Amazon Keyspaces (for Apache Cassandra) is a scalable, serverless, highly available, and fully managed Apache Cassandra-compatible database service that offers 99.999% availability.

Today, Amazon Keyspaces added support for frozen collections in the AWS GovCloud (US-East) and AWS GovCloud (US-West) Regions. With support for frozen collections, the primary keys in your tables can contain collections, allowing you to index your tables on more complex and richer data types. Additionally, using frozen collections, you can create nested collections. Nested collections enable you to model your data in a more real-world way and efficient manner. The AWS console extends the native Cassandra experience by giving you the ability to intuitively create and view nested collections that are several levels deep.

Support for frozen collections is available in all commercial AWS Regions and the AWS GovCloud (US) Regions where AWS offers Amazon Keyspaces. If you’re new to Amazon Keyspaces, the getting started guide shows you how to provision a keyspace and explore the query and scaling capabilities of Amazon Keyspaces.

 

​Amazon Keyspaces (for Apache Cassandra) is a scalable, serverless, highly available, and fully managed Apache Cassandra-compatible database service that offers 99.999% availability. Today, Amazon Keyspaces added support for frozen collections in the AWS GovCloud (US-East) and AWS GovCloud (US-West) Regions. With support for frozen collections, the primary keys in your tables can contain collections, allowing you to index your tables on more complex and richer data types. Additionally, using frozen collections, you can create nested collections. Nested collections enable you to model your data in a more real-world way and efficient manner. The AWS console extends the native Cassandra experience by giving you the ability to intuitively create and view nested collections that are several levels deep.
Support for frozen collections is available in all commercial AWS Regions and the AWS GovCloud (US) Regions where AWS offers Amazon Keyspaces. If you’re new to Amazon Keyspaces, the getting started guide shows you how to provision a keyspace and explore the query and scaling capabilities of Amazon Keyspaces.  

Amazon Keyspaces (for Apache Cassandra) is a scalable, serverless, highly available, and fully managed Apache Cassandra-compatible database service that offers 99.999% availability.

Today, Amazon Keyspaces added support for Cassandra’s User Defined Types (UDTs) in the AWS GovCloud (US-East) and AWS GovCloud (US-West) Regions. With support for UDTs, you can continue using any custom data types that are defined in your Cassandra workloads in Keyspaces without making schema modifications. With this launch, you can use UDTs in the primary key of your tables, allowing you to index your data on more complex and richer data types. Additionally, UDTs enable you to create data models that are more efficient and similar to the data hierarchies that exist in real-world data. The AWS console enhances the original Cassandra experience by allowing you to easily create and visualize nested UDTs at multiple levels.

Support for UDTs is available in all commercial AWS Regions and the AWS GovCloud (US) Regions where AWS offers Amazon Keyspaces. If you’re new to Amazon Keyspaces, the getting started guide shows you how to provision a keyspace and explore the query and scaling capabilities of Amazon Keyspaces.
 

 

​Amazon Keyspaces (for Apache Cassandra) is a scalable, serverless, highly available, and fully managed Apache Cassandra-compatible database service that offers 99.999% availability. Today, Amazon Keyspaces added support for Cassandra’s User Defined Types (UDTs) in the AWS GovCloud (US-East) and AWS GovCloud (US-West) Regions. With support for UDTs, you can continue using any custom data types that are defined in your Cassandra workloads in Keyspaces without making schema modifications. With this launch, you can use UDTs in the primary key of your tables, allowing you to index your data on more complex and richer data types. Additionally, UDTs enable you to create data models that are more efficient and similar to the data hierarchies that exist in real-world data. The AWS console enhances the original Cassandra experience by allowing you to easily create and visualize nested UDTs at multiple levels. Support for UDTs is available in all commercial AWS Regions and the AWS GovCloud (US) Regions where AWS offers Amazon Keyspaces. If you’re new to Amazon Keyspaces, the getting started guide shows you how to provision a keyspace and explore the query and scaling capabilities of Amazon Keyspaces.    

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) R8g instances are available in AWS Asia Pacific (Tokyo) region. These instances are powered by AWS Graviton4 processors and deliver up to 30% better performance compared to AWS Graviton3-based instances. Amazon EC2 R8g instances are ideal for memory-intensive workloads such as databases, in-memory caches, and real-time big data analytics. These instances are built on the AWS Nitro System, which offloads CPU virtualization, storage, and networking functions to dedicated hardware and software to enhance the performance and security of your workloads.

AWS Graviton4-based Amazon EC2 instances deliver the best performance and energy efficiency for a broad range of workloads running on Amazon EC2. AWS Graviton4-based R8g instances offer larger instance sizes with up to 3x more vCPU (up to 48xlarge) and memory (up to 1.5TB) than Graviton3-based R7g instances. These instances are up to 30% faster for web applications, 40% faster for databases, and 45% faster for large Java applications compared to AWS Graviton3-based R7g instances. R8g instances are available in 12 different instance sizes, including two bare metal sizes. They offer up to 50 Gbps enhanced networking bandwidth and up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS).

To learn more, see Amazon EC2 R8g Instances. To explore how to migrate your workloads to Graviton-based instances, see AWS Graviton Fast Start program and Porting Advisor for Graviton. To get started, see the AWS Management Console.
 

 

​Starting today, Amazon Elastic Compute Cloud (Amazon EC2) R8g instances are available in AWS Asia Pacific (Tokyo) region. These instances are powered by AWS Graviton4 processors and deliver up to 30% better performance compared to AWS Graviton3-based instances. Amazon EC2 R8g instances are ideal for memory-intensive workloads such as databases, in-memory caches, and real-time big data analytics. These instances are built on the AWS Nitro System, which offloads CPU virtualization, storage, and networking functions to dedicated hardware and software to enhance the performance and security of your workloads. AWS Graviton4-based Amazon EC2 instances deliver the best performance and energy efficiency for a broad range of workloads running on Amazon EC2. AWS Graviton4-based R8g instances offer larger instance sizes with up to 3x more vCPU (up to 48xlarge) and memory (up to 1.5TB) than Graviton3-based R7g instances. These instances are up to 30% faster for web applications, 40% faster for databases, and 45% faster for large Java applications compared to AWS Graviton3-based R7g instances. R8g instances are available in 12 different instance sizes, including two bare metal sizes. They offer up to 50 Gbps enhanced networking bandwidth and up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS). To learn more, see Amazon EC2 R8g Instances. To explore how to migrate your workloads to Graviton-based instances, see AWS Graviton Fast Start program and Porting Advisor for Graviton. To get started, see the AWS Management Console.    

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) M8g instances are available in AWS Europe (Spain) region. These instances are powered by AWS Graviton4 processors and deliver up to 30% better performance compared to AWS Graviton3-based instances. Amazon EC2 M8g instances are built for general-purpose workloads, such as application servers, microservices, gaming servers, midsize data stores, and caching fleets. These instances are built on the AWS Nitro System, which offloads CPU virtualization, storage, and networking functions to dedicated hardware and software to enhance the performance and security of your workloads.

AWS Graviton4-based Amazon EC2 instances deliver the best performance and energy efficiency for a broad range of workloads running on Amazon EC2. These instances offer larger instance sizes with up to 3x more vCPUs and memory compared to Graviton3-based Amazon M7g instances. AWS Graviton4 processors are up to 40% faster for databases, 30% faster for web applications, and 45% faster for large Java applications than AWS Graviton3 processors. M8g instances are available in 12 different instance sizes, including two bare metal sizes. They offer up to 50 Gbps enhanced networking bandwidth and up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS).

To learn more, see Amazon EC2 M8g Instances. To explore how to migrate your workloads to Graviton-based instances, see AWS Graviton Fast Start program and Porting Advisor for Graviton. To get started, see the AWS Management Console.
 

 

​Starting today, Amazon Elastic Compute Cloud (Amazon EC2) M8g instances are available in AWS Europe (Spain) region. These instances are powered by AWS Graviton4 processors and deliver up to 30% better performance compared to AWS Graviton3-based instances. Amazon EC2 M8g instances are built for general-purpose workloads, such as application servers, microservices, gaming servers, midsize data stores, and caching fleets. These instances are built on the AWS Nitro System, which offloads CPU virtualization, storage, and networking functions to dedicated hardware and software to enhance the performance and security of your workloads. AWS Graviton4-based Amazon EC2 instances deliver the best performance and energy efficiency for a broad range of workloads running on Amazon EC2. These instances offer larger instance sizes with up to 3x more vCPUs and memory compared to Graviton3-based Amazon M7g instances. AWS Graviton4 processors are up to 40% faster for databases, 30% faster for web applications, and 45% faster for large Java applications than AWS Graviton3 processors. M8g instances are available in 12 different instance sizes, including two bare metal sizes. They offer up to 50 Gbps enhanced networking bandwidth and up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS). To learn more, see Amazon EC2 M8g Instances. To explore how to migrate your workloads to Graviton-based instances, see AWS Graviton Fast Start program and Porting Advisor for Graviton. To get started, see the AWS Management Console.    

We are excited to announce the general availability of new multilingual streaming speech recognition models (ASR-2.0) in Amazon Lex. These models enhance recognition accuracy through two specialized groupings: one European-based model supporting Portuguese, Catalan, French, Italian, German, and Spanish, and another Asia Pacific-based model supporting Chinese, Korean, and Japanese.

These Amazon Lex multilingual streaming models leverage shared language patterns within each group to deliver improved recognition accuracy. The models particularly excel at recognizing alphanumeric speech, making it easier to accurately understand customer utterances that are often needed to identify callers and automate tasks in Interactive Voice Response (IVR) applications. For example, the new models better recognize account numbers, confirmation numbers, serial numbers, and product codes. These improvements extend to all regional variants of supported languages (for example, both European French and Canadian French will benefit from this enhancement). Additionally, the new models demonstrate improved recognition accuracy for non-native speakers and various regional accents, making interactions more inclusive and reliable. These models are now the standard for supported languages in Amazon Lex, and customers simply need to rebuild their existing bots to take advantage of these improvements.

The new ASR-2.0 models are now available in all regions that support Amazon Lex V2.
 

 

​We are excited to announce the general availability of new multilingual streaming speech recognition models (ASR-2.0) in Amazon Lex. These models enhance recognition accuracy through two specialized groupings: one European-based model supporting Portuguese, Catalan, French, Italian, German, and Spanish, and another Asia Pacific-based model supporting Chinese, Korean, and Japanese. These Amazon Lex multilingual streaming models leverage shared language patterns within each group to deliver improved recognition accuracy. The models particularly excel at recognizing alphanumeric speech, making it easier to accurately understand customer utterances that are often needed to identify callers and automate tasks in Interactive Voice Response (IVR) applications. For example, the new models better recognize account numbers, confirmation numbers, serial numbers, and product codes. These improvements extend to all regional variants of supported languages (for example, both European French and Canadian French will benefit from this enhancement). Additionally, the new models demonstrate improved recognition accuracy for non-native speakers and various regional accents, making interactions more inclusive and reliable. These models are now the standard for supported languages in Amazon Lex, and customers simply need to rebuild their existing bots to take advantage of these improvements. The new ASR-2.0 models are now available in all regions that support Amazon Lex V2.    

Amazon MQ now supports AWS PrivateLink (interface VPC endpoint) to connect directly to the Amazon MQ API in your virtual private cloud (VPC) instead of connecting over the internet.

When you use AWS PrivateLink, communication between your VPC and Amazon MQ API is conducted entirely within the AWS network, providing an optimized secure pathway for your data. An AWS PrivateLink endpoint connects your VPC directly to the Amazon MQ API. The instances in your VPC don’t need public IP addresses to communicate with the Amazon MQ API. To use Amazon MQ through your VPC, you can connect from an instance that is inside your VPC, or connect your private network to your VPC by using an AWS VPN option or AWS Direct Connect. You can create an AWS PrivateLink to connect to Amazon MQ using the AWS Management Console or AWS Command Line Interface (AWS CLI) commands.

To learn more about using AWS PrivateLink, see the Amazon MQ developer guide, Creating an Interface Endpoint, and the Amazon MQ release notes.

 

​Amazon MQ now supports AWS PrivateLink (interface VPC endpoint) to connect directly to the Amazon MQ API in your virtual private cloud (VPC) instead of connecting over the internet. When you use AWS PrivateLink, communication between your VPC and Amazon MQ API is conducted entirely within the AWS network, providing an optimized secure pathway for your data. An AWS PrivateLink endpoint connects your VPC directly to the Amazon MQ API. The instances in your VPC don’t need public IP addresses to communicate with the Amazon MQ API. To use Amazon MQ through your VPC, you can connect from an instance that is inside your VPC, or connect your private network to your VPC by using an AWS VPN option or AWS Direct Connect. You can create an AWS PrivateLink to connect to Amazon MQ using the AWS Management Console or AWS Command Line Interface (AWS CLI) commands. To learn more about using AWS PrivateLink, see the Amazon MQ developer guide, Creating an Interface Endpoint, and the Amazon MQ release notes.  

Amazon Simple Email Services (SES) announces the availability of Deterministic Easy DKIM (DEED), a new form of global identity which simplifies the use of DomainKeys Identified Mail (DKIM) management for SES first-party sender customers and independent solution vendors (ISVs). DEED expands the existing Easy DKIM solution from SES and enables it to work across all commercial AWS Regions, instead of being limited to just one. While Easy DKIM required domain name system (DNS) lookups to be made in the Region where the identity was verified, DEED expands that capability so customers can use the same identity across multiple Regions without making any DNS setup changes. Customers now have less risk of manual DNS management errors.

At launch, the main use case for DEED is for large customers with multinational operations and a need to have shared access to core domain identities for SES sending from multiple worldwide subsidiaries. ISVs also need to be able to operate smoothly on behalf of their customers, including when moving activity into new Regions. DEED allows them to make those changes without requiring the primary domain owner to make DNS changes themselves.

SES DEED is available across all commercial AWS Regions where SES sending is already available. A new blog post is available here to discuss the feature in greater detail. Click here for more information about Deterministic Easy DKIM and to begin the simple, guided onboarding process for initial setup.

 

​Amazon Simple Email Services (SES) announces the availability of Deterministic Easy DKIM (DEED), a new form of global identity which simplifies the use of DomainKeys Identified Mail (DKIM) management for SES first-party sender customers and independent solution vendors (ISVs). DEED expands the existing Easy DKIM solution from SES and enables it to work across all commercial AWS Regions, instead of being limited to just one. While Easy DKIM required domain name system (DNS) lookups to be made in the Region where the identity was verified, DEED expands that capability so customers can use the same identity across multiple Regions without making any DNS setup changes. Customers now have less risk of manual DNS management errors. At launch, the main use case for DEED is for large customers with multinational operations and a need to have shared access to core domain identities for SES sending from multiple worldwide subsidiaries. ISVs also need to be able to operate smoothly on behalf of their customers, including when moving activity into new Regions. DEED allows them to make those changes without requiring the primary domain owner to make DNS changes themselves. SES DEED is available across all commercial AWS Regions where SES sending is already available. A new blog post is available here to discuss the feature in greater detail. Click here for more information about Deterministic Easy DKIM and to begin the simple, guided onboarding process for initial setup.  

AWS announces the general availability of Amazon Elastic Compute Cloud (Amazon EC2) C6in and M6in instances in Dallas Local Zone. These instances are powered by 3^rd Generation Intel Xeon Scalable processors with an all-core turbo frequency of up to 3.5 GHz. They are x86-based general purpose and compute-optimized instances offering up to 200 Gbps of network bandwidth. The instances are built on AWS Nitro System, which is a dedicated and lightweight hypervisor that delivers the compute and memory resources of the host hardware to your instances for better overall performance and security. You can take advantage of the higher network bandwidth to scale the performance for a broad range of workloads running on Amazon EC2.

AWS Local Zones are a type of AWS infrastructure deployment that places compute, storage, database, and other select services closer to large population, industry, and IT centers where no AWS Region exists. You can use Local Zones to run applications that require single-digit millisecond latency for use cases such as real-time gaming, hybrid migrations, media and entertainment content creation, live video streaming, engineering simulations, and AR/VR at the edge.

To get started, you can enable AWS Dallas Local Zone us-east-1-dfw-2a, in the Amazon EC2 Console or the ModifyAvailabilityZoneGroup API, and deploy C6in and M6in instances. To learn more, visit AWS Local Zones overview page and see Amazon EC2 Instance types.
 

 

​AWS announces the general availability of Amazon Elastic Compute Cloud (Amazon EC2) C6in and M6in instances in Dallas Local Zone. These instances are powered by 3rd Generation Intel Xeon Scalable processors with an all-core turbo frequency of up to 3.5 GHz. They are x86-based general purpose and compute-optimized instances offering up to 200 Gbps of network bandwidth. The instances are built on AWS Nitro System, which is a dedicated and lightweight hypervisor that delivers the compute and memory resources of the host hardware to your instances for better overall performance and security. You can take advantage of the higher network bandwidth to scale the performance for a broad range of workloads running on Amazon EC2. AWS Local Zones are a type of AWS infrastructure deployment that places compute, storage, database, and other select services closer to large population, industry, and IT centers where no AWS Region exists. You can use Local Zones to run applications that require single-digit millisecond latency for use cases such as real-time gaming, hybrid migrations, media and entertainment content creation, live video streaming, engineering simulations, and AR/VR at the edge. To get started, you can enable AWS Dallas Local Zone us-east-1-dfw-2a, in the Amazon EC2 Console or the ModifyAvailabilityZoneGroup API, and deploy C6in and M6in instances. To learn more, visit AWS Local Zones overview page and see Amazon EC2 Instance types.    

Starting today, you can record thumbnail images in Amazon Interactive Video Service (Amazon IVS) Real-Time Streaming. When thumbnail recording is enabled, Amazon IVS automatically generates images at the interval you configure and stores them in the Amazon S3 bucket you select. Thumbnails can be used for preview images in content discovery or as part of content moderation workflows. There is no additional cost for enabling thumbnail recording, but standard Amazon S3 storage and request costs apply.

Amazon IVS is a managed live streaming solution that is designed to make low-latency or real-time video available to viewers around the world. Video ingest and delivery are available over a managed network of infrastructure optimized for live video. Visit the AWS region table for a full list of AWS Regions where the Amazon IVS console and APIs for control and creation of video streams are available.

To learn more, read the Amazon IVS documentation.
 

 

​Starting today, you can record thumbnail images in Amazon Interactive Video Service (Amazon IVS) Real-Time Streaming. When thumbnail recording is enabled, Amazon IVS automatically generates images at the interval you configure and stores them in the Amazon S3 bucket you select. Thumbnails can be used for preview images in content discovery or as part of content moderation workflows. There is no additional cost for enabling thumbnail recording, but standard Amazon S3 storage and request costs apply.
Amazon IVS is a managed live streaming solution that is designed to make low-latency or real-time video available to viewers around the world. Video ingest and delivery are available over a managed network of infrastructure optimized for live video. Visit the AWS region table for a full list of AWS Regions where the Amazon IVS console and APIs for control and creation of video streams are available. To learn more, read the Amazon IVS documentation.    

Amazon RDS for SQL Server now offers enhanced control over backup and restore operations with new custom parameters. This update allows database administrators to fine-tune their processes, potentially improving efficiency and reducing operation times. The new parameters are available for the rds_backup_database, rds_restore_database, and rds_restore_log stored procedures.

You can now specify the BLOCKSIZE, MAXTRANSFERSIZE, and BUFFERCOUNT parameters for backup and restore operations. These granular controls can help optimize performance based on your specific database characteristics and workload patterns. These customizable parameters are particularly useful when customer backups are incompatible with the default settings used by Amazon RDS for SQL Server. By allowing users to fine-tune these performance-related factors, the feature provides greater flexibility to accommodate unique database requirements and operating environments.

Customers can specify these new parameters in all AWS commercial Regions where Amazon RDS for SQL Server databases are available, including the AWS GovCloud (US) Regions.

Amazon RDS makes it simple to set up, operate, and scale SQL Server deployments in the cloud. See Amazon RDS for SQL Server Pricing for up-to-date pricing of instances, storage, data transfer and regional availability.
 

 

​Amazon RDS for SQL Server now offers enhanced control over backup and restore operations with new custom parameters. This update allows database administrators to fine-tune their processes, potentially improving efficiency and reducing operation times. The new parameters are available for the rds_backup_database, rds_restore_database, and rds_restore_log stored procedures. You can now specify the BLOCKSIZE, MAXTRANSFERSIZE, and BUFFERCOUNT parameters for backup and restore operations. These granular controls can help optimize performance based on your specific database characteristics and workload patterns. These customizable parameters are particularly useful when customer backups are incompatible with the default settings used by Amazon RDS for SQL Server. By allowing users to fine-tune these performance-related factors, the feature provides greater flexibility to accommodate unique database requirements and operating environments. Customers can specify these new parameters in all AWS commercial Regions where Amazon RDS for SQL Server databases are available, including the AWS GovCloud (US) Regions. Amazon RDS makes it simple to set up, operate, and scale SQL Server deployments in the cloud. See Amazon RDS for SQL Server Pricing for up-to-date pricing of instances, storage, data transfer and regional availability.