Amazon S3 Tables now support create and query table operations directly from the S3 console using Amazon Athena. With this new feature, you can now create a table, populate it with data, and query it with just a few steps in the S3 console.

To get started, enable S3 Tables integration with Amazon SageMaker Lakehouse, which allows AWS analytics services to automatically discover and access your S3 Tables data. Then, select a table bucket and select “Create table with Athena”, or select an existing table and select “Query table with Athena”.

As the first cloud object store with built-in Apache Iceberg support, S3 Tables offer the easiest way to store tabular data at scale. You can access S3 Tables with AWS analytics services through the now generally available SageMaker Lakehouse integration, as well as Apache Iceberg-compatible open source engines like Apache Spark and Apache Flink.

This support is available in all AWS Regions where S3 Tables are available. To learn more about S3 Tables, visit the product page and documentation. To learn more about the integration between S3 Tables and SageMaker Lakehouse, read the AWS News Blog.
 

 

​Amazon S3 Tables now support create and query table operations directly from the S3 console using Amazon Athena. With this new feature, you can now create a table, populate it with data, and query it with just a few steps in the S3 console. To get started, enable S3 Tables integration with Amazon SageMaker Lakehouse, which allows AWS analytics services to automatically discover and access your S3 Tables data. Then, select a table bucket and select “Create table with Athena”, or select an existing table and select “Query table with Athena”. As the first cloud object store with built-in Apache Iceberg support, S3 Tables offer the easiest way to store tabular data at scale. You can access S3 Tables with AWS analytics services through the now generally available SageMaker Lakehouse integration, as well as Apache Iceberg-compatible open source engines like Apache Spark and Apache Flink. This support is available in all AWS Regions where S3 Tables are available. To learn more about S3 Tables, visit the product page and documentation. To learn more about the integration between S3 Tables and SageMaker Lakehouse, read the AWS News Blog.    

AWS announces the general availability of one new larger sizes (48xlarge) on Amazon EC2 I8g instances in US East(N. Virginia) and US West(Oregon) regions. The new size expand the I8g portfolio supporting up to 192vCPUs, providing additional compute options to scale-up existing workloads or run larger sized applications that need additional CPU and memory. I8g instances are powered by AWS Graviton4 processors that deliver up to 60% better compute performance compared to previous generation I4g instances. I8g instances use the latest third generation AWS Nitro SSDs, local NVMe storage that deliver up to 65% better real-time storage performance per TB while offering up to 50% lower storage I/O latency and up to 60% lower storage I/O latency variability. These instances are built on the AWS Nitro System, which offloads CPU virtualization, storage, and networking functions to dedicated hardware and software enhancing the performance and security for your workloads.

I8g instances offer instance sizes up to 48xlarge, 1,536 GiB of memory, and 45 TB instance storage. They are ideal for real-time applications like relational databases, non-relational databases, streaming databases, search queries and data analytic.

To learn more, see Amazon I8g instances. To learn how to migrate your workloads to AWS Graviton-based instances, see the Getting started with Graviton. To get started, see the AWS Management Console.
 

 

​AWS announces the general availability of one new larger sizes (48xlarge) on Amazon EC2 I8g instances in US East(N. Virginia) and US West(Oregon) regions. The new size expand the I8g portfolio supporting up to 192vCPUs, providing additional compute options to scale-up existing workloads or run larger sized applications that need additional CPU and memory. I8g instances are powered by AWS Graviton4 processors that deliver up to 60% better compute performance compared to previous generation I4g instances. I8g instances use the latest third generation AWS Nitro SSDs, local NVMe storage that deliver up to 65% better real-time storage performance per TB while offering up to 50% lower storage I/O latency and up to 60% lower storage I/O latency variability. These instances are built on the AWS Nitro System, which offloads CPU virtualization, storage, and networking functions to dedicated hardware and software enhancing the performance and security for your workloads. I8g instances offer instance sizes up to 48xlarge, 1,536 GiB of memory, and 45 TB instance storage. They are ideal for real-time applications like relational databases, non-relational databases, streaming databases, search queries and data analytic. To learn more, see Amazon I8g instances. To learn how to migrate your workloads to AWS Graviton-based instances, see the Getting started with Graviton. To get started, see the AWS Management Console.    

AWS Amplify Hosting is excited to offer Skew Protection, a powerful feature that guarantees version consistency across your deployments. This feature ensures frontend requests are always routed to the correct server backend version—eliminating version skew and making deployments more reliable.

You can enable this feature at the branch level in the Amplify Console under App Settings → Branch Settings. There is no additional cost associated with this feature and it is available to all customers.

This feature is available in all 20 AWS Amplify Hosting regions: US East (Ohio), US East (N. Virginia), US West (N. California), US West (Oregon), Asia Pacific (Hong Kong), Asia Pacific (Tokyo), Asia Pacific (Osaka) Asia Pacific (Seoul), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), Canada (Central), Europe (Frankfurt), Europe (Stockholm), Europe (Milan), Europe (Ireland), Europe (London), Europe (Paris), Middle East (Bahrain) and South America (São Paulo).

To get started, check out our blog post. Or read the documentation.
 

 

​AWS Amplify Hosting is excited to offer Skew Protection, a powerful feature that guarantees version consistency across your deployments. This feature ensures frontend requests are always routed to the correct server backend version—eliminating version skew and making deployments more reliable. You can enable this feature at the branch level in the Amplify Console under App Settings → Branch Settings. There is no additional cost associated with this feature and it is available to all customers. This feature is available in all 20 AWS Amplify Hosting regions: US East (Ohio), US East (N. Virginia), US West (N. California), US West (Oregon), Asia Pacific (Hong Kong), Asia Pacific (Tokyo), Asia Pacific (Osaka) Asia Pacific (Seoul), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), Canada (Central), Europe (Frankfurt), Europe (Stockholm), Europe (Milan), Europe (Ireland), Europe (London), Europe (Paris), Middle East (Bahrain) and South America (São Paulo). To get started, check out our blog post. Or read the documentation.    

Today, Amazon Web Services (AWS) announces the availability of Amazon GuardDuty Malware Protection for Amazon S3 in AWS GovCloud (US) regions. This expansion of GuardDuty Malware Protection allows you to scan newly uploaded objects to Amazon S3 buckets for potential malware, viruses, and other suspicious uploads and take action to isolate them before they are ingested into downstream processes.

GuardDuty helps customers protect millions of Amazon S3 buckets and AWS accounts. GuardDuty Malware Protection for Amazon S3 is fully managed by AWS, alleviating the operational complexity and overhead that normally comes with managing a data-scanning pipeline, with compute infrastructure operated on your behalf. This feature also gives application owners more control over the security of their organization’s S3 buckets; they can enable GuardDuty Malware Protection for S3 even if core GuardDuty is not enabled in the account. Application owners are automatically notified of the scan results using Amazon EventBridge to build downstream workflows, such as isolation to a quarantine bucket, or define bucket policies using tags that prevent users or applications from accessing certain objects.

GuardDuty Malware Protection for Amazon S3 is available in all AWS Regions where GuardDuty is available, excluding China Regions.
 

 

​Today, Amazon Web Services (AWS) announces the availability of Amazon GuardDuty Malware Protection for Amazon S3 in AWS GovCloud (US) regions. This expansion of GuardDuty Malware Protection allows you to scan newly uploaded objects to Amazon S3 buckets for potential malware, viruses, and other suspicious uploads and take action to isolate them before they are ingested into downstream processes. GuardDuty helps customers protect millions of Amazon S3 buckets and AWS accounts. GuardDuty Malware Protection for Amazon S3 is fully managed by AWS, alleviating the operational complexity and overhead that normally comes with managing a data-scanning pipeline, with compute infrastructure operated on your behalf. This feature also gives application owners more control over the security of their organization’s S3 buckets; they can enable GuardDuty Malware Protection for S3 even if core GuardDuty is not enabled in the account. Application owners are automatically notified of the scan results using Amazon EventBridge to build downstream workflows, such as isolation to a quarantine bucket, or define bucket policies using tags that prevent users or applications from accessing certain objects. GuardDuty Malware Protection for Amazon S3 is available in all AWS Regions where GuardDuty is available, excluding China Regions.    

Amazon S3 reduces pricing for S3 object tagging by 35% in all AWS Regions to $0.0065 per 10,000 tags per month. Object tags are key-value pairs applied to S3 objects that can be created, updated, or deleted at any time during the lifetime of the object.

S3 object tags help you logically group data for a variety of reasons such as to apply IAM policies to provide fine-grained access, to specify tag-based filters to manage object lifecycle rules, and to selectively replicate data to another AWS Region. Additionally, in AWS Regions where S3 Metadata is available, you can easily capture and query custom metadata that is stored as object tags.

S3 object tags are available in all AWS Regions including the AWS China and AWS GovCloud (US) Regions. This new pricing takes effect automatically in the monthly billing cycle starting on March 1, 2025. To learn more about object tags, refer to the documentation. For more pricing details, visit the S3 pricing page.

 

​Amazon S3 reduces pricing for S3 object tagging by 35% in all AWS Regions to $0.0065 per 10,000 tags per month. Object tags are key-value pairs applied to S3 objects that can be created, updated, or deleted at any time during the lifetime of the object. S3 object tags help you logically group data for a variety of reasons such as to apply IAM policies to provide fine-grained access, to specify tag-based filters to manage object lifecycle rules, and to selectively replicate data to another AWS Region. Additionally, in AWS Regions where S3 Metadata is available, you can easily capture and query custom metadata that is stored as object tags. S3 object tags are available in all AWS Regions including the AWS China and AWS GovCloud (US) Regions. This new pricing takes effect automatically in the monthly billing cycle starting on March 1, 2025. To learn more about object tags, refer to the documentation. For more pricing details, visit the S3 pricing page.  

Customers can use regional processing profiles for Amazon Nova understanding models (Amazon Nova Lite, Amazon Nova Micro, and Amazon Nova Pro) in the Europe (Milan) and Europe (Spain) regions.

Amazon Bedrock is a fully managed service that offers a choice of high-performing large language models (LLMs) and other FMs from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, as well as Amazon via a single API. Amazon Bedrock also provides a broad set of capabilities customers need to build generative AI applications with security, privacy, and responsible AI built in. These capabilities help you build tailored applications for multiple use cases across different industries, helping organizations unlock sustained growth from generative AI while ensuring customer trust and data governance.

To get started, visit the Amazon Bedrock page and see the Amazon Bedrock documentation for more details.
 

 

​Customers can use regional processing profiles for Amazon Nova understanding models (Amazon Nova Lite, Amazon Nova Micro, and Amazon Nova Pro) in the Europe (Milan) and Europe (Spain) regions. Amazon Bedrock is a fully managed service that offers a choice of high-performing large language models (LLMs) and other FMs from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, as well as Amazon via a single API. Amazon Bedrock also provides a broad set of capabilities customers need to build generative AI applications with security, privacy, and responsible AI built in. These capabilities help you build tailored applications for multiple use cases across different industries, helping organizations unlock sustained growth from generative AI while ensuring customer trust and data governance. To get started, visit the Amazon Bedrock page and see the Amazon Bedrock documentation for more details.    

Today, we are announcing the availability of AWS Backup support for Amazon FSx for OpenZFS in 13 additional AWS Regions. AWS Backup is a policy-based, fully managed and cost-effective solution that enables you to centralize and automate data protection of AWS services (spanning compute, storage, and databases) and third-party applications. With this launch, AWS Backup customers can help improve business continuity, disaster recovery, and compliance requirements by protecting Amazon FSx for OpenZFS backups in additional Regions.

AWS Backup support for Amazon FSx for OpenZFS is added in the following Regions: Africa (Cape Town), Asia Pacific (Hyderabad, Jakarta, Osaka), Europe (Milan, Paris, Spain, Zurich), Israel (Tel Aviv), Middle East (Bahrain, UAE), South America (São Paulo), and US West (N. California).

To learn more about AWS Backup for Amazon FSx, visit the AWS Backup product page, technical documentation, and pricing page. For more information on the AWS Backup features available across AWS Regions, see AWS Backup documentation. To get started, visit the AWS Backup console.
 

 

​Today, we are announcing the availability of AWS Backup support for Amazon FSx for OpenZFS in 13 additional AWS Regions. AWS Backup is a policy-based, fully managed and cost-effective solution that enables you to centralize and automate data protection of AWS services (spanning compute, storage, and databases) and third-party applications. With this launch, AWS Backup customers can help improve business continuity, disaster recovery, and compliance requirements by protecting Amazon FSx for OpenZFS backups in additional Regions. AWS Backup support for Amazon FSx for OpenZFS is added in the following Regions: Africa (Cape Town), Asia Pacific (Hyderabad, Jakarta, Osaka), Europe (Milan, Paris, Spain, Zurich), Israel (Tel Aviv), Middle East (Bahrain, UAE), South America (São Paulo), and US West (N. California). To learn more about AWS Backup for Amazon FSx, visit the AWS Backup product page, technical documentation, and pricing page. For more information on the AWS Backup features available across AWS Regions, see AWS Backup documentation. To get started, visit the AWS Backup console.    

Today, AWS is expanding service reference information to include resources and condition keys, providing a more comprehensive view of service permissions. Service reference information streamlines automation of policy management workflows, helping you retrieve available actions across AWS services from machine-readable files. Whether you are a security administrator establishing guardrails for workloads or a developer ensuring appropriate access to applications, you can now more easily identify the available actions, resources, and condition keys for each AWS service.

You can automate the retrieval of service reference information, eliminating manual effort and ensuring your policies align with the latest service updates. You can also incorporate this service reference directly into your existing policy management tools and processes for a seamless integration. This feature is offered at no additional cost. To get started, refer to the documentation on programmatic service reference information.

 

​Today, AWS is expanding service reference information to include resources and condition keys, providing a more comprehensive view of service permissions. Service reference information streamlines automation of policy management workflows, helping you retrieve available actions across AWS services from machine-readable files. Whether you are a security administrator establishing guardrails for workloads or a developer ensuring appropriate access to applications, you can now more easily identify the available actions, resources, and condition keys for each AWS service. You can automate the retrieval of service reference information, eliminating manual effort and ensuring your policies align with the latest service updates. You can also incorporate this service reference directly into your existing policy management tools and processes for a seamless integration. This feature is offered at no additional cost. To get started, refer to the documentation on programmatic service reference information.  

Amazon Relational Database Service (RDS) for MySQL announces Amazon RDS Extended Support minor version 5.7.44-RDS.20250213. We recommend that you upgrade to this version to fix known security vulnerabilities and bugs in prior versions of MySQL. Learn more about upgrading your database instances, including minor and major version upgrades, in the Amazon RDS User Guide.

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 MySQL databases on Aurora and RDS after the community ends support for a major version. You can run your MySQL databases on Amazon RDS with Extended Support for up to three years beyond a major version’s end of standard support date. Learn more about Extended Support in the Amazon RDS User Guide and the Pricing FAQs.

Amazon RDS for MySQL makes it simple to set up, operate, and scale MySQL deployments in the cloud. See Amazon RDS for MySQL 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 MySQL announces Amazon RDS Extended Support minor version 5.7.44-RDS.20250213. We recommend that you upgrade to this version to fix known security vulnerabilities and bugs in prior versions of MySQL. Learn more about upgrading your database instances, including minor and major version upgrades, in the Amazon RDS User Guide. 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 MySQL databases on Aurora and RDS after the community ends support for a major version. You can run your MySQL databases on Amazon RDS with Extended Support for up to three years beyond a major version’s end of standard support date. Learn more about Extended Support in the Amazon RDS User Guide and the Pricing FAQs. Amazon RDS for MySQL makes it simple to set up, operate, and scale MySQL deployments in the cloud. See Amazon RDS for MySQL Pricing for pricing details and regional availability. Create or update a fully managed Amazon RDS database in the Amazon RDS Management Console.  

Amazon Route 53 Traffic Flow now offers an enhanced user interface for improved DNS traffic policy editing. Route 53 Traffic Flow is a network traffic management feature which simplifies the process of creating and maintaining DNS records in large and complex configurations by providing users with an interactive DNS policy management flow chart in their web browsers. With this release, you can more easily understand and change the way traffic is routed between users and endpoints using the new features of the visual editor.

Now, Traffic Flow introduces a clearer way to craft DNS routing policies for many endpoints and multiple routing methods by moving configurations into a new sidebar, providing an undo/redo button, and introducing a new text editor for changing JavaScript Object Notation (JSON) files right within your browser. The JSON editor also includes syntax highlighting and can be used in conjunction with a new ‘Dark Mode’ theme to show where the policy edits should be made.

The new Traffic Flow experience is available globally, except in AWS GovCloud and Amazon Web Services in China. Traffic Flow pricing information can be found here and these enhancements are offered at no additional cost. To learn more about how to use Traffic Flow, visit our documentation or see this blog post.

 

​Amazon Route 53 Traffic Flow now offers an enhanced user interface for improved DNS traffic policy editing. Route 53 Traffic Flow is a network traffic management feature which simplifies the process of creating and maintaining DNS records in large and complex configurations by providing users with an interactive DNS policy management flow chart in their web browsers. With this release, you can more easily understand and change the way traffic is routed between users and endpoints using the new features of the visual editor. Now, Traffic Flow introduces a clearer way to craft DNS routing policies for many endpoints and multiple routing methods by moving configurations into a new sidebar, providing an undo/redo button, and introducing a new text editor for changing JavaScript Object Notation (JSON) files right within your browser. The JSON editor also includes syntax highlighting and can be used in conjunction with a new ‘Dark Mode’ theme to show where the policy edits should be made. The new Traffic Flow experience is available globally, except in AWS GovCloud and Amazon Web Services in China. Traffic Flow pricing information can be found here and these enhancements are offered at no additional cost. To learn more about how to use Traffic Flow, visit our documentation or see this blog post.