AWS Step Functions expands its AWS SDK integrations with support for Amazon Backup Search. You can now orchestrate backup discovery and management actions directly in your workflows without writing additional integration code.

AWS Step Functions is a visual workflow service capable of orchestrating over 14,000+ API actions from over 220 AWS services to help customers build distributed applications at scale. By directly invoking AWS services or their API actions from AWS Step Functions, customers can write less code, simplify their architecture, and save costs.

In addition to the new Amazon Backup Search integration, Step Functions added support for 137 API actions across new and existing AWS services. These new actions span a wide range of AWS services, including Amazon Backup, AWS MediaConvert and Amazon Bedrock. This expansion enables you to incorporate diverse tasks such as backup operations, media analysis, and AI agent interactions into your workflows. For the full list of added services and supported API actions, visit AWS SDK service integrations.

These enhancements are now generally available in all regions where AWS Step Functions is available. Specific services and API actions are subject to the availability of the target services in the AWS Region. To learn more about AWS SDK integrations, visit the Developer Guide, or build a state machine using our AWS SDK integration tutorial.
 

 

​AWS Step Functions expands its AWS SDK integrations with support for Amazon Backup Search. You can now orchestrate backup discovery and management actions directly in your workflows without writing additional integration code. AWS Step Functions is a visual workflow service capable of orchestrating over 14,000+ API actions from over 220 AWS services to help customers build distributed applications at scale. By directly invoking AWS services or their API actions from AWS Step Functions, customers can write less code, simplify their architecture, and save costs. In addition to the new Amazon Backup Search integration, Step Functions added support for 137 API actions across new and existing AWS services. These new actions span a wide range of AWS services, including Amazon Backup, AWS MediaConvert and Amazon Bedrock. This expansion enables you to incorporate diverse tasks such as backup operations, media analysis, and AI agent interactions into your workflows. For the full list of added services and supported API actions, visit AWS SDK service integrations. These enhancements are now generally available in all regions where AWS Step Functions is available. Specific services and API actions are subject to the availability of the target services in the AWS Region. To learn more about AWS SDK integrations, visit the Developer Guide, or build a state machine using our AWS SDK integration tutorial.    

Amazon Simple Email Service (SES) announces that its Mail Manager email modernization and infrastructure features now accept incoming connections from customer-provisioned Virtual Private Clouds (VPCs) to Mail Manager Ingress Endpoints. This makes use of PrivateLink connectivity features already provided by AWS.

Since Mail Manager launched in mid-2024, VPC connectivity has become the most-requested new feature from customers. These customers operate large fleets of applications hosted inside AWS, and want to route all their outgoing and incoming mail for those applications via Mail Manager. By adding VPC support via PrivateLink, those customers can now route all their outgoing mail securely entirely within AWS to Mail Manager, using its ‘Send to Internet’ action or by delivering mail to a downstream SMTP relay, hands the message off to its first external destination. The feature is enabled after a customer has created their VPC, by creating a new ‘Network’ Ingress Endpoint type and specifying the VPC’s unique endpoint ID. Customers can also choose whether or not to use authentication to their Ingress Endpoint for connections originating via PrivateLink. All VPC-enabled Mail Manager Ingress Endpoints support dual-stack (IPv4 and IPv6) connectivity by default.

Mail Manager VPC Ingress Endpoints are available in all 17 AWS Regions where Mail Manager is launched. There is no additional fee from SES to make use of this feature, though charges from AWS for VPC and PrivateLink activity may apply. Customers can learn more about SES Mail Manager by clicking here.

 

​Amazon Simple Email Service (SES) announces that its Mail Manager email modernization and infrastructure features now accept incoming connections from customer-provisioned Virtual Private Clouds (VPCs) to Mail Manager Ingress Endpoints. This makes use of PrivateLink connectivity features already provided by AWS. Since Mail Manager launched in mid-2024, VPC connectivity has become the most-requested new feature from customers. These customers operate large fleets of applications hosted inside AWS, and want to route all their outgoing and incoming mail for those applications via Mail Manager. By adding VPC support via PrivateLink, those customers can now route all their outgoing mail securely entirely within AWS to Mail Manager, using its ‘Send to Internet’ action or by delivering mail to a downstream SMTP relay, hands the message off to its first external destination. The feature is enabled after a customer has created their VPC, by creating a new ‘Network’ Ingress Endpoint type and specifying the VPC’s unique endpoint ID. Customers can also choose whether or not to use authentication to their Ingress Endpoint for connections originating via PrivateLink. All VPC-enabled Mail Manager Ingress Endpoints support dual-stack (IPv4 and IPv6) connectivity by default. Mail Manager VPC Ingress Endpoints are available in all 17 AWS Regions where Mail Manager is launched. There is no additional fee from SES to make use of this feature, though charges from AWS for VPC and PrivateLink activity may apply. Customers can learn more about SES Mail Manager by clicking here.  

Amazon Relational Database Service (RDS) for PostgreSQL announces Amazon RDS Extended Support minor version 11.22-rds.20250220 and 12.22-rds.20250220. We recommend that you upgrade to this version to fix known security vulnerabilities and bugs in prior versions of PostgreSQL.

Amazon RDS Extended Support provides you more time, up to three years, to upgrade to a new major version to help you meet your business requirements. During Extended Support, Amazon RDS will provide critical security and bug fixes for your RDS for PostgreSQL databases after the community ends support for a major version. You can run your PostgreSQL databases on Amazon RDS with Extended Support for up to three years beyond a major version’s end of standard support date.

You can use automatic minor version upgrades to automatically upgrade your databases to more recent minor versions during scheduled maintenance windows. You can also use Amazon RDS Blue/Green deployments for RDS for PostgreSQL using physical replication for your minor version upgrades. Learn more about upgrading your database instances, including automatic minor version upgrades and Blue/Green Deployments in the Amazon RDS User Guide.

Amazon RDS for PostgreSQL makes it simple to set up, operate, and scale PostgreSQL deployments in the cloud. See Amazon RDS for PostgreSQL Pricing for pricing details and regional availability. Create or update a fully managed Amazon RDS database in the Amazon RDS Management Console.

 

​Amazon Relational Database Service (RDS) for PostgreSQL announces Amazon RDS Extended Support minor version 11.22-rds.20250220 and 12.22-rds.20250220. We recommend that you upgrade to this version to fix known security vulnerabilities and bugs in prior versions of PostgreSQL. Amazon RDS Extended Support provides you more time, up to three years, to upgrade to a new major version to help you meet your business requirements. During Extended Support, Amazon RDS will provide critical security and bug fixes for your RDS for PostgreSQL databases after the community ends support for a major version. You can run your PostgreSQL databases on Amazon RDS with Extended Support for up to three years beyond a major version’s end of standard support date. You can use automatic minor version upgrades to automatically upgrade your databases to more recent minor versions during scheduled maintenance windows. You can also use Amazon RDS Blue/Green deployments for RDS for PostgreSQL using physical replication for your minor version upgrades. Learn more about upgrading your database instances, including automatic minor version upgrades and Blue/Green Deployments in the Amazon RDS User Guide. Amazon RDS for PostgreSQL makes it simple to set up, operate, and scale PostgreSQL deployments in the cloud. See Amazon RDS for PostgreSQL Pricing for pricing details and regional availability. Create or update a fully managed Amazon RDS database in the Amazon RDS Management Console.  

Today, AWS announces the general availability of AWS Glue G.4X and G.8X workers in the
US West (N. California), Asia Pacific (Seoul), Asia Pacific (Mumbai), Europe (London),
Europe (Spain), and South America (São Paulo) AWS regions. Glue G.4X and G.8X workers enable you to run your most demanding serverless data integration workloads in these additional regions.

AWS Glue is a serverless, scalable data integration service that makes it simple to discover, prepare, move, and integrate data from multiple sources. AWS Glue G.4X and G.8X workers provide higher compute, memory, and storage resources than current Glue workers. These new types of workers help you scale and run your most demanding data integration workloads, such as memory-intensive data transforms, skewed aggregations, machine learning transforms, and entity detection checks with petabytes of data.

To learn more, visit the AWS Glue product page and our documentation. For AWS Glue region availability, please see the AWS Region table.
 

 

​Today, AWS announces the general availability of AWS Glue G.4X and G.8X workers in the US West (N. California), Asia Pacific (Seoul), Asia Pacific (Mumbai), Europe (London), Europe (Spain), and South America (São Paulo) AWS regions. Glue G.4X and G.8X workers enable you to run your most demanding serverless data integration workloads in these additional regions. AWS Glue is a serverless, scalable data integration service that makes it simple to discover, prepare, move, and integrate data from multiple sources. AWS Glue G.4X and G.8X workers provide higher compute, memory, and storage resources than current Glue workers. These new types of workers help you scale and run your most demanding data integration workloads, such as memory-intensive data transforms, skewed aggregations, machine learning transforms, and entity detection checks with petabytes of data. To learn more, visit the AWS Glue product page and our documentation. For AWS Glue region availability, please see the AWS Region table.    

Today, Amazon Web Services announced the general availability of Amazon Q Business browser extensions for Google Chrome, Mozilla Firefox, and Microsoft Edge to all Q Business subscribers. Now, all Q Business users can supercharge their browsers’ intelligence and receive context-aware, generative AI assistance directly within their web pages.

The Amazon Q Business browser extensions enhance productivity by enabling users to use Amazon Q to summarize web pages, ask questions about web content on their browser, and access their enterprise information without having to leave their web page. With the extensions, professionals can maximize their productivity, streamline the analysis of complex information, gather key insights from their company’s data sources without switching context, and get instant help creating content.

The Amazon Q Business browser extension is now available to all Amazon Q Business users in all regions where Amazon Q Business is available for $3/month. Learn how you can boost the productivity of your organization with the browser extension by visiting the Amazon Q Business product page and the browser extension documentation.
 

 

​Today, Amazon Web Services announced the general availability of Amazon Q Business browser extensions for Google Chrome, Mozilla Firefox, and Microsoft Edge to all Q Business subscribers. Now, all Q Business users can supercharge their browsers’ intelligence and receive context-aware, generative AI assistance directly within their web pages. The Amazon Q Business browser extensions enhance productivity by enabling users to use Amazon Q to summarize web pages, ask questions about web content on their browser, and access their enterprise information without having to leave their web page. With the extensions, professionals can maximize their productivity, streamline the analysis of complex information, gather key insights from their company’s data sources without switching context, and get instant help creating content. The Amazon Q Business browser extension is now available to all Amazon Q Business users in all regions where Amazon Q Business is available for $3/month. Learn how you can boost the productivity of your organization with the browser extension by visiting the Amazon Q Business product page and the browser extension documentation.    

Amazon Kendra is an AI-powered search service enabling organizations to build intelligent search experiences and retrieval augmented generation (RAG) systems to power generative AI applications. Starting today, AWS customers in Europe (Ireland) and Asia Pacific (Sydney) regions can use the GenAI Index for RAG and intelligent search. With the Kendra GenAI Index, customers get high out-of-the-box search accuracy powered by the latest information retrieval technologies and semantic models.

Kendra GenAI Index supports mobility across AWS generative AI services like Amazon Q Business, giving customers the flexibility to use their indexed content across different use cases. Customers can also integrate with other Bedrock Services like Guardrails, Prompt Flows, and Agents to build advanced generative AI applications. The GenAI Index supports connectors for 43 different data sources, enabling customers to easily ingest content from a variety of sources.

With this launch, Amazon Kendra GenAI Index is now available in the following regions: US East (N. Virginia), US West (Oregon), Europe West (Ireland), and Asia Pacific (Sydney) AWS Regions.

To learn more, see Kendra GenAI Index in the Amazon Kendra Developer Guide. For pricing, please refer to Kendra pricing page.

 

​Amazon Kendra is an AI-powered search service enabling organizations to build intelligent search experiences and retrieval augmented generation (RAG) systems to power generative AI applications. Starting today, AWS customers in Europe (Ireland) and Asia Pacific (Sydney) regions can use the GenAI Index for RAG and intelligent search. With the Kendra GenAI Index, customers get high out-of-the-box search accuracy powered by the latest information retrieval technologies and semantic models. Kendra GenAI Index supports mobility across AWS generative AI services like Amazon Q Business, giving customers the flexibility to use their indexed content across different use cases. Customers can also integrate with other Bedrock Services like Guardrails, Prompt Flows, and Agents to build advanced generative AI applications. The GenAI Index supports connectors for 43 different data sources, enabling customers to easily ingest content from a variety of sources. With this launch, Amazon Kendra GenAI Index is now available in the following regions: US East (N. Virginia), US West (Oregon), Europe West (Ireland), and Asia Pacific (Sydney) AWS Regions. To learn more, see Kendra GenAI Index in the Amazon Kendra Developer Guide. For pricing, please refer to Kendra pricing page.  

Amazon RDS for MariaDB now supports MariaDB Innovation Release 11.8 in the Amazon RDS Database Preview Environment, allowing you to evaluate the latest Innovation Release on Amazon RDS for MariaDB. You can deploy MariaDB 11.8 in the Amazon RDS Database Preview Environment that has the benefits of a fully managed database, making it simpler to set up, operate, and monitor databases.

MariaDB 11.8 is the latest Innovation Release from the MariaDB community, and includes support for vector datatype, indexing, and search capabilities. MariaDB Innovation releases are supported by the community until the next Innovation release, whereas MariaDB Long Term Maintenance Releases, such as MariaDB 10.11 and MariaDB 11.4, are supported by the community for up to five years. Please refer to the MariaDB 11.8 release notes and Amazon MariaDB user guide for more details about this release.

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 period of 60 days and are automatically deleted after the retention period. Amazon RDS database snapshots that are 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.

 

​Amazon RDS for MariaDB now supports MariaDB Innovation Release 11.8 in the Amazon RDS Database Preview Environment, allowing you to evaluate the latest Innovation Release on Amazon RDS for MariaDB. You can deploy MariaDB 11.8 in the Amazon RDS Database Preview Environment that has the benefits of a fully managed database, making it simpler to set up, operate, and monitor databases. MariaDB 11.8 is the latest Innovation Release from the MariaDB community, and includes support for vector datatype, indexing, and search capabilities. MariaDB Innovation releases are supported by the community until the next Innovation release, whereas MariaDB Long Term Maintenance Releases, such as MariaDB 10.11 and MariaDB 11.4, are supported by the community for up to five years. Please refer to the MariaDB 11.8 release notes and Amazon MariaDB user guide for more details about this release. 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 period of 60 days and are automatically deleted after the retention period. Amazon RDS database snapshots that are 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.  

AWS Elemental MediaLive Anywhere now supports SMPTE ST 2110 professional broadcast input standards on your own hardware. With this new capability, you can ingest professional IP-based video, audio, and metadata streams directly into MediaLive Anywhere nodes running on your own infrastructure, while maintaining centralized control using the AWS Management Console.

SMPTE 2110 support, which requires a 25GbE or higher network interface card, enables native IP-based signal handling throughout the workflow. By accepting SMPTE 2110 IP streams in MediaLive Anywhere, you can maintain signals in the IP domain from source to processing, eliminating the need for costly signal conversion hardware or SDI intermediary steps. You can process professional broadcast feeds where they originate, whether in broadcast facilities, production studios, or other on-premises locations, while maintaining centralized management through AWS and benefiting from pay-as-you-go pricing.

MediaLive Anywhere with SMPTE 2110 support is available wherever you deploy MediaLive Anywhere nodes on compatible hardware. The service supports the core SMPTE 2110 standards for uncompressed video (ST 2110-20), digital audio (ST 2110-30), and metadata (ST 2110-40).

To learn more about implementing SMPTE 2110 workflows with MediaLive Anywhere, visit the AWS Elemental MediaLive documentation. For information about hardware requirements and supported network interface cards, see the MediaLive Anywhere setup guide.

 

​AWS Elemental MediaLive Anywhere now supports SMPTE ST 2110 professional broadcast input standards on your own hardware. With this new capability, you can ingest professional IP-based video, audio, and metadata streams directly into MediaLive Anywhere nodes running on your own infrastructure, while maintaining centralized control using the AWS Management Console. SMPTE 2110 support, which requires a 25GbE or higher network interface card, enables native IP-based signal handling throughout the workflow. By accepting SMPTE 2110 IP streams in MediaLive Anywhere, you can maintain signals in the IP domain from source to processing, eliminating the need for costly signal conversion hardware or SDI intermediary steps. You can process professional broadcast feeds where they originate, whether in broadcast facilities, production studios, or other on-premises locations, while maintaining centralized management through AWS and benefiting from pay-as-you-go pricing. MediaLive Anywhere with SMPTE 2110 support is available wherever you deploy MediaLive Anywhere nodes on compatible hardware. The service supports the core SMPTE 2110 standards for uncompressed video (ST 2110-20), digital audio (ST 2110-30), and metadata (ST 2110-40). To learn more about implementing SMPTE 2110 workflows with MediaLive Anywhere, visit the AWS Elemental MediaLive documentation. For information about hardware requirements and supported network interface cards, see the MediaLive Anywhere setup guide.  

You can now deploy AWS IAM Identity Center in the Asia Pacific (Malaysia) AWS Region. With the addition of this AWS Region, IAM Identity Center is now available in 34 AWS Regions globally.

IAM Identity Center is the recommended service for managing workforce access to AWS applications and multiple AWS accounts. Use IAM Identity Center with your existing identity source or create a new directory, and manage workforce access to part or all of your AWS environment. With IAM Identity Center, you can manage and audit user access more easily and consistently, your workforce has single sign-on access and unified experience across AWS services, and your data owners can authorize and log data access by user. IAM Identity Center is available to you at no additional cost.

For more information about the AWS Regions where IAM Identity Center is available, see the AWS Region table.

To learn more about IAM Identity Center, visit the product detail page. To get started, see the IAM Identity Center user guide.
 

 

​You can now deploy AWS IAM Identity Center in the Asia Pacific (Malaysia) AWS Region. With the addition of this AWS Region, IAM Identity Center is now available in 34 AWS Regions globally. IAM Identity Center is the recommended service for managing workforce access to AWS applications and multiple AWS accounts. Use IAM Identity Center with your existing identity source or create a new directory, and manage workforce access to part or all of your AWS environment. With IAM Identity Center, you can manage and audit user access more easily and consistently, your workforce has single sign-on access and unified experience across AWS services, and your data owners can authorize and log data access by user. IAM Identity Center is available to you at no additional cost. For more information about the AWS Regions where IAM Identity Center is available, see the AWS Region table. To learn more about IAM Identity Center, visit the product detail page. To get started, see the IAM Identity Center user guide.    

Amazon CloudWatch Application Signals now supports creating Service Level Objectives (SLOs) using metrics from your service dependencies. You can now monitor the performance of your services’ dependencies, and proactively resolve problems through SLO goal setting, thanks to this new ability.

Using Application Signals you can create period-based or request-based SLOs that track key metrics like latency and faults for the outgoing requests from your services to their dependencies. You can see how your dependencies perform and how this impacts the reliability of your overall service. For example, if your e-commerce service relies on a payment processor, you can set an SLO to monitor latency of requests from your createOrder operation to the payment processor. If this SLO degrades, you can quickly investigate the dependency as the potential root cause before it affects your customer-facing service.

SLOs on dependencies are available in all commercial AWS Regions where CloudWatch Application Signals is available. Customers can now sign up for the new bundled pricing plan for Application Signals. To learn more, see Amazon CloudWatch pricing.

 

​Amazon CloudWatch Application Signals now supports creating Service Level Objectives (SLOs) using metrics from your service dependencies. You can now monitor the performance of your services’ dependencies, and proactively resolve problems through SLO goal setting, thanks to this new ability. Using Application Signals you can create period-based or request-based SLOs that track key metrics like latency and faults for the outgoing requests from your services to their dependencies. You can see how your dependencies perform and how this impacts the reliability of your overall service. For example, if your e-commerce service relies on a payment processor, you can set an SLO to monitor latency of requests from your createOrder operation to the payment processor. If this SLO degrades, you can quickly investigate the dependency as the potential root cause before it affects your customer-facing service. SLOs on dependencies are available in all commercial AWS Regions where CloudWatch Application Signals is available. Customers can now sign up for the new bundled pricing plan for Application Signals. To learn more, see Amazon CloudWatch pricing.