Amazon Relational Database Service (Amazon RDS) for MySQL now supports MySQL minor versions 8.0.41 and 8.4.4. We recommend that you upgrade to the latest minor versions to fix known security vulnerabilities in prior versions of MySQL, and to benefit from the bug fixes, performance improvements, and new functionality added by the MySQL community. Learn more about the enhancements in RDS for MySQL 8.0.41 and 8.4.4 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 leverage 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 8.0.41 and 8.4.4. We recommend that you upgrade to the latest minor versions to fix known security vulnerabilities in prior versions of MySQL, and to benefit from the bug fixes, performance improvements, and new functionality added by the MySQL community. Learn more about the enhancements in RDS for MySQL 8.0.41 and 8.4.4 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 leverage 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.    

Starting today, the memory-optimized Amazon EC2 R6a instances are now available in Canada (Central) region. R6a instances are powered by third-generation AMD EPYC processors, and deliver up to 35% better price performance than comparable R5a instances. These instances offer 10% lower cost than comparable x86-based EC2 instances.

With this additional region, R6a instances are available in the following AWS Regions: US East (Northern Virginia, Ohio), US West (Oregon, N. California), Asia Pacific (Mumbai, Hyderabad, Singapore, Sydney, Tokyo), Canada (Central), and Europe (Frankfurt, Ireland). These instances can be purchased as Savings Plans, Reserved, On-Demand, and Spot instances. To get started, visit the AWS Management Console, AWS Command Line Interface (CLI), and AWS SDKs. To learn more, visit the R6a instances pages.

 

​Starting today, the memory-optimized Amazon EC2 R6a instances are now available in Canada (Central) region. R6a instances are powered by third-generation AMD EPYC processors, and deliver up to 35% better price performance than comparable R5a instances. These instances offer 10% lower cost than comparable x86-based EC2 instances. With this additional region, R6a instances are available in the following AWS Regions: US East (Northern Virginia, Ohio), US West (Oregon, N. California), Asia Pacific (Mumbai, Hyderabad, Singapore, Sydney, Tokyo), Canada (Central), and Europe (Frankfurt, Ireland). These instances can be purchased as Savings Plans, Reserved, On-Demand, and Spot instances. To get started, visit the AWS Management Console, AWS Command Line Interface (CLI), and AWS SDKs. To learn more, visit the R6a instances pages.  

Amazon Timestream for InfluxDB now supports Read Replicas, enabling customers to scale their read operations across multiple instances and Availability Zones. Customers can activate a Read Replica via the AWS Marketplace from the Timestream AWS Management Console while creating a Timestream for InfluxDB instance.

Adding Read Replicas allow customers to support higher read throughput by distributing read requests across multiple database instances while maintaining a single write endpoint. This helps customers meet the demands of read-intensive workloads, such as real-time analytics and monitoring applications, and improve application performance and availability. Customers can create a Multi-AZ Read Replica cluster with just a few clicks in the AWS Management Console.

Support for Timestream for InfluxDB Read Replicas is available the following Timestream for InfluxDB Regions: US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (Ireland), Europe (London), Europe (Milan), Europe (Paris), and Europe (Stockholm). To learn more about Amazon Timestream for InfluxDB, please refer to our user guide.

You can create a Amazon Timestream for InfluxDB Read Replicas cluster from the Amazon Timestream console, AWS Command line Interface (CLI), or SDK, and AWS CloudFormation. To learn more about the Read Replica Cluster for Amazon Timestream for InfluxDB, visit the product page, documentation, and pricing page.

 

​Amazon Timestream for InfluxDB now supports Read Replicas, enabling customers to scale their read operations across multiple instances and Availability Zones. Customers can activate a Read Replica via the AWS Marketplace from the Timestream AWS Management Console while creating a Timestream for InfluxDB instance. Adding Read Replicas allow customers to support higher read throughput by distributing read requests across multiple database instances while maintaining a single write endpoint. This helps customers meet the demands of read-intensive workloads, such as real-time analytics and monitoring applications, and improve application performance and availability. Customers can create a Multi-AZ Read Replica cluster with just a few clicks in the AWS Management Console. Support for Timestream for InfluxDB Read Replicas is available the following Timestream for InfluxDB Regions: US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (Ireland), Europe (London), Europe (Milan), Europe (Paris), and Europe (Stockholm). To learn more about Amazon Timestream for InfluxDB, please refer to our user guide. You can create a Amazon Timestream for InfluxDB Read Replicas cluster from the Amazon Timestream console, AWS Command line Interface (CLI), or SDK, and AWS CloudFormation. To learn more about the Read Replica Cluster for Amazon Timestream for InfluxDB, visit the product page, documentation, and pricing page.  

Amazon EMR on EC2 now supports real-time update of application configurations for EMR instance fleets without requiring cluster termination or restart. With this feature, customers can now dynamically adjust application configurations, such as Spark’s executor memory, YARN’s resource allocation, and HDFS settings seamlessly, on a running cluster, minimizing interruptions to your workloads. This is particularly useful for adjusting resource allocation and fine-tune applications to match data processing and job performance requirements, while ensuring optimal resource utilization.

Amazon EMR is a cloud big data platform for data processing, interactive analysis, and machine learning using open-source frameworks such as Apache Spark, Apache Flink, and Trino. Previously, you had to terminate and relaunch instance fleet clusters with new configurations. This process resulted in downtime, increased operational effort, and delayed workflow adjustments. With support for reconfiguration, EMR dynamically applies the updated configurations on cluster nodes on a rolling basis while ensuring cluster stability and resource availability. It provides notifications to customers via Amazon CloudWatch and EMR events. In the event of a failure or an incompatible update, EMR rolls back the changes to ensure your cluster remains operational. You can continue to run workloads on the cluster during the update process.

You can leverage this feature on all EMR 5.21 and later releases using AWS CLI, or API. This capability is available in all AWS Regions, including the AWS GovCloud (US) Regions, where Amazon EMR on EC2 is available. To learn more, please refer to the documentation here.

 

​Amazon EMR on EC2 now supports real-time update of application configurations for EMR instance fleets without requiring cluster termination or restart. With this feature, customers can now dynamically adjust application configurations, such as Spark’s executor memory, YARN’s resource allocation, and HDFS settings seamlessly, on a running cluster, minimizing interruptions to your workloads. This is particularly useful for adjusting resource allocation and fine-tune applications to match data processing and job performance requirements, while ensuring optimal resource utilization. Amazon EMR is a cloud big data platform for data processing, interactive analysis, and machine learning using open-source frameworks such as Apache Spark, Apache Flink, and Trino. Previously, you had to terminate and relaunch instance fleet clusters with new configurations. This process resulted in downtime, increased operational effort, and delayed workflow adjustments. With support for reconfiguration, EMR dynamically applies the updated configurations on cluster nodes on a rolling basis while ensuring cluster stability and resource availability. It provides notifications to customers via Amazon CloudWatch and EMR events. In the event of a failure or an incompatible update, EMR rolls back the changes to ensure your cluster remains operational. You can continue to run workloads on the cluster during the update process. You can leverage this feature on all EMR 5.21 and later releases using AWS CLI, or API. This capability is available in all AWS Regions, including the AWS GovCloud (US) Regions, where Amazon EMR on EC2 is available. To learn more, please refer to the documentation here.  

Amazon Aurora PostgreSQL-Compatible Edition zero-ETL integration with Amazon Redshift is now supported in 18 additional regions, enabling near real-time analytics and machine learning (ML) using Amazon Redshift. With this launch, Aurora PostgreSQL zero-ETL integration with Amazon Redshift is supported in all AWS commercial regions where Amazon Redshift is supported.

Zero-ETL integration with Amazon Redshift enables near real-time analytics and machine learning (ML) using Amazon Redshift to analyze petabytes of transactional data from Aurora. Within seconds of transactional data being written into Amazon Aurora PostgreSQL-Compatible Edition, zero-ETL seamlessly makes the data available in Amazon Redshift, removing the need to build and manage complex data pipelines that perform extract, transform, and load (ETL) operations.

Amazon Aurora PostgreSQL zero-ETL integration with Amazon Redshift is available for Aurora PostgreSQL version 16.4 and higher in US West (N. California), Africa (Cape Town), Asia Pacific (Hyderabad), Asia Pacific (Jakarta), Asia Pacific (Melbourne), Asia Pacific (Osaka), Asia Pacific (Seoul), Canada (Central), Canada West (Calgary), Europe (London), Europe (Milan), Europe (Paris), Europe (Spain), Europe (Zurich), Israel (Tel Aviv), Middle East (Bahrain), Middle East (UAE), South America (São Paulo). For all regions supported by the Aurora PostgreSQL zero-ETL integration, see the supported AWS regions.

To learn more and get started with zero-ETL integration, visit Amazon Aurora zero-ETL integration with Amazon Redshift and the getting started guides for Aurora and Amazon Redshift.
 

 

​Amazon Aurora PostgreSQL-Compatible Edition zero-ETL integration with Amazon Redshift is now supported in 18 additional regions, enabling near real-time analytics and machine learning (ML) using Amazon Redshift. With this launch, Aurora PostgreSQL zero-ETL integration with Amazon Redshift is supported in all AWS commercial regions where Amazon Redshift is supported. Zero-ETL integration with Amazon Redshift enables near real-time analytics and machine learning (ML) using Amazon Redshift to analyze petabytes of transactional data from Aurora. Within seconds of transactional data being written into Amazon Aurora PostgreSQL-Compatible Edition, zero-ETL seamlessly makes the data available in Amazon Redshift, removing the need to build and manage complex data pipelines that perform extract, transform, and load (ETL) operations. Amazon Aurora PostgreSQL zero-ETL integration with Amazon Redshift is available for Aurora PostgreSQL version 16.4 and higher in US West (N. California), Africa (Cape Town), Asia Pacific (Hyderabad), Asia Pacific (Jakarta), Asia Pacific (Melbourne), Asia Pacific (Osaka), Asia Pacific (Seoul), Canada (Central), Canada West (Calgary), Europe (London), Europe (Milan), Europe (Paris), Europe (Spain), Europe (Zurich), Israel (Tel Aviv), Middle East (Bahrain), Middle East (UAE), South America (São Paulo). For all regions supported by the Aurora PostgreSQL zero-ETL integration, see the supported AWS regions. To learn more and get started with zero-ETL integration, visit Amazon Aurora zero-ETL integration with Amazon Redshift and the getting started guides for Aurora and Amazon Redshift.    

AWS Cloud Development Kit (AWS CDK) now includes L2 construct support for Amazon Data Firehose delivery streams, enabling developers to define and deploy streaming data infrastructure as code. This new capability allows you to programmatically configure delivery streams that automatically deliver real-time data to destinations like Amazon S3.

With this addition to AWS CDK, you can define sophisticated streaming architectures using familiar programming languages like TypeScript, Python, Java, and .NET. The module simplifies the process of setting up fully-managed delivery streams that push data to your desired destinations on a regular cadence, making it easier to build data lakes, enable real-time analytics, and create data archival solutions.

To learn more about using Amazon Data Firehose with AWS CDK, see the AWS CDK documentation and the Amazon Data Firehose Developer Guide. You can also explore sample applications and use cases on the AWS CDK Workshop website.

 

​AWS Cloud Development Kit (AWS CDK) now includes L2 construct support for Amazon Data Firehose delivery streams, enabling developers to define and deploy streaming data infrastructure as code. This new capability allows you to programmatically configure delivery streams that automatically deliver real-time data to destinations like Amazon S3. With this addition to AWS CDK, you can define sophisticated streaming architectures using familiar programming languages like TypeScript, Python, Java, and .NET. The module simplifies the process of setting up fully-managed delivery streams that push data to your desired destinations on a regular cadence, making it easier to build data lakes, enable real-time analytics, and create data archival solutions. To learn more about using Amazon Data Firehose with AWS CDK, see the AWS CDK documentation and the Amazon Data Firehose Developer Guide. You can also explore sample applications and use cases on the AWS CDK Workshop website.  

AWS Price List API now supports AWS PrivateLink. With AWS PrivateLink, you can simplify private network connectivity between virtual private clouds (VPCs), the AWS Price List API, and your on-premises data centers by using interface VPC endpoints and private IP addresses.

The AWS Price List API provides a catalog of the products and prices for AWS services that you can purchase on AWS.
AWS PrivateLink is compatible with AWS Direct Connect and AWS Virtual Private Network (VPN) to facilitate private network connectivity, and helps you eliminate the need to use public IP addresses, configure firewall rules, or configure an internet gateway to access the AWS Price List API from your on-premises data centers. Using the AWS Price List API with AWS Private Link enables you to access AWS product and pricing data without the need to access the public internet.

AWS PrivateLink for AWS Price List API is available in all commercial regions where the AWS Price List API is available (US East (N. Virginia), Asia Pacific (Mumbai), Europe (Frankfurt), China (Ningxia). There is an additional cost to use this feature. Please see AWS PrivateLink pricing for more details.

You can get started with the feature by using the AWS Management Console, AWS API, AWS CLI, AWS SDK, or AWS CloudFormation. Learn more at Access AWS Billing and Cost Management using an interface endpoint (AWS PrivateLink).
 

 

​AWS Price List API now supports AWS PrivateLink. With AWS PrivateLink, you can simplify private network connectivity between virtual private clouds (VPCs), the AWS Price List API, and your on-premises data centers by using interface VPC endpoints and private IP addresses. The AWS Price List API provides a catalog of the products and prices for AWS services that you can purchase on AWS. AWS PrivateLink is compatible with AWS Direct Connect and AWS Virtual Private Network (VPN) to facilitate private network connectivity, and helps you eliminate the need to use public IP addresses, configure firewall rules, or configure an internet gateway to access the AWS Price List API from your on-premises data centers. Using the AWS Price List API with AWS Private Link enables you to access AWS product and pricing data without the need to access the public internet. AWS PrivateLink for AWS Price List API is available in all commercial regions where the AWS Price List API is available (US East (N. Virginia), Asia Pacific (Mumbai), Europe (Frankfurt), China (Ningxia). There is an additional cost to use this feature. Please see AWS PrivateLink pricing for more details. You can get started with the feature by using the AWS Management Console, AWS API, AWS CLI, AWS SDK, or AWS CloudFormation. Learn more at Access AWS Billing and Cost Management using an interface endpoint (AWS PrivateLink).    

AWS WAF expands its Data Protection capabilities with new controls for sensitive data in logs. In addition, we have updated the Logging configuration console experience, making it easier for customer to select the optimal logging option.

Data Protection works together with existing Logging Redaction and Filtering features. You can select which protection method to use based on your use case and where you need to apply the controls. When configured, selected request log fields can be replaced with cryptographic hashes (e.g. ‘ade099751d2ea9f3393f0f’) or a predefined static string (‘REDACTED’) before logs are sent to WAF Sample Logs, Amazon Security Lake, CloudWatch, or other logging destinations. This centralized approach is designed to simplify the management of data and reduces the risk of accidental exposure. In addition, we simplified the WAF console experience for managing logging configurations. Customers can now view all available logging options and select their preferred settings in a simple unified experience.

This feature is available in all AWS Regions and endpoints where AWS WAF is available. To learn more, see the AWS WAF developer guide. There is no additional cost for using this feature, however standard AWS WAF charges still apply. For details, visit the AWS WAF Pricing page.

To use the new Data Protection feature, simply navigate to your Web ACL ‘Logging and metrics’ section in the AWS WAF console and choose the desired data protection option. Existing logging configurations will remain unchanged. For more information about the Data Protection, visit AWS documentation.

 

​AWS WAF expands its Data Protection capabilities with new controls for sensitive data in logs. In addition, we have updated the Logging configuration console experience, making it easier for customer to select the optimal logging option. Data Protection works together with existing Logging Redaction and Filtering features. You can select which protection method to use based on your use case and where you need to apply the controls. When configured, selected request log fields can be replaced with cryptographic hashes (e.g. ‘ade099751d2ea9f3393f0f’) or a predefined static string (‘REDACTED’) before logs are sent to WAF Sample Logs, Amazon Security Lake, CloudWatch, or other logging destinations. This centralized approach is designed to simplify the management of data and reduces the risk of accidental exposure. In addition, we simplified the WAF console experience for managing logging configurations. Customers can now view all available logging options and select their preferred settings in a simple unified experience. This feature is available in all AWS Regions and endpoints where AWS WAF is available. To learn more, see the AWS WAF developer guide. There is no additional cost for using this feature, however standard AWS WAF charges still apply. For details, visit the AWS WAF Pricing page. To use the new Data Protection feature, simply navigate to your Web ACL ‘Logging and metrics’ section in the AWS WAF console and choose the desired data protection option. Existing logging configurations will remain unchanged. For more information about the Data Protection, visit AWS documentation.  

We’re excited to announce the launch of IAM compute roles for AWS Amplify Hosting, enabling secure connections to other AWS resources from server-side rendered applications. This allows developers to integrate their SSR applications with AWS services while maintaining robust security practices.

Use Cases Unlocked:

• Secure credential management for SSR applications
• Direct integration with AWS services like Secrets Manager and Parameter Store
• Support for database connections (RDS, DynamoDB)
• Granular permission controls
• Branch-specific role configurations

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 learn more, read the documentation. To get started with a tutorial, check out our blog post.

 

​We’re excited to announce the launch of IAM compute roles for AWS Amplify Hosting, enabling secure connections to other AWS resources from server-side rendered applications. This allows developers to integrate their SSR applications with AWS services while maintaining robust security practices.
Use Cases Unlocked:

Secure credential management for SSR applications
Direct integration with AWS services like Secrets Manager and Parameter Store
Support for database connections (RDS, DynamoDB)
Granular permission controls
Branch-specific role configurations

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 learn more, read the documentation. To get started with a tutorial, check out our blog post.  

AWS Storage Gateway expands availability to the AWS Mexico (Central) Region enabling customers to deploy and manage hybrid cloud storage for their on-premises workloads.

AWS Storage Gateway is a hybrid cloud storage service that provides on-premises applications access to virtually unlimited storage in the cloud. You can use AWS Storage Gateway for backing up and archiving data to AWS, providing on-premises file shares backed by cloud storage, and providing on-premises applications low latency access to data in the cloud.

Visit the AWS Storage Gateway product page to learn more. Access the AWS Storage Gateway console to get started. To see all the Regions where AWS Storage Gateway is available, please visit the AWS Region table.
 

 

​AWS Storage Gateway expands availability to the AWS Mexico (Central) Region enabling customers to deploy and manage hybrid cloud storage for their on-premises workloads. AWS Storage Gateway is a hybrid cloud storage service that provides on-premises applications access to virtually unlimited storage in the cloud. You can use AWS Storage Gateway for backing up and archiving data to AWS, providing on-premises file shares backed by cloud storage, and providing on-premises applications low latency access to data in the cloud. Visit the AWS Storage Gateway product page to learn more. Access the AWS Storage Gateway console to get started. To see all the Regions where AWS Storage Gateway is available, please visit the AWS Region table.