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.  

With today’s launch, AWS Clean Rooms provides additional privacy-enhancing controls to support aggregation and list analysis rules using the Spark analytics engine.

Using AWS Clean Rooms Spark SQL, you and your partners can now manage how your data is used with aggregation, list, and custom analysis rules, running SQL queries with configurable resources based on your performance, scale, and cost requirements. For example, advertisers can use list analysis rules to create targeted audience segments from collective advertiser and publisher data sets without sharing the raw data used to create the segments. Similarly, publishers and their partners can run media planning and campaign measurement analyses across their data sets using aggregation rules to compile joint statistics results, protecting the underlying data of all collaborators. Additionally, you can now update an existing AWS Clean Rooms collaboration to use the Spark analytics engine instead of creating a new collaboration, making it easier to get started with AWS Clean Rooms Spark SQL.

AWS Clean Rooms Spark SQL is generally available in these AWS Regions. AWS Clean Rooms helps companies and their partners more easily analyze and collaborate on their collective datasets without revealing or copying one another’s underlying data. To learn more, visit AWS Clean Rooms.
 

 

​With today’s launch, AWS Clean Rooms provides additional privacy-enhancing controls to support aggregation and list analysis rules using the Spark analytics engine. Using AWS Clean Rooms Spark SQL, you and your partners can now manage how your data is used with aggregation, list, and custom analysis rules, running SQL queries with configurable resources based on your performance, scale, and cost requirements. For example, advertisers can use list analysis rules to create targeted audience segments from collective advertiser and publisher data sets without sharing the raw data used to create the segments. Similarly, publishers and their partners can run media planning and campaign measurement analyses across their data sets using aggregation rules to compile joint statistics results, protecting the underlying data of all collaborators. Additionally, you can now update an existing AWS Clean Rooms collaboration to use the Spark analytics engine instead of creating a new collaboration, making it easier to get started with AWS Clean Rooms Spark SQL. AWS Clean Rooms Spark SQL is generally available in these AWS Regions. AWS Clean Rooms helps companies and their partners more easily analyze and collaborate on their collective datasets without revealing or copying one another’s underlying data. To learn more, visit AWS Clean Rooms.    

Amazon Relational Database Service (RDS) Proxy is now available in the AWS GovCloud (US-West) and AWS GovCloud (US-East) Regions. RDS Proxy is a fully managed and a highly available database proxy for RDS and Amazon Aurora databases. RDS Proxy helps improve application scalability, resiliency, and security.

Many applications, including those built on modern architectures capable of horizontal scaling based on ebb and flow of active users, can open a large number of database connections or open and close connections frequently. This can stress the database’s memory and compute, leading to slower performance and limited application scalability. Amazon RDS Proxy sits between your application and database to pool and share established database connections, improving database efficiency and application scalability. In case of a failure, Amazon RDS Proxy automatically connects to a standby database instance within a region. With Amazon RDS Proxy, database credentials and access can be managed through AWS Secrets Manager and AWS Identity and Access Management (IAM), eliminating the need to embed database credentials in application code.

For information on supported database engine versions and regional availability of RDS Proxy, refer to the RDS Proxy RDS and Aurora documentation.
 

 

​Amazon Relational Database Service (RDS) Proxy is now available in the AWS GovCloud (US-West) and AWS GovCloud (US-East) Regions. RDS Proxy is a fully managed and a highly available database proxy for RDS and Amazon Aurora databases. RDS Proxy helps improve application scalability, resiliency, and security. Many applications, including those built on modern architectures capable of horizontal scaling based on ebb and flow of active users, can open a large number of database connections or open and close connections frequently. This can stress the database’s memory and compute, leading to slower performance and limited application scalability. Amazon RDS Proxy sits between your application and database to pool and share established database connections, improving database efficiency and application scalability. In case of a failure, Amazon RDS Proxy automatically connects to a standby database instance within a region. With Amazon RDS Proxy, database credentials and access can be managed through AWS Secrets Manager and AWS Identity and Access Management (IAM), eliminating the need to embed database credentials in application code. For information on supported database engine versions and regional availability of RDS Proxy, refer to the RDS Proxy RDS and Aurora documentation.    

Amazon Security Lake has achieved FedRAMP High authorization in AWS GovCloud (US) Region and FedRAMP Moderate in the US East and US West Regions. If you’re a federal agency, public sector organization, or enterprise with FedRAMP compliance requirements, you can now centralize your security data using Amazon Security Lake.

Amazon Security Lake automatically centralizes security data from AWS environments, SaaS providers, on premises, and cloud sources into a purpose-built data lake stored in your account. With Security Lake, you can get a more complete understanding of your security data across your entire organization. You can also improve the protection of your workloads, applications, and data. Security Lake has adopted the Open Cybersecurity Schema Framework (OCSF), an open standard that is part of the Linux Foundation. With OCSF support, the service normalizes and combines security data from AWS and a broad range of enterprise security data sources.

You can start with a 15-day free trial of Amazon Security Lake with a single-click in the AWS Management console. To learn more and get started, see the following resources:
 

• How to develop an Amazon Security Lake POC
• Understanding Amazon Security Lake Costs

 

​Amazon Security Lake has achieved FedRAMP High authorization in AWS GovCloud (US) Region and FedRAMP Moderate in the US East and US West Regions. If you’re a federal agency, public sector organization, or enterprise with FedRAMP compliance requirements, you can now centralize your security data using Amazon Security Lake. Amazon Security Lake automatically centralizes security data from AWS environments, SaaS providers, on premises, and cloud sources into a purpose-built data lake stored in your account. With Security Lake, you can get a more complete understanding of your security data across your entire organization. You can also improve the protection of your workloads, applications, and data. Security Lake has adopted the Open Cybersecurity Schema Framework (OCSF), an open standard that is part of the Linux Foundation. With OCSF support, the service normalizes and combines security data from AWS and a broad range of enterprise security data sources. You can start with a 15-day free trial of Amazon Security Lake with a single-click in the AWS Management console. To learn more and get started, see the following resources:  

How to develop an Amazon Security Lake POC
Understanding Amazon Security Lake Costs