1/23/2025, 12:00:00 AM ~ 1/24/2025, 12:00:00 AM (UTC)

Recent Announcements

AWS Elastic Beanstalk improves scaling and deployment speeds for Windows instance with EC2 Fast-launch

With AWS Elastic Beanstalk you can easily deploy and manage applications in AWS without worrying about the infrastructure that runs those applications. Now, Elastic Beanstalk automatically launches Windows instances with EC2 Fast Launch enabled on currently supported Windows platform versions. This new functionality helps in timely provisioning of Windows instances at scale reducing downtime and improving operational costs during deployment, saving time for development and operational teams.\n Elastic Beanstalk support for EC2 Fast Launch for Windows Instances is generally available in commercial regions where Elastic Beanstalk is available including the AWS GovCloud (US) Regions. For a complete list of regions and service offerings, see AWS Regions. For more information about Windows Fast Launch support please read documentation. To learn more about Elastic Beanstalk, visit the Elastic Beanstalk product page.

AWS Resource Groups now supports 172 more resource types

Today, AWS Resource Groups is adding support for an additional 172 resource types for tag-based Resource Groups. Customers can now use Resource Groups to group and manage resources from services such as AWS Entity Resolution, Amazon Personalize, and Amazon Q Apps.\n AWS Resource Groups enables you to model, manage and automate tasks on large numbers of AWS resources by logically grouping your resources. You can create collections of resources such as applications, projects, or workloads, and manage them on dimensions such as cost, performance, and compliance in AWS services such as myApplications, AWS Systems Manager and Amazon CloudWatch. AWS Resource Groups expanded resource type coverage is available in all AWS Regions, including the AWS GovCloud (US) Regions. You can access AWS Resource Groups through the AWS Management Console, the AWS SDK APIs, and the AWS CLI. For more information about grouping resources, see the AWS Resource Groups user guide and the list of supported resource types. To get started, visit AWS Resource Groups console.

Luma AI’s Ray2 visual AI model Amazon Bedrock

Luma AI’s new video-generating AI foundation model (FM), Ray2, is now available in Amazon Bedrock. AWS is the first and only cloud provider to offer fully managed models from Luma AI, expanding creative possibilities for developers and businesses using AWS services.\n Luma Ray2 is a large-scale video-generation model capable of creating realistic visuals with fluid, natural movement. With Luma Ray2 in Amazon Bedrock, you can generate production-ready video clips with seamless animations, ultrarealistic details, and logical event sequences with natural language prompts, removing the need for technical prompt engineering. Ray2 currently supports 5- and 9-second video generations with 540p and 720p resolution, making the model ideal for a variety of professional creative applications. Streamline the creative process from concept to execution by using Ray2 video generations for content creation, entertainment, advertising, and media use cases. Content creators can swiftly generate video clips for product promotion and storytelling. Product teams can rapidly visualize concepts and create video mockups for market testing. Production studios can create previsualizations, generate realistic backgrounds, and produce initial versions of special effects sequences.

Luma AI’s Ray2 model is now available in the US West (Oregon) AWS Region. To learn more about Ray2 and how to use it in your projects, read the AWS News Blog, visit the Luma AI in Amazon Bedrock page, the Amazon Bedrock console, or check out the Amazon Bedrock documentation.

AWS Marketplace launches automated version archiving for AMI and container products

Today, AWS Marketplace announces the availability of automated archival of old, unused product versions that are no longer available publicly for subscription (restricted). This feature is available for Amazon Machine Image (AMI), AMI with CloudFormation templates, and container products.\n With this release, AWS Marketplace is streamlining the version management experience for AWS customers and sellers. With automated version archival, any product version that has already been restricted by a seller for longer than two years will be archived. Archived versions will no longer be available to launch from AWS Marketplace for new customers; however, existing users can continue to use them through launch templates and Amazon EC2 Auto Scaling groups by specifying the AMI ID. Any archived version that has not been used to launch any new instances in the previous 13 months will be deleted. Once an archived version is deleted, it is no longer available to launch for new or existing users. Now AWS customers see only the latest versions of the products in AWS Marketplace, reducing the risk of using outdated versions. For sellers, it simplifies product management by automatically removing unused older versions. This capability is enabled for all AMI and container products, and no additional action is needed from sellers. To learn more about this feature, see the AWS Marketplace Seller Guide.

AWS Elastic Beanstalk adds default support of EC2 Launch Template when creating new environments

With AWS Elastic Beanstalk, you can easily deploy and manage applications in AWS without worrying about configuring the infrastructure that runs those applications. Now, AWS Elastic Beanstalk will support EC2 Launch Template in Elastic Beanstalk environments by default after the deprecation of EC2 Launch Configuration. With this feature, you will not need to manually set certain configuration options in any AWS accounts, as described in documentation, to direct AWS Elastic Beanstalk to use the EC2 Launch Template when creating new environments.\n Elastic Beanstalk’s support for EC2 Launch Template is generally available in commercial regions where Elastic Beanstalk is available including the AWS GovCloud (US) Regions. For a complete list of regions and service offerings, see AWS Regions.

For more information about with Launch Template support in Elastic Beanstalk please read our developer guide. To learn more about Elastic Beanstalk, visit the Elastic Beanstalk product page.

Amazon ElastiCache now supports 1-click connectivity setup between EC2 and your cache

Starting today, you can easily connect Amazon ElastiCache clusters to an Amazon Elastic Compute Cloud (Amazon EC2) instance directly from the AWS Management Console. You can also connect to your cache using AWS CloudShell to execute commands without additional setup.\n With a single click, you can establish secure connectivity between your cache and an EC2 instance, following AWS recommended best practices. ElastiCache automatically configures VPCs, security groups, and network settings, eliminating the need for manual tasks like setting up subnets and ingress/egress rules. This streamlines the process for new users and developers, enabling them to launch a cache instance and connect it to an application within minutes. You can also choose to connect to your cache from the Console using AWS CloudShell. Just click the “Connect to cache” button in the new “Connectivity and Security” tab. This will open a new AWS CloudShell session and connect to your cache using the valkey-cli tool. Once connected, you can execute common Valkey commands, including reading data (e.g. GET ) and writing data (e.g. SET ). This lets you test cache functionality directly in the console, without needing to connect to it from an EC2 instance. Learn more about setting up connectivity to a compute resource from your ElastiCache cluster in the Amazon ElastiCache user guide.

Amazon CloudWatch allows alarming on data up to 7 days old

Amazon CloudWatch now lets customers evaluate metrics data for an extended duration of up to 7 days, a 7x increase from the previous limit of 24 hours.\n This enhancement empowers customers to monitor the health of longer-running or infrequent processes, such as daily data loading jobs or day-over-day performance trends, offering deeper insights into their resources and applications. Customers now have the flexibility to leverage CloudWatch alarms for use cases like near-real-time metric tracking as well as for monitoring patterns that span multiple days. Amazon CloudWatch alarming on multi-day data is now available in all AWS Regions including the AWS GovCloud (US) Regions. To alarm on multiple days of data, create or update an alarm using the CloudWatch console or Command Line Interface (CLI), specify a period of at least 3,600 (1 hour) and the number of datapoints that you want to compare against the threshold. For more information, visit the CloudWatch alarms documentation section.

Amazon Bedrock Flows announces preview of multi-turn conversation support

Amazon Bedrock Flows enables you to link foundation models (FMs), Amazon Bedrock Prompts, Amazon Bedrock Agents, Amazon Bedrock Knowledge Bases, Amazon Bedrock Guardrails and other AWS services together to build and scale pre-defined generative AI workflows. Today, we announce preview of multi-turn conversation support for agent nodes in Flows. This feature enables dynamic, back-and-forth conversations between users and flows, similar to a natural dialogue.\n Customers who use agents to execute steps within flows have indicated that sometimes the agents don’t have all the context required to successfully complete the action. With this preview launch, an agent node can intelligently pause the flow’s execution and request user- specific information. After the user sends the requested information, the flow seamlessly resumes the execution with the additional inputs. This feature enables a more interactive and context-aware experience, because the flow can adapt its behavior based on user responses. The preview of multi-turn conversation support in Flows is now available in all regions that Flows is available. To get started, see this blog and the AWS user guide.

AWS Blogs

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AWS News Blog

AWS Architecture Blog

AWS Big Data Blog

AWS HPC Blog

AWS for Industries

AWS Machine Learning Blog

AWS for M&E Blog

AWS Security Blog

Open Source Project

AWS CLI