UltraWarm is a fully managed, warm storage tier that’s designed to deliver cost savings on the Amazon OpenSearch Service. With OpenSearch 2.17+ domains, you can now store k-NN (vector) indexes on UltraWarm storage reducing the cost of serving infrequently access k-NN indexes through warm and cold storage tiers. With UltraWarm storage, you can further cost optimize vector search workloads on the OpenSearch vector engine. To learn more, refer to the documentation .

Amazon Connect now supports nine additional languages for forecasting, capacity planning, and scheduling. New languages now supported include: Canadian French, Chinese (Simplified and Traditional), French, German, Italian, Japanese, Korean, Portuguese (Brazilian), and Spanish.

These new languages are available in all AWS Regions where Amazon Connect forecasting, capacity planning, and scheduling are available. To learn more about Amazon Connect agent scheduling, click here .
 

AWS CloudFormation Hooks now allow you to evaluate resource configurations from AWS Cloud Control API (CCAPI) create and update operations. Hooks allow you to invoke custom logic to enforce security, compliance, and governance policies on your resource configurations. CCAPI is a set of common application programming interfaces (APIs) that is designed to make it easy for developers to manage their cloud infrastructure in a consistent manner and leverage the latest AWS capabilities faster. By extending Hooks to CCAPI, customers can now inspect resource configurations prior to CCAPI create and update operations, and block or warn the operations if there is a non-compliant resource found.

Before this launch, customers would publish Hooks that would only be invoked during CloudFormation operations. Now, customers can extend their resource Hook evaluations beyond CloudFormation to CCAPI based operations. Customers with existing resource Hooks, or who are using the recently launched pre-built Lambda and Guard hooks, simply need to specify “Cloud_Control” as a target in the hooks’ configuration.

Hooks is available in all AWS Commercial Regions . The CCAPI support is available for customers who use CCAPI directly or third-party IaC tools that have CCAPI providers support.

To get started, refer to Hooks user guide and CCAPI user guide for more information. Learn the detail of this feature from this AWS DevOps Blog .
 

AWS CloudFormation now offers generative AI assistance powered by Amazon Q Developer to help troubleshoot unsuccessful CloudFormation deployments. This new capability provides easy-to-understand analysis and actionable steps to simplify the resolution of the most common resource provisioning errors encountered during CloudFormation deployments.

When creating or modifying a CloudFormation stack, CloudFormation can encounter errors in resource provisioning, such as missing required parameters for an EC2 instance or inadequate permissions. Previously, troubleshooting a failed stack operation could be a time-consuming process. After identifying the root cause of the failure, you had to search through blogs and documentation for solutions and determine the next steps, leading to longer resolution times. Now, when you review a failed stack operation in the CloudFormation Console, CloudFormation automatically highlights the likely root cause of the failure. You can click the “Diagnose with Q” button in the error alert box and Amazon Q Developer will provide a human-readable analysis of the error, helping you understand what went wrong. If you need further assistance, you can click the “Help me resolve” button to receive actionable resolution steps tailored to your specific failure scenario, helping you accelerate resolution of the error.

To get started, open the CloudFormation Console and navigate to the stack events tab for a provisioned stack. This feature is available in AWS Regions where AWS CloudFormation and Amazon Q Developer are available. Refer to the AWS Region table for service availability details. Visit our user guide to learn more about this feature.
 

Amazon CloudWatch Logs introduces field indexes and enhanced log group selection to accelerate log analysis. Now, you can index critical log attributes like requestId and transactionId to accelerate query performance and scan relevant indexed data. This means faster troubleshooting, and easier identification of trends. You can create up to 20 field indexes per log group, and once defined, all future logs matching the defined fields will remain indexed for up to 30 days. Additionally, CloudWatch Logs Insights now supports querying up to 10,000 log groups, across one or more accounts linked via cross-account observability .

Customers using field indexes, will benefit from faster query execution times while searching across vast amounts of logs. CloudWatch Logs Insights queries using “filter field = value” syntax will automatically leverage indexes, when available. When combined with enhanced log group selection, customers can now gain faster insights across a much larger set of logs in Logs Insights. Customers can select up to 10,000 log groups via either log group prefix or “All” log groups option. To further optimize query performance and costs, customers can use the new “filterIndex” command to limit queries to indexed data only.

Field indexes are available in all AWS Regions where CloudWatch Logs is available and are included as part of standard log class ingestion at no additional cost.

To get started, define index policy at account level or per log-group level within AWS console, or programmatically via API/CLI. See documentation to learn more about field indexes.
 

Today we are announcing the preview launch of Prompt Optimization in Amazon Bedrock. Prompt Optimization rewrites prompts for higher quality responses from foundational models.

Prompt engineering is the process of designing prompts to guide foundational models to generating relevant responses. These prompts need to be tailored for each specific foundational model, following best practices and guidelines for each model. Developers can now use Prompt Optimization in Amazon Bedrock to rewrite their prompts for improved performance on Claude Sonnet 3.5, Claude Sonnet, Claude Opus, Claude Haiku, Llama 3 70B, Llama 3.1 70B, Mistral Large 2 and Titan Text Premier models. Developers can easily compare the performance of optimized prompts against the original prompts without the need of any deployment. All optimized prompts are saved as part of Prompt Builder for developers to use for their generative AI applications.

Amazon Bedrock Prompt Optimization is now available in preview. Learn more here .
 

AWS Elastic Beanstalk is a service that provides the ability to deploy and manage applications in AWS without worrying about the infrastructure that runs those applications. Ruby 3.3 on AL2023 adds support for a new parser, a new pure-Ruby just-in-time compiler and several performance improvements. You can create Elastic Beanstalk environment(s) running Ruby 3.3 on AL2023 using any of the Elastic Beanstalk interfaces such as Elastic Beanstalk Console, Elastic Beanstalk CLI, and the Elastic Beanstalk API.

This platform 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 Ruby and Linux Platforms, see the Elastic Beanstalk developer guide . To learn more about Elastic Beanstalk, visit the Elastic Beanstalk product page .

Today, AWS announces an improved account linking experience for AWS Partners to create and connect their AWS Marketplace accounts with AWS Partner Central, as well as onboarding associated users. Account Linking allows Partners to seamlessly navigate between Partner Central and Marketplace Management Portal using Single Sign-On (SSO), connect Partner Central solutions to AWS Marketplace listings, link private offers to opportunities for tracking deals from pipeline to customer offers, and access AWS Marketplace insights within centralized AWS Partner Analytics Dashboard. Linking accounts also unlocks access to valuable Amazon Partner Network (APN) program benefits such as ISV Accelerate and accelerated sales cycles.

The new account linking experience introduces three major improvements to streamline the self-guided linking workflow. First, it simplifies the process to associate your AWS account with AWS Marketplace by registering your legal business name. Second, it automates the creation and bulk assignment of Identity and Access Management (IAM) roles to AWS Partner Central users, eliminating the need for manual creation in the AWS IAM console. Third, it introduces three new AWS managed policies to simplify permission management for AWS Partner Central and Marketplace access. The new policies offer fine-grained access options, ranging from full Partner Central access to personalized access to co-sell or marketplace offer management.

This new experience is available for all AWS Partners. To get started, navigate to the “Account Linking” feature on the AWS Partner Central homepage. To learn more, review the AWS Partner Central documentation .

Now available in Preview, the visual update in the AWS Management Console helps customers scan content, focus on the key information, and find what they are looking for more effectively, while preserving the familiar and consistent experience. The new, modern layout also provides easy access to contextual tools.

Customers now benefit from optimized information density that maximizes available content on screen, allowing them to see more content at a glance. Thanks to a reduced visual complexity, crisper styles and improved use of color, the experience is more intuitive, readable, and efficient. We modernized the interface, with rounder shapes and a new family of illustrations, complemented by added motion to bring moments of delight. While introducing these visual enhancements, we continue to offer a predictable experience that adheres to the highest accessibility standards.

The visual update is available in selected consoles across all AWS Regions, with the latest version of Cloudscape Design System . We will be extending the update across all services. Visit the AWS Management Console to experience the visual update.

We are excited to announce that AWS HealthOmics workflows now support the ability to reuse task results from previous runs, saving time and compute costs for customers. AWS HealthOmics is a fully managed service that empowers healthcare and life science organizations to store, query, analyze omics data to generate insights to improve health and drive scientific discoveries. With this release, customers can accelerate development of new pipelines by resuming runs from a previous point of failure or code change.

Call caching, or the ability to resume runs, enables customers to restart runs from the point where new code changes are introduced, skipping unchanged tasks that have already been computed to enable faster iterative workflow development cycles. In addition, task intermediate files are stored in a run cache, enabling advanced debugging and troubleshooting of workflow errors during development. In production workflows, call caching saves partial results from failed runs so that customers can rerun the sample from the point of failure, rather than computing successfully completed tasks again, shortening reprocessing times.

Call caching is now supported for Nextflow, WDL, and CWL workflow languages in all regions where AWS HealthOmics is available: US East (N. Virginia), US West (Oregon), Europe (Frankfurt, Ireland, London), Asia Pacific (Singapore), and Israel (Tel Aviv). To get started with call caching, see the AWS HealthOmics documentation .