Amazon SageMaker Unified Studio now supports cross-Region subscriptions and IAM role-based subscriptions for simple and flexible data access and governance. With cross-Region support, you can subscribe to AWS Glue tables and views, as well as Amazon Redshift tables and views published in a different AWS Region than your project. This capability helps break down data silos and enable better collaboration across your organization by allowing teams to access curated data assets from any AWS Region without manual replication.

Additionally, you can now discovery and request access to data through IAM-role based subscriptions. This allows you to request access to data without requiring a SageMaker Unified Studio project, eliminating the project intermediary layer and simplifying access to data through IAM roles.

To get started with cross-Region subscriptions, log into SageMaker Unified Studio, or use the Amazon DataZone API, SDK, or AWS CLI. IAM role-based subscriptions are available via Amazon DataZone API and SDK. These new APIs for cross-Region subscriptions and IAM role-based access are available in all AWS Regions where SageMaker Unified Studio is supported. To learn more, see the SageMaker Unified Studio user guide.

 

​Amazon SageMaker Unified Studio now supports cross-Region subscriptions and IAM role-based subscriptions for simple and flexible data access and governance. With cross-Region support, you can subscribe to AWS Glue tables and views, as well as Amazon Redshift tables and views published in a different AWS Region than your project. This capability helps break down data silos and enable better collaboration across your organization by allowing teams to access curated data assets from any AWS Region without manual replication. Additionally, you can now discovery and request access to data through IAM-role based subscriptions. This allows you to request access to data without requiring a SageMaker Unified Studio project, eliminating the project intermediary layer and simplifying access to data through IAM roles. To get started with cross-Region subscriptions, log into SageMaker Unified Studio, or use the Amazon DataZone API, SDK, or AWS CLI. IAM role-based subscriptions are available via Amazon DataZone API and SDK. These new APIs for cross-Region subscriptions and IAM role-based access are available in all AWS Regions where SageMaker Unified Studio is supported. To learn more, see the SageMaker Unified Studio user guide.  

AWS Graviton4-based R8g database instances are now generally available for Amazon Aurora (MySQL and PostgreSQL compatibility) and Amazon RDS for PostgreSQL, MySQL, and MariaDB in additional Asia Pacific regions (Hong Kong, Osaka, and Jakarta). R8G instances are now supported for Amazon Aurora with MySQL compatibility and Amazon RDS for PostgreSQL, MySQL, and MariaDB in Asia Pacific (Seoul and Singapore), and Canada (Central) regions, expanding on the previous launch of R8g support for Amazon Aurora with PostgreSQL compatibility in these three regions. Additionally, Amazon Aurora with MySQL and PostgreSQL compatibility now also supports R7i database instances in Asia Pacific (Hyderabad) and R7g database instances in Africa (Cape Town).

AWS Graviton4-based instances provide up to 40% performance improvement and up to 29% price/performance improvement for on-demand pricing over Graviton3-based instances of equivalent sizes on Amazon Aurora and Amazon RDS databases, depending on database engine, version, and workload. Built on the AWS Nitro System, the new R8g database instances introduce 24xlarge and 48xlarge sizes, delivering up to 192 vCPUs, an 8:1 ratio of memory to vCPU with the latest DDR5 memory, up to 50Gbps enhanced networking bandwidth, and up to 40Gbps of bandwidth to Amazon Elastic Block Store (Amazon EBS).

You can easily launch R8g, R7g, or R7i database instances through the Amazon RDS Management Console or by using the AWS Command Line Interface (CLI). For detailed information about specific engine versions that support these database instance types, please refer to the Aurora and RDS documentation. For complete information on pricing and regional availability, please refer to the Amazon RDS pricing page.

 

​AWS Graviton4-based R8g database instances are now generally available for Amazon Aurora (MySQL and PostgreSQL compatibility) and Amazon RDS for PostgreSQL, MySQL, and MariaDB in additional Asia Pacific regions (Hong Kong, Osaka, and Jakarta). R8G instances are now supported for Amazon Aurora with MySQL compatibility and Amazon RDS for PostgreSQL, MySQL, and MariaDB in Asia Pacific (Seoul and Singapore), and Canada (Central) regions, expanding on the previous launch of R8g support for Amazon Aurora with PostgreSQL compatibility in these three regions. Additionally, Amazon Aurora with MySQL and PostgreSQL compatibility now also supports R7i database instances in Asia Pacific (Hyderabad) and R7g database instances in Africa (Cape Town). AWS Graviton4-based instances provide up to 40% performance improvement and up to 29% price/performance improvement for on-demand pricing over Graviton3-based instances of equivalent sizes on Amazon Aurora and Amazon RDS databases, depending on database engine, version, and workload. Built on the AWS Nitro System, the new R8g database instances introduce 24xlarge and 48xlarge sizes, delivering up to 192 vCPUs, an 8:1 ratio of memory to vCPU with the latest DDR5 memory, up to 50Gbps enhanced networking bandwidth, and up to 40Gbps of bandwidth to Amazon Elastic Block Store (Amazon EBS). You can easily launch R8g, R7g, or R7i database instances through the Amazon RDS Management Console or by using the AWS Command Line Interface (CLI). For detailed information about specific engine versions that support these database instance types, please refer to the Aurora and RDS documentation. For complete information on pricing and regional availability, please refer to the Amazon RDS pricing page.  

Amazon Relational Database Service (Amazon RDS) now supports faster Blue/Green Deployments switchover, reducing your primary database, or writer node, upgrade downtime to typically five seconds or lower for single-Region configurations. Blue/Green Deployment creates a staging environment (Green) to test changes while keeping production (Blue) safe, enabling seamless switchover that requires no application endpoint changes.

Your database writer instance downtime during switchover varies based on your connection method. For single-Region configurations, applications connecting directly to the database endpoint experience typically five seconds or lower downtime, while those using the AWS Advanced JDBC Driver typically see two seconds or lower due to eliminated DNS propagation delays. You can use Amazon RDS Blue/Green Deployments for deploying changes to production, such as major version database engine upgrades, maintenance updates, and scaling instances.

Support for faster RDS Blue/Green Deployments switchover for single-Region configurations is available for Amazon Aurora and Amazon RDS database engines including PostgreSQL, MySQL, and MariaDB in all AWS regions.

In a few clicks, update your databases using RDS Blue/Green Deployments via the Amazon RDS Console or Amazon RDS CLI. Learn more about RDS Blue/Green Deployments and the supported engine versions here.

 

​Amazon Relational Database Service (Amazon RDS) now supports faster Blue/Green Deployments switchover, reducing your primary database, or writer node, upgrade downtime to typically five seconds or lower for single-Region configurations. Blue/Green Deployment creates a staging environment (Green) to test changes while keeping production (Blue) safe, enabling seamless switchover that requires no application endpoint changes. Your database writer instance downtime during switchover varies based on your connection method. For single-Region configurations, applications connecting directly to the database endpoint experience typically five seconds or lower downtime, while those using the AWS Advanced JDBC Driver typically see two seconds or lower due to eliminated DNS propagation delays. You can use Amazon RDS Blue/Green Deployments for deploying changes to production, such as major version database engine upgrades, maintenance updates, and scaling instances. Support for faster RDS Blue/Green Deployments switchover for single-Region configurations is available for Amazon Aurora and Amazon RDS database engines including PostgreSQL, MySQL, and MariaDB in all AWS regions. In a few clicks, update your databases using RDS Blue/Green Deployments via the Amazon RDS Console or Amazon RDS CLI. Learn more about RDS Blue/Green Deployments and the supported engine versions here.  

On January 20, 2026 Amazon announced quarterly security and critical updates for Amazon Corretto Long-Term Supported (LTS) versions of OpenJDK. Corretto 25.0.2, 21.0.10, 17.0.18, 11.0.30, and 8u482 are now available for download. Amazon Corretto is a no-cost, multi-platform, production-ready distribution of OpenJDK.

Click on the Corretto home page to download Corretto 25, Corretto 21, Corretto 17, Corretto 11, or Corretto 8. You can also get the updates on your Linux system by configuring a Corretto Apt, Yum, or Apk repo.

Feedback is welcomed!

 

​On January 20, 2026 Amazon announced quarterly security and critical updates for Amazon Corretto Long-Term Supported (LTS) versions of OpenJDK. Corretto 25.0.2, 21.0.10, 17.0.18, 11.0.30, and 8u482 are now available for download. Amazon Corretto is a no-cost, multi-platform, production-ready distribution of OpenJDK. Click on the Corretto home page to download Corretto 25, Corretto 21, Corretto 17, Corretto 11, or Corretto 8. You can also get the updates on your Linux system by configuring a Corretto Apt, Yum, or Apk repo. Feedback is welcomed!  

AWS IoT Device Management now offers the managed integrations feature in the Middle East (UAE) region. Organizations operating in this region can now better serve their local customers, helping them build unified Internet of Things (IoT) solutions that can easily onboard and manage diverse IoT devices through a single interface, regardless of connection type – direct, hub-based, or third-party cloud-based.

Managed integrations provides developers with a unified interface and device SDKs supporting ZigBee, Z-Wave, Matter and Wi-Fi protocols. The feature includes partner built cloud-to-cloud connectors and 80+ device data model templates based on AWS’s implementation of the Matter data model standard. These capabilities allow developers to rapidly integrate devices into end user applications, such as home security, energy management, and elderly care monitoring.

The managed integrations feature is available in Canada (Central), Europe (Ireland) and Middle East (UAE) regions. To learn more, refer to the developer guide and get started on the AWS IoT console.

 

​AWS IoT Device Management now offers the managed integrations feature in the Middle East (UAE) region. Organizations operating in this region can now better serve their local customers, helping them build unified Internet of Things (IoT) solutions that can easily onboard and manage diverse IoT devices through a single interface, regardless of connection type – direct, hub-based, or third-party cloud-based. Managed integrations provides developers with a unified interface and device SDKs supporting ZigBee, Z-Wave, Matter and Wi-Fi protocols. The feature includes partner built cloud-to-cloud connectors and 80+ device data model templates based on AWS’s implementation of the Matter data model standard. These capabilities allow developers to rapidly integrate devices into end user applications, such as home security, energy management, and elderly care monitoring. The managed integrations feature is available in Canada (Central), Europe (Ireland) and Middle East (UAE) regions. To learn more, refer to the developer guide and get started on the AWS IoT console.  

Amazon Quick Suite SPICE engine is now supporting higher scale, faster ingestion, and broader data types to power advanced analytics and AI-driven workloads. With this launch, customers can load up to 2TB of data per dataset, doubling the previous 1TB limit, when using the new data preparation experience. Despite the increased dataset size, SPICE continues to deliver strong performance, with ingestion further optimized to enable even faster data loading and refresh to reduce time to insight. We’ve also expanded SPICE’s data type support by increasing string length limits from 2K to 64K Unicode characters and extending the supported timestamp range from year 1400 back to year 0001. As Quick Suite customers bring richer, more complex, and increasingly AI-driven workloads into SPICE, these enhancements enable broader data coverage, faster data onboarding, and more powerful analytics, without compromising performance. To learn more, visit our documentation.

The new SPICE dataset size limitation is now available in Amazon Quick Sight Enterprise Editions across all supported Amazon Quick Sight regions. 

 

​Amazon Quick Suite SPICE engine is now supporting higher scale, faster ingestion, and broader data types to power advanced analytics and AI-driven workloads. With this launch, customers can load up to 2TB of data per dataset, doubling the previous 1TB limit, when using the new data preparation experience. Despite the increased dataset size, SPICE continues to deliver strong performance, with ingestion further optimized to enable even faster data loading and refresh to reduce time to insight. We’ve also expanded SPICE’s data type support by increasing string length limits from 2K to 64K Unicode characters and extending the supported timestamp range from year 1400 back to year 0001. As Quick Suite customers bring richer, more complex, and increasingly AI-driven workloads into SPICE, these enhancements enable broader data coverage, faster data onboarding, and more powerful analytics, without compromising performance. To learn more, visit our documentation. The new SPICE dataset size limitation is now available in Amazon Quick Sight Enterprise Editions across all supported Amazon Quick Sight regions.   

Amazon RDS for Oracle now supports bare metal instances with Bring Your Own License (BYOL) license for Oracle Standard Edition 2. You can use M7i, R7i, X2iedn, X2idn, X2iezn, M6i, M6id, M6in, R6i, R6id, and R6in bare metal instances at 25% lower price compared to equivalent virtualized instances.

With bare metal instances, you may be able to reduce your commercial database license and support costs by using bare metal instances since they provide full visibility into the number of CPU cores and sockets of the underlying server. Most bare metal instances have 2 sockets while db.m7i.metal-24xl and db.r7i.metal-24xl instances each have a single socket. Consult your legal or licensing partner to determine if you can use bare metal instances with Oracle Standard Edition 2 and if you can reduce license and support costs.

Bare metal instances are available with Bring Your Own License (BYOL) license for Oracle Enterprise Edition Standard Edition 2. Refer to Amazon RDS for Oracle Pricing for available instance configurations, pricing, and region availability.

 

​Amazon RDS for Oracle now supports bare metal instances with Bring Your Own License (BYOL) license for Oracle Standard Edition 2. You can use M7i, R7i, X2iedn, X2idn, X2iezn, M6i, M6id, M6in, R6i, R6id, and R6in bare metal instances at 25% lower price compared to equivalent virtualized instances. With bare metal instances, you may be able to reduce your commercial database license and support costs by using bare metal instances since they provide full visibility into the number of CPU cores and sockets of the underlying server. Most bare metal instances have 2 sockets while db.m7i.metal-24xl and db.r7i.metal-24xl instances each have a single socket. Consult your legal or licensing partner to determine if you can use bare metal instances with Oracle Standard Edition 2 and if you can reduce license and support costs. Bare metal instances are available with Bring Your Own License (BYOL) license for Oracle Enterprise Edition Standard Edition 2. Refer to Amazon RDS for Oracle Pricing for available instance configurations, pricing, and region availability.  

Today, Amazon Bedrock announces the expansion of the Reserved service tier designed for workloads requiring predictable performance and guaranteed tokens-per-minute capacity. The Reserved tier provides the ability to reserve prioritized compute capacity, keeping service levels predictable for your mission critical applications. It also includes the flexibility to allocate different input and output tokens-per-minute capacities to match the exact requirements of your workload and control cost. This is particularly valuable because many workloads have asymmetric token usage patterns. For instance, summarization tasks consume many input tokens but generate fewer output tokens, while content generation applications require less input and more output capacity. When your application needs more tokens-per-minute capacity than what you reserved , the service automatically overflows to the pay-as-you-go Standard tier, ensuring uninterrupted operations. The Reserved tier and is available today for Anthropic Claude Opus 4.5 and Claude Haiku 4.5. Customers can reserve capacity for 1 month or 3 month duration. Customers pay a fixed price per 1K tokens-per-minute and are billed monthly.

With the expansion of the Reserved service tier, Amazon Bedrock continues to provide more choice to customers, helping them develop, scale, and deploy applications and agents that improve productivity and customer experiences while balancing performance and cost requirements.

For more information about the AWS Regions where Amazon Bedrock Reserved tier is available, refer to the Documentation. To get access to the Reserved tier, please contact your AWS account team. 

 

​Today, Amazon Bedrock announces the expansion of the Reserved service tier designed for workloads requiring predictable performance and guaranteed tokens-per-minute capacity. The Reserved tier provides the ability to reserve prioritized compute capacity, keeping service levels predictable for your mission critical applications. It also includes the flexibility to allocate different input and output tokens-per-minute capacities to match the exact requirements of your workload and control cost. This is particularly valuable because many workloads have asymmetric token usage patterns. For instance, summarization tasks consume many input tokens but generate fewer output tokens, while content generation applications require less input and more output capacity. When your application needs more tokens-per-minute capacity than what you reserved , the service automatically overflows to the pay-as-you-go Standard tier, ensuring uninterrupted operations. The Reserved tier and is available today for Anthropic Claude Opus 4.5 and Claude Haiku 4.5. Customers can reserve capacity for 1 month or 3 month duration. Customers pay a fixed price per 1K tokens-per-minute and are billed monthly. With the expansion of the Reserved service tier, Amazon Bedrock continues to provide more choice to customers, helping them develop, scale, and deploy applications and agents that improve productivity and customer experiences while balancing performance and cost requirements. For more information about the AWS Regions where Amazon Bedrock Reserved tier is available, refer to the Documentation. To get access to the Reserved tier, please contact your AWS account team.   

AWS Glue is now available in the Asia Pacific (New Zealand) Region, enabling customers to build and run their ETL workloads closer to their data sources in this region.

AWS Glue is a serverless data integration service that makes it simple to discover, prepare, and combine data for analytics, machine learning, and application development. AWS Glue provides both visual and code-based interfaces to make data integration simpler so you can analyze your data and put it to use in minutes instead of months.

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

 

​AWS Glue is now available in the Asia Pacific (New Zealand) Region, enabling customers to build and run their ETL workloads closer to their data sources in this region. AWS Glue is a serverless data integration service that makes it simple to discover, prepare, and combine data for analytics, machine learning, and application development. AWS Glue provides both visual and code-based interfaces to make data integration simpler so you can analyze your data and put it to use in minutes instead of months. To learn more, visit the AWS Glue product page and our documentation. For AWS Glue Region availability, please see the AWS Region table.  

Building on our recent launch of customizable tables and pivot tables, Amazon Quick Sight now enables readers to add or remove fields, change aggregations, and modify formatting directly in dashboards—all without requiring updates from dashboard authors.

These enhanced capabilities empower readers with even greater flexibility to tailor their data views for specific analytical needs. For example, sales managers can add revenue breakdowns by product category to identify growth opportunities, while finance teams can change aggregations from sum to average to better understand spending patterns across departments.

These new customization features are now available in Amazon Quick Sight Enterprise Edition across all supported Amazon Quick Sight regions. To get started with these new customization features, see our blog post.

 

​Building on our recent launch of customizable tables and pivot tables, Amazon Quick Sight now enables readers to add or remove fields, change aggregations, and modify formatting directly in dashboards—all without requiring updates from dashboard authors. These enhanced capabilities empower readers with even greater flexibility to tailor their data views for specific analytical needs. For example, sales managers can add revenue breakdowns by product category to identify growth opportunities, while finance teams can change aggregations from sum to average to better understand spending patterns across departments. These new customization features are now available in Amazon Quick Sight Enterprise Edition across all supported Amazon Quick Sight regions. To get started with these new customization features, see our blog post.