Amazon Managed Service for Apache Flink now supports Amazon Key Management Service (KMS) Customer Managed Keys (CMK). Amazon Managed Service for Apache Flink has always provided encryption by default using AWS-owned KMS keys. Now, customers have the option to use their own Customer Managed Keys providing greater control on how they can encrypt data stored in MSF.

Amazon Managed Service for Apache Flink simplifies the development and operation of real-time data stream processing applications by eliminating the complexity of managing Flink infrastructure. Apache Flink is an open source framework and engine for processing data streams.

For Amazon Managed Service for Apache Flink region availability, refer to the AWS Region Table.

For detailed information about implementing Customer Managed Keys in Amazon Managed Service for Apache Flink, visit our documentation.

 

​Amazon Managed Service for Apache Flink now supports Amazon Key Management Service (KMS) Customer Managed Keys (CMK). Amazon Managed Service for Apache Flink has always provided encryption by default using AWS-owned KMS keys. Now, customers have the option to use their own Customer Managed Keys providing greater control on how they can encrypt data stored in MSF. Amazon Managed Service for Apache Flink simplifies the development and operation of real-time data stream processing applications by eliminating the complexity of managing Flink infrastructure. Apache Flink is an open source framework and engine for processing data streams. For Amazon Managed Service for Apache Flink region availability, refer to the AWS Region Table. For detailed information about implementing Customer Managed Keys in Amazon Managed Service for Apache Flink, visit our documentation.  

Amazon Managed Streaming for Apache Kafka (Amazon MSK) now supports Graviton3-based M7g instances for Standard brokers for MSK Provisioned clusters in AWS GovCloud (US-West), AWS GovCloud (US-East), Asia Pacific (Jakarta), Asia Pacific (Melbourne), Asia Pacific (Osaka), Europe (Zurich), Israel (Tel Aviv), and Asia Pacific (Hong Kong) Regions.

Graviton M7g instances for Standard brokers deliver up to 24% compute cost savings and up to 29% higher write and read throughput over comparable MSK clusters running on M5 instances.

Visit the AWS Regions page for all the regions where Amazon MSK is available. To learn more, check out our blog on M7g based Standard brokers. To get started, see the Amazon MSK Developer Guide.

 

​Amazon Managed Streaming for Apache Kafka (Amazon MSK) now supports Graviton3-based M7g instances for Standard brokers for MSK Provisioned clusters in AWS GovCloud (US-West), AWS GovCloud (US-East), Asia Pacific (Jakarta), Asia Pacific (Melbourne), Asia Pacific (Osaka), Europe (Zurich), Israel (Tel Aviv), and Asia Pacific (Hong Kong) Regions.
Graviton M7g instances for Standard brokers deliver up to 24% compute cost savings and up to 29% higher write and read throughput over comparable MSK clusters running on M5 instances.
Visit the AWS Regions page for all the regions where Amazon MSK is available. To learn more, check out our blog on M7g based Standard brokers. To get started, see the Amazon MSK Developer Guide.  

You can now generate AI-powered forecasts and visualizations on time-series data that has been indexed into Amazon OpenSearch 3.1+ domains.

Forecasts can be used to enhance various analytics use cases to power insights into trending infrastructure utilization and events, application or business metrics, and more. They can help you anticipate upcoming changes in areas such as business metrics, website traffic, system performance, and more. You can easily get started with this feature by setting up forecasts within OpenSearch dashboards or the OpenSearch UI. No data science or AI expertise is required.

AI-powered forecasts are available in all Amazon OpenSearch Service regions that support OpenSearch 3.1 domains. Learn more from the documentation.

 

​You can now generate AI-powered forecasts and visualizations on time-series data that has been indexed into Amazon OpenSearch 3.1+ domains. Forecasts can be used to enhance various analytics use cases to power insights into trending infrastructure utilization and events, application or business metrics, and more. They can help you anticipate upcoming changes in areas such as business metrics, website traffic, system performance, and more. You can easily get started with this feature by setting up forecasts within OpenSearch dashboards or the OpenSearch UI. No data science or AI expertise is required. AI-powered forecasts are available in all Amazon OpenSearch Service regions that support OpenSearch 3.1 domains. Learn more from the documentation.  

Today, AWS announces the general availability of AWS Billing and Cost Management Dashboards, a new feature within AWS Billing and Cost Management that helps you visualize and analyze your AWS spending in one consolidated view. This feature enables you to create customized dashboards that combine data from AWS Cost Explorer and Savings Plans and Reserved Instance coverage and utilization reports. With Billing and Cost Management Dashboards, you can quickly understand your AWS cost patterns and make informed financial decisions for your organization.

Billing and Cost Management Dashboards allows you to create and customize widgets using various widget types including cost widgets, usage widgets, Savings Plans utilization and coverage widgets, and Reserved Instances utilization and coverage widgets. Each widget can be configured with different visualizations, such as line chart, bar chart, stacked bar chart or tables, and you can customize dashboard layouts by adjusting widget sizes and positions. You can share these dashboards across accounts within or outside your organization, enabling FinOps teams to establish standardized cost reporting practices throughout their organization. 

AWS Billing and Cost Management Dashboards is available at no additional cost in all AWS commercial Regions, excluding AWS China Regions. To get started with AWS Billing and Cost Management Dashboards, visit the AWS Billing and Cost Management console and select «Dashboards» from the left navigation menu. For more information, see the AWS Billing and Cost Management Dashboards user guide or blog.

 

​Today, AWS announces the general availability of AWS Billing and Cost Management Dashboards, a new feature within AWS Billing and Cost Management that helps you visualize and analyze your AWS spending in one consolidated view. This feature enables you to create customized dashboards that combine data from AWS Cost Explorer and Savings Plans and Reserved Instance coverage and utilization reports. With Billing and Cost Management Dashboards, you can quickly understand your AWS cost patterns and make informed financial decisions for your organization.
Billing and Cost Management Dashboards allows you to create and customize widgets using various widget types including cost widgets, usage widgets, Savings Plans utilization and coverage widgets, and Reserved Instances utilization and coverage widgets. Each widget can be configured with different visualizations, such as line chart, bar chart, stacked bar chart or tables, and you can customize dashboard layouts by adjusting widget sizes and positions. You can share these dashboards across accounts within or outside your organization, enabling FinOps teams to establish standardized cost reporting practices throughout their organization. 
AWS Billing and Cost Management Dashboards is available at no additional cost in all AWS commercial Regions, excluding AWS China Regions. To get started with AWS Billing and Cost Management Dashboards, visit the AWS Billing and Cost Management console and select «Dashboards» from the left navigation menu. For more information, see the AWS Billing and Cost Management Dashboards user guide or blog.  

On August 5, 2025, AWS announced the availability of two new OpenAI models with open weights in Amazon Bedrock. Today, we’re simplifying access to these foundation models by making them automatically available to all Amazon Bedrock users, eliminating the need to explicitly enable model access. Customers can immediately start using these models through the Amazon Bedrock Console playground or through Amazon Bedrock’s unified API in AWS SDK in the regions where the models are available.

This streamlined access enables customers to quickly begin using OpenAI’s gpt-oss-120b and gpt-oss-20b models without needing to manually activate model access.Soon, we will extend this simplified access approach to other existing non-legacy serverless models in Amazon Bedrock. Going forward, Amazon Bedrock will launch all new serverless foundation models with default access for AWS accounts. Account administrators retain full control over model access through IAM policies and Service Control Policies (SCPs) to restrict model usage as needed.

For information about implementing access controls, visit our documentation and our blog post on implementing least privilege access in Amazon Bedrock. To get started with GPT-OSS models, visit the Amazon Bedrock Console.

 

 

 

 

 

​On August 5, 2025, AWS announced the availability of two new OpenAI models with open weights in Amazon Bedrock. Today, we’re simplifying access to these foundation models by making them automatically available to all Amazon Bedrock users, eliminating the need to explicitly enable model access. Customers can immediately start using these models through the Amazon Bedrock Console playground or through Amazon Bedrock’s unified API in AWS SDK in the regions where the models are available. This streamlined access enables customers to quickly begin using OpenAI’s gpt-oss-120b and gpt-oss-20b models without needing to manually activate model access.Soon, we will extend this simplified access approach to other existing non-legacy serverless models in Amazon Bedrock. Going forward, Amazon Bedrock will launch all new serverless foundation models with default access for AWS accounts. Account administrators retain full control over model access through IAM policies and Service Control Policies (SCPs) to restrict model usage as needed. For information about implementing access controls, visit our documentation and our blog post on implementing least privilege access in Amazon Bedrock. To get started with GPT-OSS models, visit the Amazon Bedrock Console.
 
 
 
   

Amazon announces the expansion of the TwelveLabs’ Pegasus 1.2 video understanding model to the US East (N. Virginia) and Asia Pacific (Seoul) AWS Regions. This expansion makes it easier for customers to build and scale generative AI applications that can understand and interact with video content at an enterprise level.

Pegasus 1.2 is a powerful video-first language model that can generate text based on the visual, audio, and textual content within video. Specifically designed for long-form video, it excels at video-to-text generation and temporal understanding. With Pegasus 1.2’s availability in these additional regions, you can now build video intelligence applications closer to your data and end users in key geographic locations, reducing latency and simplifying your architecture.

With today’s expansion, Pegasus 1.2 is now available in Amazon Bedrock across four regions: US West (Oregon), Europe (Ireland), US East (N. Virginia), and Asia Pacific (Seoul). To get started with Pegasus 1.2, visit the Amazon Bedrock console and request model access. To learn more, read the blog, product page, Amazon Bedrock pricing, and documentation. 

 

​Amazon announces the expansion of the TwelveLabs’ Pegasus 1.2 video understanding model to the US East (N. Virginia) and Asia Pacific (Seoul) AWS Regions. This expansion makes it easier for customers to build and scale generative AI applications that can understand and interact with video content at an enterprise level. Pegasus 1.2 is a powerful video-first language model that can generate text based on the visual, audio, and textual content within video. Specifically designed for long-form video, it excels at video-to-text generation and temporal understanding. With Pegasus 1.2’s availability in these additional regions, you can now build video intelligence applications closer to your data and end users in key geographic locations, reducing latency and simplifying your architecture. With today’s expansion, Pegasus 1.2 is now available in Amazon Bedrock across four regions: US West (Oregon), Europe (Ireland), US East (N. Virginia), and Asia Pacific (Seoul). To get started with Pegasus 1.2, visit the Amazon Bedrock console and request model access. To learn more, read the blog, product page, Amazon Bedrock pricing, and documentation.   

Amazon Web Services (AWS) announces the availability of high performance Storage Optimized Amazon EC2 I7i instances in the AWS Europe (Frankfurt, London), Asia Pacific (Malaysia, Sydney, Tokyo) regions. Powered by 5th generation Intel Xeon Scalable processors with an all-core turbo frequency of 3.2 GHz, these new instances deliver up to 23% better compute performance and more than 10% better price performance over previous generation I4i instances. Powered by 3rd generation AWS Nitro SSDs, I7i instances offer up to 45TB of NVMe storage with up to 50% better real-time storage performance, up to 50% lower storage I/O latency, and up to 60% lower storage I/O latency variability compared to I4i instances.

I7i instances offer the best compute and storage performance for x86-based storage optimized instances in Amazon EC2, ideal for I/O intensive and latency-sensitive workloads that demand very high random IOPS performance with real-time latency to access the small to medium size datasets (multi-TBs). Additionally, torn write prevention feature support up to 16KB block sizes, enabling customers to eliminate database performance bottlenecks.

I7i instances are available in eleven sizes – nine virtual sizes up to 48xlarge and two bare metal sizes – delivering up to 100Gbps of network bandwidth and 60Gbps of Amazon Elastic Block Store (EBS) bandwidth.
To learn more, visit the I7i instances page. 

 

​Amazon Web Services (AWS) announces the availability of high performance Storage Optimized Amazon EC2 I7i instances in the AWS Europe (Frankfurt, London), Asia Pacific (Malaysia, Sydney, Tokyo) regions. Powered by 5th generation Intel Xeon Scalable processors with an all-core turbo frequency of 3.2 GHz, these new instances deliver up to 23% better compute performance and more than 10% better price performance over previous generation I4i instances. Powered by 3rd generation AWS Nitro SSDs, I7i instances offer up to 45TB of NVMe storage with up to 50% better real-time storage performance, up to 50% lower storage I/O latency, and up to 60% lower storage I/O latency variability compared to I4i instances. I7i instances offer the best compute and storage performance for x86-based storage optimized instances in Amazon EC2, ideal for I/O intensive and latency-sensitive workloads that demand very high random IOPS performance with real-time latency to access the small to medium size datasets (multi-TBs). Additionally, torn write prevention feature support up to 16KB block sizes, enabling customers to eliminate database performance bottlenecks. I7i instances are available in eleven sizes – nine virtual sizes up to 48xlarge and two bare metal sizes – delivering up to 100Gbps of network bandwidth and 60Gbps of Amazon Elastic Block Store (EBS) bandwidth. To learn more, visit the I7i instances page.   

Amazon Connect now supports multi-user web, in-app and video calling, allowing multiple users to join the same session with an agent through a web browser or mobile application. Contact center agents can dynamically add participants during a live call or multiple participants can join a scheduled session with the same agent. Participants can engage in audio, video, and screen sharing for a fully collaborative experience.

This capability helps organizations support scenarios such as joint financial planning between spouses, partners and advisors, family medical consultations, or conversations that involve legal representatives, translators, or subject matter experts. With this capability, you can enable a rich, inclusive interaction across stakeholders in a single session, reducing friction and improving the quality of support for complex engagements.

These new features are available in all AWS regions where Amazon Connect is offered. To learn more, visit our product page or refer to our Admin Guide.

 

​Amazon Connect now supports multi-user web, in-app and video calling, allowing multiple users to join the same session with an agent through a web browser or mobile application. Contact center agents can dynamically add participants during a live call or multiple participants can join a scheduled session with the same agent. Participants can engage in audio, video, and screen sharing for a fully collaborative experience. This capability helps organizations support scenarios such as joint financial planning between spouses, partners and advisors, family medical consultations, or conversations that involve legal representatives, translators, or subject matter experts. With this capability, you can enable a rich, inclusive interaction across stakeholders in a single session, reducing friction and improving the quality of support for complex engagements. These new features are available in all AWS regions where Amazon Connect is offered. To learn more, visit our product page or refer to our Admin Guide.  

AWS is announcing the general availability of new memory-optimized Amazon EC2 R8i and R8i-flex instances. 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 R8i and R8i-flex instances offer up to 15% better price-performance, and 2.5x more memory bandwidth compared to previous generation Intel-based instances. They deliver 20% better performance than R7i instances, with even higher gains for specific workloads. They 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 R7i.

R8i-flex, our first memory-optimized Flex instances, are the easiest way to get price performance benefits for a majority of memory-intensive workloads. 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.

R8i instances are a great choice for all memory-intensive workloads, especially for workloads that need the largest instance sizes or continuous high CPU usage. R8i instances offer 13 sizes including 2 bare metal and the new 96xlarge size for the largest applications. R8i instances are SAP-certified and deliver 142,100 aSAPS, the highest among all comparable machines in on-premises and cloud environments, delivering exceptional performance for mission-critical SAP workloads.

R8i and R8i-flex instances are available in the following AWS Regions: US East (N. Virginia), US East (Ohio), US West (Oregon), and Europe (Spain).

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 R8i and R8i-flex instances visit the AWS News blog.

 

​AWS is announcing the general availability of new memory-optimized Amazon EC2 R8i and R8i-flex instances. 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 R8i and R8i-flex instances offer up to 15% better price-performance, and 2.5x more memory bandwidth compared to previous generation Intel-based instances. They deliver 20% better performance than R7i instances, with even higher gains for specific workloads. They 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 R7i. R8i-flex, our first memory-optimized Flex instances, are the easiest way to get price performance benefits for a majority of memory-intensive workloads. 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. R8i instances are a great choice for all memory-intensive workloads, especially for workloads that need the largest instance sizes or continuous high CPU usage. R8i instances offer 13 sizes including 2 bare metal and the new 96xlarge size for the largest applications. R8i instances are SAP-certified and deliver 142,100 aSAPS, the highest among all comparable machines in on-premises and cloud environments, delivering exceptional performance for mission-critical SAP workloads. R8i and R8i-flex instances are available in the following AWS Regions: US East (N. Virginia), US East (Ohio), US West (Oregon), and Europe (Spain). 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 R8i and R8i-flex instances visit the AWS News blog.  

Amazon Relational Database Service (Amazon RDS) for SQL Server now supports Kerberos authentication with self-managed Microsoft Active Directory (AD). With this launch, your applications can use Kerberos authentication to connect to your Amazon RDS for SQL Server instances joined to self-managed AD.

Previously, customers integrating Amazon RDS for SQL Server with Microsoft Active Directory had to use AWS Managed AD for Kerberos authentication. Now, customers can setup Kerberos authentication when integrating Amazon RDS for SQL Server with Microsoft AD without having to use AWS Managed AD. For customers that are migrating on-premises SQL Server databases to Amazon RDS for SQL Server, this feature simplifies migration by removing the requirement to adopt Amazon Managed AD to use Kerberos authentication. Customers who use Amazon RDS for SQL Server with AWS Managed AD can continue to use their existing integration.

To join your Amazon RDS for SQL Server instance to a self-managed AD and setup Kerberos authentication, refer to the Amazon RDS for SQL Server User Guide. This feature is available in all AWS Commercial and AWS GovCloud (US) Regions.

 

​Amazon Relational Database Service (Amazon RDS) for SQL Server now supports Kerberos authentication with self-managed Microsoft Active Directory (AD). With this launch, your applications can use Kerberos authentication to connect to your Amazon RDS for SQL Server instances joined to self-managed AD. Previously, customers integrating Amazon RDS for SQL Server with Microsoft Active Directory had to use AWS Managed AD for Kerberos authentication. Now, customers can setup Kerberos authentication when integrating Amazon RDS for SQL Server with Microsoft AD without having to use AWS Managed AD. For customers that are migrating on-premises SQL Server databases to Amazon RDS for SQL Server, this feature simplifies migration by removing the requirement to adopt Amazon Managed AD to use Kerberos authentication. Customers who use Amazon RDS for SQL Server with AWS Managed AD can continue to use their existing integration. To join your Amazon RDS for SQL Server instance to a self-managed AD and setup Kerberos authentication, refer to the Amazon RDS for SQL Server User Guide. This feature is available in all AWS Commercial and AWS GovCloud (US) Regions.