7/21/2025, 12:00:00 AM ~ 7/22/2025, 12:00:00 AM (UTC)
Recent Announcements
Amazon SQS introduces fair queues for multi-tenant workloads
Amazon Simple Queue Service (Amazon SQS) now offers fair queues, a new feature that mitigates noisy neighbor impact in multi-tenant standard queues. When one tenant (such as a customer, client application, or request type) sends too many messages or has messages that require longer processing time, fair queues help keep other tenants’ messages flowing without long delays. This preserves quality of service for all tenants while maintaining the scalability and throughput of standard queues.\n To enable fair queues, include a message group ID when sending messages to your Amazon SQS standard queues. No changes to message consumers are required, allowing you to adopt fair queues in live systems with no interruption or migration. Fair queues are particularly valuable for SaaS applications serving multiple customers through shared queues, microservices processing events from multiple resources, and applications handling messages for different request types. Fair queues help maintain consistent dwell time (the time a message spends in the queue between being sent and received) across tenants by reordering messages when a single tenant causes the queue to build a backlog. The queue then prioritizes delivering messages from other tenants. Messages from the tenant causing the backlog continue to be delivered to consumers, but their dwell time increases based on your available consumer capacity. Fair queues are available in all AWS commercial and AWS GovCloud (US) Regions. For more information about Amazon SQS fair queues, read our blog post and visit Amazon SQS Developer Guide.
Amazon Connect announces per-day pricing for external voice connectors
Amazon Connect external voice connectors are now priced at $100 per connector per day. The new daily rate provides customers with more granular billing options. The per-day rate is effective today for new and existing connectors.\n Amazon Connect offers two types of external voice connectors. The transfer connector enables voice calls and metadata to be transferred to another voice system, so you can use Amazon Connect telephony and self-service AI with your existing voice system. The analytics connector enables Amazon Connect Contact Lens to ingest streaming voice and meta data from other voice systems and create contact records, call recordings, real-time and post-call analytics, and agent evaluations. For AWS Regional availability of Amazon Connect external voice connectors, refer to Availability of Amazon Connect features by Region in the Amazon Connect Administrator Guide. To learn more about Amazon Connect and external voice connectors, review the following resources:
Amazon Connect website and pricing
External voice transfer - Amazon Connect Administrator Guide
Contact Lens with external voice - Amazon Connect Administrator Guide
Amazon RDS for Db2 adds support for group-based authorization with self-managed Active Directory
Amazon Relational Database Service (RDS) for Db2 now supports group-based authorization with customer’s self-managed Microsoft Active Directory. This enables a secure and consistent access experience across on-premises and RDS for DB2 workloads.\n Customers can now keep their user credentials and groups securely managed in their self-managed Active Directory and use them to access RDS for Db2. To set this up, customers can simply configure their RDS for Db2 instance to use an AWS Managed Active Directory, and then establish a one-way forest trust with their self-managed Active Directory. This integration allows them to access RDS for DB2 using the same group-based authorization experience as on-premises, without the need to manage separate user accounts and permissions for RDS for DB2.
Amazon RDS makes it simple to set up, operate, and scale Db2 deployments in the cloud. To learn more about Amazon RDS for Db2, check Amazon RDS for Db2 User Guide and Amazon RDS for Db2 pricing page for pricing details and regional availability. To learn more about using self-managed Active Directory to access RDS Db2, refer to documentation.
Amazon Braket adds new 54-qubit quantum processor from IQM
Amazon Braket, the quantum computing service by Amazon Web Services, now offers access to Emerald, the latest quantum processing unit (QPU) by IQM. Emerald is a 54-qubit device with square-lattice topology based on superconducting transmon technology. It provides state-of-the-art gate fidelities and dynamic circuit support to enable customers to research and experiment with quantum algorithms.\n Amazon Braket enables customers to explore and experiment with different types of quantum hardware on AWS, including superconducting, trapped-ion, and neutral atom devices. With this launch, customers now have on-demand access to the latest generation of IQM QPUs. Customers can build, test, and run quantum programs on Emerald with the Braket SDK, or other popular programming frameworks, such as NVIDIA CUDA-Q, Qiskit, and Pennylane. To get priority access to Emerald, customers can use Amazon Braket Hybrid Jobs to run fully managed quantum-classical algorithms.
The Emerald QPU, hosted in Munich, Germany is available via the Europe (Stockholm) Region. Researchers at accredited institutions can apply for AWS credits to support experiments on Amazon Braket through the AWS Cloud Credits for Research program. To get started with the new Emerald QPU, you can read our blog post and see the following resources: Amazon Braket documentation Amazon Braket Console Amazon Braket pricing
Amazon EC2 C7gd instances are now available in additional AWS Regions
Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C7gd instances with up to 3.8 TB of local NVMe-based SSD block-level storage are available in the Asia Pacific (Seoul) and Europe (Paris) Regions.\n These Graviton3-based instances with DDR5 memory are built on the AWS Nitro System and are a great fit for applications that need access to high-speed, low latency local storage, including those that need temporary storage of data for scratch space, temporary files, and caches. They have up to 45% improved real-time NVMe storage performance than comparable Graviton2-based instances. Graviton3-based instances also use up to 60% less energy for the same performance than comparable EC2 instances, enabling you to reduce your carbon footprint in the cloud. To learn more, see Amazon C7gd Instances. To get started, see the AWS Management Console.
Amazon Relational Database Service (Amazon RDS) for PostgreSQL, MySQL, and MariaDB now supports M6i database (DB) instances in AWS GovCloud (US-West), AWS GovCloud (US-East), Asia Pacific (Hyderabad) and Asia Pacific (Jakarta) regions.\n M6i DB instances are available for Amazon RDS for PostgreSQL version 17.1 and higher, 16.1 and higher, 15.4 and higher, 14.9 and higher, and 13.11 and higher. M7i DB instances are also available for Amazon RDS for MySQL version 8.0.32 and higher, and Amazon RDS for MariaDB version 11.4, 10.11, 10.6, 10.5, and 10.4. For complete information on pricing and regional availability, please refer to the Amazon RDS pricing page. Get started by creating any of these fully managed database instance using the Amazon RDS Management Console. For more details, refer to the Amazon RDS User Guide.
Amazon Relational Database Service (Amazon RDS) for PostgreSQL, MySQL, and MariaDB now supports M7i database (DB) instances in AWS Asia Pacific (Melbourne) region. M7i is the latest Intel based offering and is available with a new maximum instance size of 48xlarge, which brings 50% more vCPU and memory than the maximum size of M6i instance type.\n M7i DB instances are available for Amazon RDS for PostgreSQL version 17.1 and higher, 16.1 and higher, 15.4 and higher, 14.9 and higher, and 13.11 and higher. M7i DB instances are also available for Amazon RDS for MySQL version 8.0.32 and higher, and Amazon RDS for MariaDB version 11.4, 10.11, 10.6, 10.5, and 10.4. For complete information on pricing and regional availability, please refer to the Amazon RDS pricing page. Get started by creating any of these fully managed database instance using the Amazon RDS Management Console. For more details, refer to the Amazon RDS User Guide.
Amazon Aurora now supports R7i database instances in additional AWS Regions
Amazon Aurora with MySQL compatibility and PostgreSQL compatibility now supports R7i database instances in Asia Pacific (Osaka), Asia Pacific (Melbourne), Asia Pacific (Thailand) and Mexico (Central) regions. R7i database instances are powered by custom 4th Generation Intel Xeon Scalable processors. R7i instances offer larger instance sizes, up to 48xlarge and features an 8:1 ratio of memory to vCPU, and the latest DDR5 memory.\n You can launch R7i database instances in the Amazon RDS Management Console or using the AWS CLI. Upgrading a database instance to R7i instance family requires a simple instance type modification. For more details, refer to the Aurora documentation. Amazon Aurora is designed for unparalleled high performance and availability at global scale with PostgreSQL compatibility. It provides built-in security, continuous backups, serverless compute, up to 15 read replicas, automated multi-Region replication, and integrations with other AWS services. To get started with Amazon Aurora, take a look at our getting started page.
Amazon Relational Database Service (RDS) for PostgreSQL, MySQL, and MariaDB now supports AWS Graviton3-based R7g in AWS GovCloud (US-East), Asia Pacific (Osaka), Europe (Zurich), Asia Pacific (Jakarta), Israel (Tel Aviv) and Canada West (Calgary) regions. Graviton3-based instances provide up to a 30% performance improvement over Graviton2-based instances on RDS for open-source databases depending on database engine, version, and workload.\n Graviton3 processors offer several improvements over the second-generation Graviton2 processors. Graviton3-based R7g is the first AWS database instances to feature the latest DDR5 memory, which provides 50% more memory bandwidth compared to DDR4, enabling high-speed access to data in memory. R7g database instances offer up to 30Gbps enhanced networking bandwidth and up to 20 Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS). R7g on Amazon RDS for MySQL and MariaDB will also support Optimized Writes. With Optimized Writes you can improve write throughout by up to 2x at no additional cost. R7g database instances are supported on RDS for MySQL versions 8.0 and 8.4, RDS for PostgreSQL versions 13.4 (and higher), 14.5 (and higher), 15, 16 and 17 and RDS for MariaDB versions 10.4, 10.5, 10.6, 10.11 and 11.4. For complete information on pricing and regional availability, please refer to the Amazon RDS pricing page. Get started using the Amazon RDS Management Console.
Amazon Aurora now supports R7g database instances in additional AWS Regions
AWS Graviton3-based R7g database instances are now generally available for Amazon Aurora with PostgreSQL compatibility and Amazon Aurora with MySQL compatibility in Asia Pacific (Osaka), Asia Pacific (Jakarta), Canada West (Calgary), Europe (Zurich), Europe (Paris), Israel (Tel Aviv), Middle East (UAE) and AWS GovCloud (US-East) regions. Graviton3 instances provide up to 30% performance improvement over Graviton2 instances for Aurora depending on database engine, version, and workload.\n Graviton3 processors offer several improvements over Graviton2 processors. Graviton3-based R7g are the first AWS database instances to feature the latest DDR5 memory, which provides 50% more memory bandwidth compared to DDR4, enabling high-speed access to data in memory. R7g database instances offer up to 30Gbps enhanced networking bandwidth and up to 20 Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS). You can launch Graviton3 R7g database instances in the Amazon RDS Management Console or using the AWS CLI. Graviton3 is supported by Aurora MySQL version 3.03.1 and higher, and Aurora PostgreSQL version 13.10 and higher, Aurora PostgreSQL 14.7 and higher, and Aurora PostgreSQL 15.2 and higher. Upgrading a database instance to Graviton3 requires a simple instance type modification. For more details, refer to the Aurora documentation. Amazon Aurora is designed for unparalleled high performance and availability at global scale with full MySQL and PostgreSQL compatibility. It provides built-in security, continuous backups, serverless compute, up to 15 read replicas, automated multi-Region replication, and integrations with other AWS services. To get started with Amazon Aurora, take a look at our getting started page.
Amazon Relational Database Service (RDS) for PostgreSQL, MySQL, and MariaDB now supports AWS Graviton4-based M8g database instances in Asia Pacific (Hyderabad) and Asia Pacific (Tokyo) regions and R8g database instances in AWS US West (N. California) regions. For complete information on pricing and regional availability, please refer to the Amazon RDS pricing page.\n Graviton4-based instances provide up to a 40% performance improvement and up to 29% price/performance improvement for on-demand pricing over Graviton3-based instances of equivalent sizes on Amazon RDS open source databases, depending on database engine, version, and workload. M8g and R8g database instances are available on Amazon RDS for PostgreSQL version 17.1 and higher, 16.1 and higher, 15.2 and higher, 14.5 and higher, and 13.8 and higher. M8g and R8g database instances are available on Amazon RDS for MySQL version 8.0.32 and higher, and Amazon RDS for MariaDB version 11.4.3 and higher, 10.11.7 and higher, 10.6.13 and higher, 10.5.20 and higher, and 10.4.29 and higher. For more details on these instances and supported versions for each region, refer to the Amazon RDS User Guide. Get started by creating a fully managed M8g or R8g database instance using the Amazon RDS Management Console. For complete information on pricing and regional availability, please refer to the Amazon RDS pricing page. For information on specific engine versions that support these DB instance types, please see the Amazon RDS documentation.
Amazon Aurora now supports R8g database instances in the AWS US West (N. California) region
AWS Graviton4-based R8g database instances are now generally available for Amazon Aurora with PostgreSQL compatibility and Amazon Aurora with MySQL compatibility in the AWS US West (N. California) region. R8g instances offer larger instance sizes, up to 48xlarge and features an 8:1 ratio of memory to vCPU, and the latest DDR5 memory. Graviton4-based instances provide up to a 40% performance improvement and up to 29% price/performance improvement for on-demand pricing over Graviton3-based instances of equivalent sizes on Amazon Aurora databases, depending on database engine, version, and workload.\n AWS Graviton4 processors are the latest generation of custom-designed AWS Graviton processors built on the AWS Nitro System. R8g DB instances are available with new 24xlarge and 48xlarge sizes. With these new sizes, R8g DB instances offer up to 192 vCPU, up to 50Gbps enhanced networking bandwidth, and up to 40Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS). You can launch Gravitona4 R8g database instances in the Amazon RDS Management Console or using the AWS CLI. Upgrading a database instance to Graviton4 requires a simple instance type modification. For more details, refer to the Aurora documentation. Amazon Aurora is designed for unparalleled high performance and availability at global scale with full MySQL and PostgreSQL compatibility. It provides built-in security, continuous backups, serverless compute, up to 15 read replicas, automated multi-Region replication, and integrations with other AWS services. To get started with Amazon Aurora, take a look at our getting started page.
Amazon MSK now supports up to 5x more partitions on Express Brokers
Amazon Managed Streaming for Apache Kafka (Amazon MSK) now supports up to 5x more partitions per Express Broker, improving price-performance by up to 50% for partition-bound workloads. Express Brokers are a broker type in Amazon MSK that provide up to 3x more throughput, up to 20x faster scaling, and up to 90% faster recovery compared to Standard Apache Kafka brokers. With this launch, partition-bound workloads can be hosted on fewer brokers. For example, m7g.16xlarge instances now support up to 20,000 partitions per broker vs 4,000 partitions previously. To further improve the resilience of your clusters, Amazon MSK now also now limits the maximum number of partitions that can be created per Express Broker. These quotas help maintain cluster stability by preventing partition counts from exceeding safe thresholds at these higher limits.\n The increased partition support is particularly valuable for streaming applications requiring numerous topics, micro-service architectures with many small topics, and data ingestion pipelines supporting multiple data sources among others. These improvements are now available across all AWS regions where Amazon MSK Express Brokers are offered, at no additional cost. To learn more about partition limits for different instance types and best practices for scaling your Apache Kafka workloads, visit our documentation.
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Artificial Intelligence
- Build an AI-powered automated summarization system with Amazon Bedrock and Amazon Transcribe using Terraform
- Kyruus builds a generative AI provider matching solution on AWS
- Use generative AI in Amazon Bedrock for enhanced recommendation generation in equipment maintenance