Amazon Relational Database Service (RDS) for PostgreSQL now supports the latest minor versions 18.2, 17.8, 16.12, 15.16, and 14.21. We recommend that you upgrade to the latest minor versions to fix known security vulnerabilities in prior versions of PostgreSQL, and to benefit from the bug fixes added by the PostgreSQL community. This release also includes new extension pg_stat_monitor that enables you to collect performance metrics and evaluate query performance insights in a unified view.

You can upgrade your databases during scheduled maintenance windows using automatic minor version upgrades. To simplify operations at scale, enable automatic minor version upgrades and use the AWS Organizations Upgrade Rollout Policy to orchestrate thousands of upgrades in phases, first to development environments before upgrading production systems. You can also use Amazon RDS Blue/Green deployments with physical replication to minimize downtime for minor version upgrades.

Amazon RDS for PostgreSQL makes it simple to set up, operate, and scale PostgreSQL deployments in the cloud. See Amazon RDS for PostgreSQL Pricing for pricing details and regional availability. Create or update a fully managed Amazon RDS database in the Amazon RDS Management Console or by using the AWS Command Line Interface (CLI).

 

 

​Amazon Relational Database Service (RDS) for PostgreSQL now supports the latest minor versions 18.2, 17.8, 16.12, 15.16, and 14.21. We recommend that you upgrade to the latest minor versions to fix known security vulnerabilities in prior versions of PostgreSQL, and to benefit from the bug fixes added by the PostgreSQL community. This release also includes new extension pg_stat_monitor that enables you to collect performance metrics and evaluate query performance insights in a unified view. You can upgrade your databases during scheduled maintenance windows using automatic minor version upgrades. To simplify operations at scale, enable automatic minor version upgrades and use the AWS Organizations Upgrade Rollout Policy to orchestrate thousands of upgrades in phases, first to development environments before upgrading production systems. You can also use Amazon RDS Blue/Green deployments with physical replication to minimize downtime for minor version upgrades. Amazon RDS for PostgreSQL makes it simple to set up, operate, and scale PostgreSQL deployments in the cloud. See Amazon RDS for PostgreSQL Pricing for pricing details and regional availability. Create or update a fully managed Amazon RDS database in the Amazon RDS Management Console or by using the AWS Command Line Interface (CLI).
   

AWS is announcing the general availability of new Amazon EC2 M8azn instances, general purpose high-frequency high-network instances powered by fifth generation AMD EPYC (formerly code named Turin) processors, offering the highest maximum CPU frequency, 5GHz in the cloud. M8azn instances offer up to 2x compute performance compared to previous generation M5zn instances, and up to 24% higher performance than M8a instances.

M8azn instances deliver up to 4.3x higher memory bandwidth and 10x larger L3 cache compared to M5zn instances allowing latency-sensitive and compute-intensive workloads to achieve results faster. These instances also offer up to 2x networking throughput and up to 3x EBS throughput versus M5zn instances. Built on the AWS Nitro System using sixth generation Nitro Cards, these instances are ideal for applications such as real-time financial analytics, high-performance computing, high-frequency trading (HFT), CI/CD, intensive gaming, and simulation modeling for the automotive, aerospace, energy, and telecommunication industries. M8azn instances feature a 4:1 ratio of memory to vCPU and are available in 9 sizes ranging from 2 to 96 vCPUs with up to 384 GiB of memory, including two bare metal variants.

M8azn instances are available in the following AWS Regions: US East (N. Virginia), US West (Oregon), Asia Pacific (Tokyo), and Europe (Frankfurt) Regions. Customers can purchase these instances via Savings Plans, On-Demand instances, and Spot instances. To get started, sign in to the AWS Management Console. For more information visit the Amazon EC2 M8azn instance page.

 

​AWS is announcing the general availability of new Amazon EC2 M8azn instances, general purpose high-frequency high-network instances powered by fifth generation AMD EPYC (formerly code named Turin) processors, offering the highest maximum CPU frequency, 5GHz in the cloud. M8azn instances offer up to 2x compute performance compared to previous generation M5zn instances, and up to 24% higher performance than M8a instances. M8azn instances deliver up to 4.3x higher memory bandwidth and 10x larger L3 cache compared to M5zn instances allowing latency-sensitive and compute-intensive workloads to achieve results faster. These instances also offer up to 2x networking throughput and up to 3x EBS throughput versus M5zn instances. Built on the AWS Nitro System using sixth generation Nitro Cards, these instances are ideal for applications such as real-time financial analytics, high-performance computing, high-frequency trading (HFT), CI/CD, intensive gaming, and simulation modeling for the automotive, aerospace, energy, and telecommunication industries. M8azn instances feature a 4:1 ratio of memory to vCPU and are available in 9 sizes ranging from 2 to 96 vCPUs with up to 384 GiB of memory, including two bare metal variants. M8azn instances are available in the following AWS Regions: US East (N. Virginia), US West (Oregon), Asia Pacific (Tokyo), and Europe (Frankfurt) Regions. Customers can purchase these instances via Savings Plans, On-Demand instances, and Spot instances. To get started, sign in to the AWS Management Console. For more information visit the Amazon EC2 M8azn instance page.  

AWS Backup now supports single-action database snapshot copies to logically air-gapped vaults across AWS Regions. This capability is available for Amazon Aurora, Amazon Neptune, and Amazon DocumentDB snapshots, eliminating the need for an intermediate copying step in target Regions.

You can perform cross-Region and cross-account snapshot copies to protect against incidents like ransomware events and Region outages that might affect your production accounts or primary Regions. Previously, this required a two-step process—first copying snapshots to the target Region in a backup vault, then copying them to the logically air-gapped vault in the same Region. Now, you can complete this in one step, achieving faster recovery point objectives (RPOs) while eliminating costs associated with intermediate copies. This streamlined process also removes the need for custom scripts or AWS Lambda functions to monitor intermediate copy status.

This feature is available for Amazon Aurora, Amazon Neptune and Amazon DocumentDB, in all Regions where AWS Backup supports these databases and logically air-gapped vaults. You can start using this feature today through the AWS Management Console, AWS Command Line Interface (CLI), or AWS SDKs. To get started, refer to the AWS Backup documentation.

 

​AWS Backup now supports single-action database snapshot copies to logically air-gapped vaults across AWS Regions. This capability is available for Amazon Aurora, Amazon Neptune, and Amazon DocumentDB snapshots, eliminating the need for an intermediate copying step in target Regions.
You can perform cross-Region and cross-account snapshot copies to protect against incidents like ransomware events and Region outages that might affect your production accounts or primary Regions. Previously, this required a two-step process—first copying snapshots to the target Region in a backup vault, then copying them to the logically air-gapped vault in the same Region. Now, you can complete this in one step, achieving faster recovery point objectives (RPOs) while eliminating costs associated with intermediate copies. This streamlined process also removes the need for custom scripts or AWS Lambda functions to monitor intermediate copy status.
This feature is available for Amazon Aurora, Amazon Neptune and Amazon DocumentDB, in all Regions where AWS Backup supports these databases and logically air-gapped vaults. You can start using this feature today through the AWS Management Console, AWS Command Line Interface (CLI), or AWS SDKs. To get started, refer to the AWS Backup documentation.  

Amazon S3 Tables announce partition and sort order definition support for the CreateTable API. This enhancement simplifies setting these properties programmatically, making it easier to manage and optimize data in tables when they are created.

To use this feature, you can specify fields for partition transforms and sort order in the CreateTable API call. You can also define these properties when you create tables using the AWS CLI or the AWS SDK.

To create tables with partition and sort order, upgrade to the latest version of the AWS CLI and AWS SDKs. This support is available in all AWS Regions where S3 Tables are available. To learn more, visit the Amazon S3 Tables overview page and documentation.

 

​Amazon S3 Tables announce partition and sort order definition support for the CreateTable API. This enhancement simplifies setting these properties programmatically, making it easier to manage and optimize data in tables when they are created. To use this feature, you can specify fields for partition transforms and sort order in the CreateTable API call. You can also define these properties when you create tables using the AWS CLI or the AWS SDK. To create tables with partition and sort order, upgrade to the latest version of the AWS CLI and AWS SDKs. This support is available in all AWS Regions where S3 Tables are available. To learn more, visit the Amazon S3 Tables overview page and documentation.  

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C8i and C8i-flex instances are available in the Europe (Paris), Canada (Central), and US West (N. California) regions. 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. These C8i and C8i-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% higher performance than C7i and C7i-flex instances, with even higher gains for specific workloads. The C8i and C8i-flex are up to 60% faster for NGINX web applications, up to 40% faster for AI deep learning recommendation models, and 35% faster for Memcached stores compared to C7i and C7i-flex.

C8i-flex are the easiest way to get price performance benefits for a majority of compute intensive workloads like web and application servers, databases, caches, Apache Kafka, Elasticsearch, 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.

C8i instances are a great choice for all memory-intensive workloads, especially for workloads that need the largest instance sizes or continuous high CPU usage. C8i 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. Customers can purchase these instances via Savings Plans, On-Demand instances, and Spot instances. For more information about the new C8i and C8i-flex instances visit the AWS News blog.

 

​Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C8i and C8i-flex instances are available in the Europe (Paris), Canada (Central), and US West (N. California) regions. 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. These C8i and C8i-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% higher performance than C7i and C7i-flex instances, with even higher gains for specific workloads. The C8i and C8i-flex are up to 60% faster for NGINX web applications, up to 40% faster for AI deep learning recommendation models, and 35% faster for Memcached stores compared to C7i and C7i-flex. C8i-flex are the easiest way to get price performance benefits for a majority of compute intensive workloads like web and application servers, databases, caches, Apache Kafka, Elasticsearch, 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. C8i instances are a great choice for all memory-intensive workloads, especially for workloads that need the largest instance sizes or continuous high CPU usage. C8i 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. Customers can purchase these instances via Savings Plans, On-Demand instances, and Spot instances. For more information about the new C8i and C8i-flex instances visit the AWS News blog.  

Amazon Relational Database Service (Amazon RDS) for MariaDB now supports community MariaDB minor versions 10.6.25, 10.11.16, 11.4.10, and 11.8.6. We recommend that you upgrade to the latest minor versions to fix known security vulnerabilities in prior versions of MariaDB, and to benefit from the bug fixes, performance improvements, and new functionality added by the MariaDB community.

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 MariaDB 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 MariaDB makes it straightforward to set up, operate, and scale MariaDB deployments in the cloud. Learn more about pricing details and regional availability at Amazon RDS for MariaDB. Create or update a fully managed Amazon RDS database in the Amazon RDS Management Console.

 

​Amazon Relational Database Service (Amazon RDS) for MariaDB now supports community MariaDB minor versions 10.6.25, 10.11.16, 11.4.10, and 11.8.6. We recommend that you upgrade to the latest minor versions to fix known security vulnerabilities in prior versions of MariaDB, and to benefit from the bug fixes, performance improvements, and new functionality added by the MariaDB community. 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 MariaDB 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 MariaDB makes it straightforward to set up, operate, and scale MariaDB deployments in the cloud. Learn more about pricing details and regional availability at Amazon RDS for MariaDB. Create or update a fully managed Amazon RDS database in the Amazon RDS Management Console.  

Amazon Connect now supports the ability to configure agents with auto-accept settings for chat, tasks, emails, and callbacks. When auto-accept is enabled, incoming contacts are automatically connected to available agents instead of waiting on the agent to manually accept or reject each contact, ensuring that customers receive timely assistance. Previously, these settings were available only for inbound voice contacts. You can now enable these settings at the channel level for each agent to further optimize how agents spend their time. For example, you could choose to enable auto-accept for tasks while keeping auto-accept disabled for voice calls to ensure that the agent is connected to a voice call only once they indicate they are ready.

 

​Amazon Connect now supports the ability to configure agents with auto-accept settings for chat, tasks, emails, and callbacks. When auto-accept is enabled, incoming contacts are automatically connected to available agents instead of waiting on the agent to manually accept or reject each contact, ensuring that customers receive timely assistance. Previously, these settings were available only for inbound voice contacts. You can now enable these settings at the channel level for each agent to further optimize how agents spend their time. For example, you could choose to enable auto-accept for tasks while keeping auto-accept disabled for voice calls to ensure that the agent is connected to a voice call only once they indicate they are ready.  

Amazon Aurora DSQL is now available with single-Region clusters in Asia Pacific (Melbourne), Asia Pacific (Sydney), Canada (Central), and Canada West (Calgary). Aurora DSQL is the fastest serverless, distributed SQL database that enables you to build always available applications with virtually unlimited scalability, the highest availability, and zero infrastructure management. It is designed to make scaling and resilience effortless for your applications and offers the fastest distributed SQL reads and writes.

With this launch, Aurora DSQL is available in the following AWS Regions: US East (N. Virginia), US East (Ohio), US West (Oregon), Canada (Central), Canada West (Calgary), Asia Pacific (Melbourne), Asia Pacific (Sydney), Asia Pacific (Osaka), Asia Pacific (Tokyo), Asia Pacific (Seoul), Europe (Ireland), Europe (London), Europe (Frankfurt), and Europe (Paris).

Get started with Aurora DSQL for free with the AWS Free Tier. To learn more, visit the Aurora DSQL webpage and documentation.

 

​Amazon Aurora DSQL is now available with single-Region clusters in Asia Pacific (Melbourne), Asia Pacific (Sydney), Canada (Central), and Canada West (Calgary). Aurora DSQL is the fastest serverless, distributed SQL database that enables you to build always available applications with virtually unlimited scalability, the highest availability, and zero infrastructure management. It is designed to make scaling and resilience effortless for your applications and offers the fastest distributed SQL reads and writes. With this launch, Aurora DSQL is available in the following AWS Regions: US East (N. Virginia), US East (Ohio), US West (Oregon), Canada (Central), Canada West (Calgary), Asia Pacific (Melbourne), Asia Pacific (Sydney), Asia Pacific (Osaka), Asia Pacific (Tokyo), Asia Pacific (Seoul), Europe (Ireland), Europe (London), Europe (Frankfurt), and Europe (Paris). Get started with Aurora DSQL for free with the AWS Free Tier. To learn more, visit the Aurora DSQL webpage and documentation.  

Amazon Managed Streaming for Apache Kafka (MSK) now supports broker logs for Express brokers at no additional cost. With access to broker logs, you can troubleshoot client connectivity and availability issues and get insights into broker behavior during rebalances or fail-overs. You can also easily integrate Kafka operational telemetry into existing observability pipelines using pre-built integrations with Amazon CloudWatch Logs and Amazon S3. Broker Logs are available for both new and existing Express brokers . You can enable them from the Amazon MSK Console or AWS CLI. To learn how to setup broker log delivery, see the Amazon MSK broker logs documentation.

MSK Express brokers are designed to deliver up to three times more throughput per broker, scale up to 20 times faster, and reduce recovery time by 90 percent compared to Standard brokers running Apache Kafka. Express broker logs are supported in all AWS regions where express brokers are available. With Amazon MSK, you spend more time innovating on applications and less time managing clusters. Visit the Amazon MSK developer guide to get started. 

 

​Amazon Managed Streaming for Apache Kafka (MSK) now supports broker logs for Express brokers at no additional cost. With access to broker logs, you can troubleshoot client connectivity and availability issues and get insights into broker behavior during rebalances or fail-overs. You can also easily integrate Kafka operational telemetry into existing observability pipelines using pre-built integrations with Amazon CloudWatch Logs and Amazon S3. Broker Logs are available for both new and existing Express brokers . You can enable them from the Amazon MSK Console or AWS CLI. To learn how to setup broker log delivery, see the Amazon MSK broker logs documentation. MSK Express brokers are designed to deliver up to three times more throughput per broker, scale up to 20 times faster, and reduce recovery time by 90 percent compared to Standard brokers running Apache Kafka. Express broker logs are supported in all AWS regions where express brokers are available. With Amazon MSK, you spend more time innovating on applications and less time managing clusters. Visit the Amazon MSK developer guide to get started.   

AWS Elastic Beanstalk now enables you to use GitHub Actions to automatically deploy web applications when you push code or configuration changes to your GitHub repository, streamlining your continuous integration and continuous deployment (CI/CD) pipeline for scalable web applications.

GitHub Actions allow development teams to automate their software delivery process, enabling CI/CD workflows that automatically build, test, and deploy code changes whenever developers push updates to their repositories. Teams deploying to Elastic Beanstalk can now benefit from enhanced automation that handles deployment package creation, S3 uploads, version management, and environment monitoring. The new GitHub Action provides a simplified way to deploy applications to Elastic Beanstalk using declarative configuration in GitHub Actions workflows, offering comprehensive automation for the entire deployment lifecycle. This action automatically creates applications and environments when needed, manages deployment packages with configurable exclusions, and integrates seamlessly with IAM using OpenID Connect (OIDC) authentication.

To get started, add the «aws-elasticbeanstalk-deploy» action to your GitHub Actions workflow file with configuration parameters for your application deployment. The action supports configuring environment settings and platform versions, optional health monitoring and deployment validation, intelligent retry logic for reliable deployments, and S3 bucket management for deployment artifacts. To learn more, visit the README for the AWS Elastic Beanstalk Deploy GitHub action.

You can use this GitHub Action for your Elastic Beanstalk applications in all commercial AWS Regions where Elastic Beanstalk is available.

 

 

​AWS Elastic Beanstalk now enables you to use GitHub Actions to automatically deploy web applications when you push code or configuration changes to your GitHub repository, streamlining your continuous integration and continuous deployment (CI/CD) pipeline for scalable web applications.
GitHub Actions allow development teams to automate their software delivery process, enabling CI/CD workflows that automatically build, test, and deploy code changes whenever developers push updates to their repositories. Teams deploying to Elastic Beanstalk can now benefit from enhanced automation that handles deployment package creation, S3 uploads, version management, and environment monitoring. The new GitHub Action provides a simplified way to deploy applications to Elastic Beanstalk using declarative configuration in GitHub Actions workflows, offering comprehensive automation for the entire deployment lifecycle. This action automatically creates applications and environments when needed, manages deployment packages with configurable exclusions, and integrates seamlessly with IAM using OpenID Connect (OIDC) authentication.
To get started, add the «aws-elasticbeanstalk-deploy» action to your GitHub Actions workflow file with configuration parameters for your application deployment. The action supports configuring environment settings and platform versions, optional health monitoring and deployment validation, intelligent retry logic for reliable deployments, and S3 bucket management for deployment artifacts. To learn more, visit the README for the AWS Elastic Beanstalk Deploy GitHub action.
You can use this GitHub Action for your Elastic Beanstalk applications in all commercial AWS Regions where Elastic Beanstalk is available.