AWS Backup now supports logically air-gapped vaults as a primary backup target. You can assign a logically air-gapped vault as the primary target in backup plans, organization-wide policies, or on-demand backups. Previously, logically air-gapped vaults could only store copies of existing backups.

This capability reduces storage costs for customers who want the security and recoverability benefits of logically air-gapped vaults. Organizations wanting those benefits can now back up directly to a logically air-gapped vault without storing multiple backups.

Resource types that support full AWS Backup management back up directly to the specified air-gapped vault. For resource types without full management support, AWS Backup creates a temporary snapshot in a standard vault, copies it to the air-gapped vault, then removes the snapshot.

This feature is available in all AWS Regions that support logically air-gapped vaults. To get started, select a logically air-gapped vault as your primary backup target in the AWS Backup console, API, or CLI. For more information, visit the AWS Backup product page and documentation.

 

​AWS Backup now supports logically air-gapped vaults as a primary backup target. You can assign a logically air-gapped vault as the primary target in backup plans, organization-wide policies, or on-demand backups. Previously, logically air-gapped vaults could only store copies of existing backups.
This capability reduces storage costs for customers who want the security and recoverability benefits of logically air-gapped vaults. Organizations wanting those benefits can now back up directly to a logically air-gapped vault without storing multiple backups.
Resource types that support full AWS Backup management back up directly to the specified air-gapped vault. For resource types without full management support, AWS Backup creates a temporary snapshot in a standard vault, copies it to the air-gapped vault, then removes the snapshot.
This feature is available in all AWS Regions that support logically air-gapped vaults. To get started, select a logically air-gapped vault as your primary backup target in the AWS Backup console, API, or CLI. For more information, visit the AWS Backup product page and documentation.  

Starting today, Amazon Aurora MySQL – Compatible Edition 3 (with MySQL 8.0 compatibility) will support MySQL 8.0.43 through Aurora MySQL v3.11.

In addition to several security enhancements and bug fixes, MySQL 8.0.43 contains additional errors for group replication and introduces the mysql client “commands” option, which enables or disables most mysql client commands. For more details, refer to the Aurora MySQL 3.11 and MySQL 8.0.43 release notes. To upgrade to Aurora MySQL 3.11, you can initiate a minor version upgrade manually by modifying your DB cluster, or you can enable the “Auto minor version upgrade” option when creating or modifying a DB cluster. This release is available in all AWS regions where Aurora MySQL is available.

Amazon Aurora is designed for unparalleled high performance and availability at global scale with full MySQL and PostgreSQL compatibility. It provides built-in security, continuous backups, serverless compute, up to 15 read replicas, automated multi-Region replication, and integrations with other Amazon Web Services services. To get started with Amazon Aurora, take a look at our getting started page.

 

​Starting today, Amazon Aurora MySQL – Compatible Edition 3 (with MySQL 8.0 compatibility) will support MySQL 8.0.43 through Aurora MySQL v3.11. In addition to several security enhancements and bug fixes, MySQL 8.0.43 contains additional errors for group replication and introduces the mysql client “commands” option, which enables or disables most mysql client commands. For more details, refer to the Aurora MySQL 3.11 and MySQL 8.0.43 release notes. To upgrade to Aurora MySQL 3.11, you can initiate a minor version upgrade manually by modifying your DB cluster, or you can enable the “Auto minor version upgrade” option when creating or modifying a DB cluster. This release is available in all AWS regions where Aurora MySQL is available. Amazon Aurora is designed for unparalleled high performance and availability at global scale with full MySQL and PostgreSQL compatibility. It provides built-in security, continuous backups, serverless compute, up to 15 read replicas, automated multi-Region replication, and integrations with other Amazon Web Services services. To get started with Amazon Aurora, take a look at our getting started page.  

AWS Backup now offers cross-account management in the following AWS Regions: Asia Pacific (Taipei, Thailand, New Zealand) and Mexico (Central). This capability helps you manage and monitor backups across your AWS accounts using AWS Organizations.

With cross-account management in AWS Backup, you can deploy organization-wide backup policies using your AWS Organizations management account or delegated administrator account. This helps maintain compliance across all organizational accounts while reducing management overhead. You can also monitor backup activity across all accounts in your organization from a single management account.

For more information on the AWS Backup features available across AWS Regions, see AWS Backup documentation. To get started, visit the AWS Backup console.

 

​AWS Backup now offers cross-account management in the following AWS Regions: Asia Pacific (Taipei, Thailand, New Zealand) and Mexico (Central). This capability helps you manage and monitor backups across your AWS accounts using AWS Organizations. With cross-account management in AWS Backup, you can deploy organization-wide backup policies using your AWS Organizations management account or delegated administrator account. This helps maintain compliance across all organizational accounts while reducing management overhead. You can also monitor backup activity across all accounts in your organization from a single management account. For more information on the AWS Backup features available across AWS Regions, see AWS Backup documentation. To get started, visit the AWS Backup console.  

Amazon Relational Database Service (Amazon RDS) for MySQL now supports MySQL minor versions 8.0.44 and 8.4.7, the latest minors released by the MySQL community. We recommend upgrading to the newer minor versions to fix known security vulnerabilities in prior versions of MySQL and to benefit from bug fixes, performance improvements, and new functionality added by the MySQL community. Learn more about the enhancements in RDS for MySQL 8.0.44 and 8.4.7 in the Amazon RDS user guide.

You can leverage automatic minor version upgrades to automatically upgrade your databases to more recent minor versions during scheduled maintenance windows. You can also use Amazon RDS Managed Blue/Green deployments for safer, simpler, and faster updates to your MySQL instances. 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 MySQL makes it simple to set up, operate, and scale MySQL deployments in the cloud. Learn more about pricing details and regional availability at Amazon RDS for MySQL. Create or update a fully managed Amazon RDS for MySQL database in the Amazon RDS Management Console.

 

​Amazon Relational Database Service (Amazon RDS) for MySQL now supports MySQL minor versions 8.0.44 and 8.4.7, the latest minors released by the MySQL community. We recommend upgrading to the newer minor versions to fix known security vulnerabilities in prior versions of MySQL and to benefit from bug fixes, performance improvements, and new functionality added by the MySQL community. Learn more about the enhancements in RDS for MySQL 8.0.44 and 8.4.7 in the Amazon RDS user guide. You can leverage automatic minor version upgrades to automatically upgrade your databases to more recent minor versions during scheduled maintenance windows. You can also use Amazon RDS Managed Blue/Green deployments for safer, simpler, and faster updates to your MySQL instances. 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 MySQL makes it simple to set up, operate, and scale MySQL deployments in the cloud. Learn more about pricing details and regional availability at Amazon RDS for MySQL. Create or update a fully managed Amazon RDS for MySQL database in the Amazon RDS Management Console.  

Amazon Redshift today announces the general availability of write capability to Apache Iceberg tables, enabling users to run analytics read and write queries for append-only workloads on Apache Iceberg tables within Amazon Redshift. Amazon Redshift is a petabyte-scale, enterprise-grade cloud data warehouse service used by tens of thousands of customers. Whether your data is stored in operational data stores, data lakes, streaming engines or within your data warehouse, Amazon Redshift helps you quickly ingest, securely share data, and achieve the best performance at the best price. The Apache Iceberg open table format has been used by many customers to simplify data processing on rapidly expanding and evolving tables stored in data lakes.

Customers have been using Amazon Redshift to run queries on data lake tables in various file and table formats, achieving a wide range of scalability across data warehouse and data lake workloads. Data lake use cases continue to evolve and become increasingly sophisticated, and require capabilities like transactional consistency for record-level updates and deletes while having seamless schema and partition evolution support. With this milestone Amazon Redshift now supports SQL DDL (data definition language) operations to CREATE an Apache Iceberg table, SHOW the table definition SQL, DROP the table and perform DML (data manipulation language) operations such as INSERT. You can continue to use Amazon Redshift to read from your Apache Iceberg tables in AWS Glue Data Catalog and perform write operations on those Apache Iceberg tables while other users or applications can safely run DML operations on your tables.

Apache Iceberg support in Amazon Redshift is available in all AWS regions where Amazon Redshift is available. To get started, visit the documentation page for Amazon Redshift Management Guide.

 

​Amazon Redshift today announces the general availability of write capability to Apache Iceberg tables, enabling users to run analytics read and write queries for append-only workloads on Apache Iceberg tables within Amazon Redshift. Amazon Redshift is a petabyte-scale, enterprise-grade cloud data warehouse service used by tens of thousands of customers. Whether your data is stored in operational data stores, data lakes, streaming engines or within your data warehouse, Amazon Redshift helps you quickly ingest, securely share data, and achieve the best performance at the best price. The Apache Iceberg open table format has been used by many customers to simplify data processing on rapidly expanding and evolving tables stored in data lakes. Customers have been using Amazon Redshift to run queries on data lake tables in various file and table formats, achieving a wide range of scalability across data warehouse and data lake workloads. Data lake use cases continue to evolve and become increasingly sophisticated, and require capabilities like transactional consistency for record-level updates and deletes while having seamless schema and partition evolution support. With this milestone Amazon Redshift now supports SQL DDL (data definition language) operations to CREATE an Apache Iceberg table, SHOW the table definition SQL, DROP the table and perform DML (data manipulation language) operations such as INSERT. You can continue to use Amazon Redshift to read from your Apache Iceberg tables in AWS Glue Data Catalog and perform write operations on those Apache Iceberg tables while other users or applications can safely run DML operations on your tables. Apache Iceberg support in Amazon Redshift is available in all AWS regions where Amazon Redshift is available. To get started, visit the documentation page for Amazon Redshift Management Guide.  

Starting today, Amazon EC2 M8i and M8i-flex instances are now available in Asia Pacific (Mumbai) Region. These instances are powered by custom Intel Xeon 6 processors, available only on AWS, delivering the highest performance and fastest memory bandwidth among comparable Intel processors in the cloud. The M8i and M8i-flex instances offer up to 15% better price-performance, and 2.5x more memory bandwidth compared to previous generation Intel-based instances. They deliver up to 20% better performance than M7i and M7i-flex instances, with even higher gains for specific workloads. The M8i and M8i-flex instances are up to 30% faster for PostgreSQL databases, up to 60% faster for NGINX web applications, and up to 40% faster for AI deep learning recommendation models compared to M7i and M7i-flex instances.

M8i-flex are the easiest way to get price performance benefits for a majority of general-purpose workloads like web and application servers, microservices, small and medium data stores, virtual desktops, and enterprise applications. They offer the most common sizes, from large to 16xlarge, and are a great first choice for applications that don’t fully utilize all compute resources.

M8i instances are a great choice for all general purpose workloads, especially for workloads that need the largest instance sizes or continuous high CPU usage. The SAP-certified M8i instances offer 13 sizes including 2 bare metal sizes and the new 96xlarge size for the largest applications.

To get started, sign in to the AWS Management Console. For more information about the new instances, visit the M8i and M8i-flex page or visit the AWS News blog.

 

​Starting today, Amazon EC2 M8i and M8i-flex instances are now available in Asia Pacific (Mumbai) Region. These instances are powered by custom Intel Xeon 6 processors, available only on AWS, delivering the highest performance and fastest memory bandwidth among comparable Intel processors in the cloud. The M8i and M8i-flex instances offer up to 15% better price-performance, and 2.5x more memory bandwidth compared to previous generation Intel-based instances. They deliver up to 20% better performance than M7i and M7i-flex instances, with even higher gains for specific workloads. The M8i and M8i-flex instances are up to 30% faster for PostgreSQL databases, up to 60% faster for NGINX web applications, and up to 40% faster for AI deep learning recommendation models compared to M7i and M7i-flex instances. M8i-flex are the easiest way to get price performance benefits for a majority of general-purpose workloads like web and application servers, microservices, small and medium data stores, virtual desktops, and enterprise applications. They offer the most common sizes, from large to 16xlarge, and are a great first choice for applications that don’t fully utilize all compute resources. M8i instances are a great choice for all general purpose workloads, especially for workloads that need the largest instance sizes or continuous high CPU usage. The SAP-certified M8i instances offer 13 sizes including 2 bare metal sizes and the new 96xlarge size for the largest applications. To get started, sign in to the AWS Management Console. For more information about the new instances, visit the M8i and M8i-flex page or visit the AWS News blog.  

Starting today, Amazon EC2 High Memory U7i instances with 12TB of memory (u7i-12tb.224xlarge) are now available in the AWS Europe (Ireland) Region. U7i-12tb instances are part of AWS 7th generation and are powered by custom fourth generation Intel Xeon Scalable Processors (Sapphire Rapids). U7i-12tb instances offer 12TB of DDR5 memory, enabling customers to scale transaction processing throughput in a fast-growing data environment.

U7i-12tb instances offer 896 vCPUs, support up to 100Gbps Elastic Block Storage (EBS) for faster data loading and backups, deliver up to 100Gbps of network bandwidth, and support ENA Express. U7i instances are ideal for customers using mission-critical in-memory databases like SAP HANA, Oracle, and SQL Server..

To learn more about U7i instances, visit the High Memory instances page.

 

​Starting today, Amazon EC2 High Memory U7i instances with 12TB of memory (u7i-12tb.224xlarge) are now available in the AWS Europe (Ireland) Region. U7i-12tb instances are part of AWS 7th generation and are powered by custom fourth generation Intel Xeon Scalable Processors (Sapphire Rapids). U7i-12tb instances offer 12TB of DDR5 memory, enabling customers to scale transaction processing throughput in a fast-growing data environment. U7i-12tb instances offer 896 vCPUs, support up to 100Gbps Elastic Block Storage (EBS) for faster data loading and backups, deliver up to 100Gbps of network bandwidth, and support ENA Express. U7i instances are ideal for customers using mission-critical in-memory databases like SAP HANA, Oracle, and SQL Server.. To learn more about U7i instances, visit the High Memory instances page.  

Today, AWS announced support for Resolver query logging configurations in Amazon Route 53 Profiles, allowing you to manage Resolver query logging configuration and apply it to multiple VPCs and AWS accounts within your organization. With this enhancement, Amazon Route 53 Profiles simplifies the management of Resolver query logging by streamlining the process of associating logging configurations with VPCs, and without requiring you to manually associate them with each VPC.

Route 53 Profiles allows you to create and share Route 53 configurations (private hosted zones, DNS Firewall rule groups, Resolver rules) across multiple VPCs and AWS accounts. Previously, Resolver query logging required you to manually set it up for each VPC in every AWS account. Now, with Route 53 Profiles you can manage your Resolver query logging configurations for your VPCs and AWS accounts, using a single Profile configuration. Profiles support for Resolver query logging configurations reduces the management overhead for network security teams and simplifies compliance auditing by providing consistent DNS query logs across all accounts and VPCs.

Route 53 Profiles support for Resolver query logging is now available in the AWS Regions mentioned here. To learn more about this capability and how it can benefit your organization, visit the Amazon Route 53 documentation. You can get started by accessing the Amazon Route 53 console in your AWS Management Console or through the AWS CLI. To learn more about Route 53 Profiles pricing, see here. 

 

​Today, AWS announced support for Resolver query logging configurations in Amazon Route 53 Profiles, allowing you to manage Resolver query logging configuration and apply it to multiple VPCs and AWS accounts within your organization. With this enhancement, Amazon Route 53 Profiles simplifies the management of Resolver query logging by streamlining the process of associating logging configurations with VPCs, and without requiring you to manually associate them with each VPC. Route 53 Profiles allows you to create and share Route 53 configurations (private hosted zones, DNS Firewall rule groups, Resolver rules) across multiple VPCs and AWS accounts. Previously, Resolver query logging required you to manually set it up for each VPC in every AWS account. Now, with Route 53 Profiles you can manage your Resolver query logging configurations for your VPCs and AWS accounts, using a single Profile configuration. Profiles support for Resolver query logging configurations reduces the management overhead for network security teams and simplifies compliance auditing by providing consistent DNS query logs across all accounts and VPCs. Route 53 Profiles support for Resolver query logging is now available in the AWS Regions mentioned here. To learn more about this capability and how it can benefit your organization, visit the Amazon Route 53 documentation. You can get started by accessing the Amazon Route 53 console in your AWS Management Console or through the AWS CLI. To learn more about Route 53 Profiles pricing, see here.   

You can now designate delegated administrators for AWS Backup in 17 additional AWS Regions, enabling assigned users in member accounts to perform most administrative tasks.

Delegated administrators are now supported in Africa (Cape Town), Asia Pacific (Hong Kong, Hyderabad, Jakarta, Malaysia, Melbourne, New Zealand, Taipei, Thailand), Canada West (Calgary), Europe (Milan, Spain, Zurich), Israel (Tel Aviv), Mexico (Central), and Middle East (Bahrain, UAE). Delegated administration enables organizations to designate a central AWS account to manage backup operations across multiple member accounts, streamlining governance and reducing administrative overhead. Additionally, you can now use AWS Backup Audit Manager cross-Region and cross-account delegated administrator functionality in these Regions, empowering delegated administrators to create audit reports for jobs and compliance for backup plans that span these Regions.

For more information on the AWS Backup features available across AWS Regions, see AWS Backup documentation. To get started, visit the AWS Backup console.

 

​You can now designate delegated administrators for AWS Backup in 17 additional AWS Regions, enabling assigned users in member accounts to perform most administrative tasks.
Delegated administrators are now supported in Africa (Cape Town), Asia Pacific (Hong Kong, Hyderabad, Jakarta, Malaysia, Melbourne, New Zealand, Taipei, Thailand), Canada West (Calgary), Europe (Milan, Spain, Zurich), Israel (Tel Aviv), Mexico (Central), and Middle East (Bahrain, UAE). Delegated administration enables organizations to designate a central AWS account to manage backup operations across multiple member accounts, streamlining governance and reducing administrative overhead. Additionally, you can now use AWS Backup Audit Manager cross-Region and cross-account delegated administrator functionality in these Regions, empowering delegated administrators to create audit reports for jobs and compliance for backup plans that span these Regions.
For more information on the AWS Backup features available across AWS Regions, see AWS Backup documentation. To get started, visit the AWS Backup console.  

AWS Marketplace now displays estimated tax information and the invoicing entity to buyers at the time of purchase. This new capability helps customers understand the total cost of their AWS Marketplace purchases before completing transactions, providing enhanced transparency for procurement approvals and budgeting.

When reviewing offers in AWS Marketplace, customers can now see estimated tax amounts, tax rates, and the invoicing entity based on their current tax and address settings in the AWS Billing console. This information appears at the time of procurement and can be downloaded as a PDF, allowing buyers to request approval for the correct spend amount and issue purchase orders to the appropriate invoicing entity. The estimated tax display includes the tax type (such as Value Added Tax, Goods and Services Tax, or US sales tax), estimated tax amount for upfront charges, and tax rate information. This visibility helps finance teams accurately budget and avoid unexpected costs that can impact procurement workflows and payment processing.

This capability is available today in all AWS Regions where AWS Marketplace is supported.

For information on managing your tax settings, refer to the AWS Billing Documentation. To learn more about tax handling in AWS Marketplace, visit this page.

 

​AWS Marketplace now displays estimated tax information and the invoicing entity to buyers at the time of purchase. This new capability helps customers understand the total cost of their AWS Marketplace purchases before completing transactions, providing enhanced transparency for procurement approvals and budgeting. When reviewing offers in AWS Marketplace, customers can now see estimated tax amounts, tax rates, and the invoicing entity based on their current tax and address settings in the AWS Billing console. This information appears at the time of procurement and can be downloaded as a PDF, allowing buyers to request approval for the correct spend amount and issue purchase orders to the appropriate invoicing entity. The estimated tax display includes the tax type (such as Value Added Tax, Goods and Services Tax, or US sales tax), estimated tax amount for upfront charges, and tax rate information. This visibility helps finance teams accurately budget and avoid unexpected costs that can impact procurement workflows and payment processing. This capability is available today in all AWS Regions where AWS Marketplace is supported. For information on managing your tax settings, refer to the AWS Billing Documentation. To learn more about tax handling in AWS Marketplace, visit this page.