Interconnect - last mile preview with Equinix
AWS Interconnect - last mile is now available in preview with Equinix. You can connect your infrastructure across Equinix’s global network of 282 data centers worldwide to AWS in a few clicks.\n Interconnect - last mile gives you managed, private, and resilient connections to AWS, so you don’t have to order cross-connects or configure routers. To set up in the AWS Management Console, choose an AWS Region, a bandwidth speed, a Direct Connect gateway, and your Equinix Fabric One project ID. AWS generates an activation key, which you enter in the Equinix Fabric One portal to complete the setup. You can also initiate the connection from the Equinix Fabric One portal. AWS and Equinix set up quad-redundant capacity in advance, across two locations and four separate links, with BGP peering, VLANs and ASNs configured for you. Every connection is built for maximum resilience and comes with a 99.99% availability SLA. Traffic between AWS and Equinix edge devices is encrypted with MACsec by default.
During the preview, you can order 1 Gbps Interconnect - last mile connections at no charge to the US West (N. California) Region through the San Jose metro and to the US East (N. Virginia) Region through the Northern Virginia metro. When Interconnect - last mile with Equinix becomes generally available, you’ll be able to scale bandwidth from 1 Gbps to 100 Gbps in the console. You can create connections using the console, the AWS CLI, or the API. Partners can integrate using the open API package on GitHub. To learn more, see the AWS Interconnect - last mile documentation.
Amazon Connect Customer now shows associated cases in contact records
Amazon Connect Customer now includes case IDs and reference numbers in contact records, helping supervisors and analysts understand which customer issues drive contact volume. Cases track issues, such as refund requests or billing disputes, across interactions and teams. Supervisors can now identify the cases associated with an interaction directly on the Contact Details page without searching individual cases. Analysts can access the same information through the DescribeContact API and contact event streams to measure the number of interactions per case.\n Cases is available in the following AWS regions: US East (N. Virginia), US West (Oregon), Canada (Central), Europe (Frankfurt), Europe (London), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), and Africa (Cape Town). To learn more and get started, visit the Cases webpage and documentation.
Amazon EC2 and VPC now display related resources for all resource types
Amazon Elastic Compute Cloud (Amazon EC2), Amazon Virtual Private Cloud (Amazon VPC), and AWS Global View now display related resources for all resource types in their consoles. Previously, only security groups had an option to view related resources. Now you can see relationships for all EC2 and VPC resource types, including EC2 instances, Amazon Elastic Block Store (Amazon EBS) volumes, Launch Templates, Auto Scaling groups, subnets, route tables, and more. The Related Resources tab has also been moved to the console toolbar for easier access.\nThis capability helps you better understand your infrastructure dependencies and troubleshoot issues more efficiently. For example, when investigating an EC2 instance issue, you can quickly view its associated EBS volumes, security groups, subnets, and route tables without navigating between multiple console pages. Network administrators can now trace connections from a subnet to its associated route tables, network ACLs, and instances, streamlining network configuration reviews and security audits. This feature is now available in all commercial AWS Regions. To learn more, visit Amazon EC2 and Amazon VPC in the AWS Management Console.
AWS DataSync Enhanced mode supports OpenID Connect (OIDC) for Google Cloud and Microsoft Azure
AWS DataSync Enhanced mode now supports OpenID Connect (OIDC) authentication for Google Cloud Storage and Microsoft Azure Blob Storage locations. DataSync uses an AWS Identity and Access Management (IAM) role to get short-lived credentials from Google Cloud or Microsoft Entra ID and refreshes them automatically so your transfers run without interruption.\n You can now use DataSync to access your Google Cloud Storage and Azure Blob Storage without long-term credentials such as hash-based message authentication code (HMAC) keys or shared access signature (SAS) tokens. This lets you move data across clouds while complying with security policies that might prohibit long-term credentials.
You can get started by adding an IAM role to your DataSync location with the AWS CLI, API, or AWS CloudFormation. This capability is available in all AWS Regions where DataSync Enhanced mode is supported. To learn more, visit the AWS DataSync User Guide.
RHEL 10, Rocky 10 and Ubuntu 26.04 Bundles for WorkSpaces
AWS announces new Linux bundles for Amazon WorkSpaces Personal, including Rocky Linux 10, Red Hat Enterprise Linux 10, and Ubuntu 26.04 LTS. With these bundles, you can launch WorkSpaces on the latest enterprise Linux operating systems and use newer software packages that are only available in these releases. These new bundles feature modern Wayland display technology, giving you access to the latest Linux desktop capabilities. The new OS options also bring stronger security and longer support lifecycles from each distribution.\n While Rocky Linux 8 and 9, Red Hat Enterprise Linux 8 and 9, and Ubuntu 22.04 LTS and 24.04 LTS powered WorkSpaces bundles remain available, the new bundles let you adopt the latest releases on your own timeline. Your existing WorkSpaces keep running with no changes. You can move users to the new operating systems once your applications and workflows are ready.
To get started, select a managed Rocky Linux 10, Red Hat Enterprise Linux 10, or Ubuntu 26.04 LTS bundle when you create a new Linux WorkSpace. These bundles are available in Standard, Performance, Power, and PowerPro sizes in all AWS Regions where Amazon WorkSpaces is available. For a full list of supported operating systems, see Bundles and images for WorkSpaces Personal. For pricing information, visit the Amazon WorkSpaces pricing page.
New features for Amazon EC2 Capacity Manager
Amazon EC2 Capacity Manager now offers real-time supportability checks and capacity fulfillment metrics. Real-time supportability checks help customers find capacity by scoring how well each instance type and Availability Zone can support a request, without launching or reserving instances. Capacity fulfillment metrics show how much capacity was delivered against the amount requested.\n Global enterprises that run thousands of workloads across hundreds of accounts often spread each one across multiple instance types and Availability Zones, giving Amazon EC2 more options to fulfill each request. Starting today, customers can use the supportability checks in Capacity Manager to understand which Availability Zones and instance types give them the best chance of getting the capacity they need. The check returns a High, Medium, or Low score for each option, plus an overall score. Additionally, with fulfillment metrics, customers can measure fulfillment rates across their AWS organization, accounts, Regions, and tagged workloads, with a breakdown by instance type and Availability Zone, to show how well those choices are working.
Both capabilities are included with AWS Unified Operations, the AWS Support plan for global enterprises running mission-critical workloads, and are available in all commercial AWS Regions.
To learn more, read Plan and measure EC2 flexibility with Amazon EC2 Capacity Manager on the AWS Compute Blog and see the Amazon EC2 Capacity Manager user guide. To get started, visit the Capacity Manager console.
AWS Blogs
AWS Japan Blog (Japanese)
AWS News Blog
AWS Cloud Financial Management
AWS Compute Blog
- Implementing PostgreSQL logical replication between Amazon RDS for PostgreSQL instances on separate AWS Outposts
- Plan and measure EC2 flexibility with Amazon EC2 Capacity Manager
Desktop and Application Streaming
Artificial Intelligence
- Use decision models with Amazon Bedrock AgentCore Evaluations
- Smart Approvals in Amazon Quick: Human oversight where it matters
- Four layers of context engineering for production AI agents: How Deep Insight applies them in working code
- How Indegene is modernizing and scaling enterprise data quality in life sciences
- How U Mobile built agentic telco operations with Amazon Bedrock AgentCore