Amazon Relational Database Service (RDS) for PostgreSQL now supports the latest minor versions 17.7, 16.11, 15.15, 14.20, and 13.23. 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 includes the new pgcollection extension for RDS PostgreSQL versions 15.15 and above (16.11 and 17.7). This extension enhances database performance by providing an efficient way to store and manage key-value pairs within PostgreSQL functions. Collections maintain the order of entries and can store various types of PostgreSQL data, making them useful for applications that need fast, in-memory data processing.
The release also includes updates to extensions, with pg_tle upgraded to version 1.5.2 and H3_PG upgraded to version 4.2.3.

You can use automatic minor version upgrades to automatically upgrade your databases to more recent minor versions during scheduled maintenance windows. You can also use Amazon RDS Blue/Green deployments for RDS for PostgreSQL using physical replication for your minor version upgrades. 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 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. 

 

​Amazon Relational Database Service (RDS) for PostgreSQL now supports the latest minor versions 17.7, 16.11, 15.15, 14.20, and 13.23. 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 includes the new pgcollection extension for RDS PostgreSQL versions 15.15 and above (16.11 and 17.7). This extension enhances database performance by providing an efficient way to store and manage key-value pairs within PostgreSQL functions. Collections maintain the order of entries and can store various types of PostgreSQL data, making them useful for applications that need fast, in-memory data processing. The release also includes updates to extensions, with pg_tle upgraded to version 1.5.2 and H3_PG upgraded to version 4.2.3. You can use automatic minor version upgrades to automatically upgrade your databases to more recent minor versions during scheduled maintenance windows. You can also use Amazon RDS Blue/Green deployments for RDS for PostgreSQL using physical replication for your minor version upgrades. 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 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.   

Starting today, the Amazon Elastic Compute Cloud (Amazon EC2) G6f instances powered by NVIDIA L4 GPUs are now available in Europe (Spain) and Asia Pacific (Seoul) regions. G6f instances can be used for a wide range of graphics workloads. G6f instances offer GPU partitions as small as one-eighth of a GPU with 3 GB of GPU memory giving customers the flexibility to right size their instances and drive significant cost savings compared to EC2 G6 instances with a single GPU.

Customers can use G6f instances to provision remote workstations for Media & Entertainment, Computer-Aided Engineering, for ML research, and for spatial visualization. G6f instances are available in 5 instance sizes with half, quarter, and one-eighth of a GPU per instance size, paired with third generation AMD EPYC processors offering up to 12 GB of GPU memory and 16 vCPUs.

Amazon EC2 G6f instances are available today in the AWS US East (N. Virginia and Ohio), US West (Oregon), Europe (Stockholm, Frankfurt, London and Spain), Asia Pacific (Mumbai, Tokyo, Seoul and Sydney), Canada (Central), and South America (Sao Paulo) regions. Customers can purchase G6f instances as On-Demand Instances, Spot Instances, or as a part of Savings Plans.

To get started, visit the AWS Management Console, AWS Command Line Interface (CLI), and AWS SDKs, and launch G6f instances with NVIDIA GRID driver 18.4 or later. To learn more, visit the G6 instance page.

 

​Starting today, the Amazon Elastic Compute Cloud (Amazon EC2) G6f instances powered by NVIDIA L4 GPUs are now available in Europe (Spain) and Asia Pacific (Seoul) regions. G6f instances can be used for a wide range of graphics workloads. G6f instances offer GPU partitions as small as one-eighth of a GPU with 3 GB of GPU memory giving customers the flexibility to right size their instances and drive significant cost savings compared to EC2 G6 instances with a single GPU. Customers can use G6f instances to provision remote workstations for Media & Entertainment, Computer-Aided Engineering, for ML research, and for spatial visualization. G6f instances are available in 5 instance sizes with half, quarter, and one-eighth of a GPU per instance size, paired with third generation AMD EPYC processors offering up to 12 GB of GPU memory and 16 vCPUs. Amazon EC2 G6f instances are available today in the AWS US East (N. Virginia and Ohio), US West (Oregon), Europe (Stockholm, Frankfurt, London and Spain), Asia Pacific (Mumbai, Tokyo, Seoul and Sydney), Canada (Central), and South America (Sao Paulo) regions. Customers can purchase G6f instances as On-Demand Instances, Spot Instances, or as a part of Savings Plans. To get started, visit the AWS Management Console, AWS Command Line Interface (CLI), and AWS SDKs, and launch G6f instances with NVIDIA GRID driver 18.4 or later. To learn more, visit the G6 instance page.  

Amazon ECS Service Connect now supports seamless communication between services residing in different AWS accounts through integration with AWS Resource Access Manager (AWS RAM). This enhancement simplifies resource sharing, reduces duplication, and promotes consistent service-to-service communication across environments for organizations with multi-account architectures.

Amazon ECS Service Connect leverages AWS Cloud Map namespaces for storing information about ECS services and tasks. To enable seamless cross-account communication between Amazon ECS Service Connect services, you can now share the underlying AWS Cloud Map namespaces using AWS RAM with individual AWS accounts, specific Organizational Units (OUs), or your entire AWS Organization. To get started, create a resource share in AWS RAM, add the namespaces you want to share, and specify the principals (accounts, OUs, or the organization) that should have access. This enables platform engineers to use the same namespace to register Amazon ECS Service Connect services residing in multiple AWS accounts, simplifying service discovery and connectivity. Application developers can then build services that rely on a consistent, shared registry without worrying about availability or synchronization across accounts. Cross-account connectivity support improves operational efficiency and makes it easier to scale Amazon ECS workloads as your organization grows by reducing duplication and streamlining access to common services.

This feature is available with both Fargate and EC2 launch modes in AWS GovCloud (US-West) and AWS GovCloud (US-East) regions via the AWS Management Console, API, SDK, CLI, and CloudFormation. To learn more, please refer to the Amazon ECS Service Connect documentation.

 

​Amazon ECS Service Connect now supports seamless communication between services residing in different AWS accounts through integration with AWS Resource Access Manager (AWS RAM). This enhancement simplifies resource sharing, reduces duplication, and promotes consistent service-to-service communication across environments for organizations with multi-account architectures. Amazon ECS Service Connect leverages AWS Cloud Map namespaces for storing information about ECS services and tasks. To enable seamless cross-account communication between Amazon ECS Service Connect services, you can now share the underlying AWS Cloud Map namespaces using AWS RAM with individual AWS accounts, specific Organizational Units (OUs), or your entire AWS Organization. To get started, create a resource share in AWS RAM, add the namespaces you want to share, and specify the principals (accounts, OUs, or the organization) that should have access. This enables platform engineers to use the same namespace to register Amazon ECS Service Connect services residing in multiple AWS accounts, simplifying service discovery and connectivity. Application developers can then build services that rely on a consistent, shared registry without worrying about availability or synchronization across accounts. Cross-account connectivity support improves operational efficiency and makes it easier to scale Amazon ECS workloads as your organization grows by reducing duplication and streamlining access to common services. This feature is available with both Fargate and EC2 launch modes in AWS GovCloud (US-West) and AWS GovCloud (US-East) regions via the AWS Management Console, API, SDK, CLI, and CloudFormation. To learn more, please refer to the Amazon ECS Service Connect documentation.  

Starting today, Amazon EC2 High Memory U7i instances with 12TB of memory (u7i-12tb.224xlarge) are now available in the Europe (Stockholm) region. U7i-12tb instances are part of AWS 7th generation and are powered by custom fourth generation Intel Xeon Scalable Processors (Sapphire Rapids). U7i-12tb instances offer 12TB of DDR5 memory, enabling customers to scale transaction processing throughput in a fast-growing data environment.

U7i-12tb instances offer 896 vCPUs, support up to 100Gbps Elastic Block Storage (EBS) for faster data loading and backups, deliver up to 100Gbps of network bandwidth, and support ENA Express. U7i instances are ideal for customers using mission-critical in-memory databases like SAP HANA, Oracle, and SQL Server.

To learn more about U7i instances, visit the High Memory instances page.

 

​Starting today, Amazon EC2 High Memory U7i instances with 12TB of memory (u7i-12tb.224xlarge) are now available in the Europe (Stockholm) region. U7i-12tb instances are part of AWS 7th generation and are powered by custom fourth generation Intel Xeon Scalable Processors (Sapphire Rapids). U7i-12tb instances offer 12TB of DDR5 memory, enabling customers to scale transaction processing throughput in a fast-growing data environment. U7i-12tb instances offer 896 vCPUs, support up to 100Gbps Elastic Block Storage (EBS) for faster data loading and backups, deliver up to 100Gbps of network bandwidth, and support ENA Express. U7i instances are ideal for customers using mission-critical in-memory databases like SAP HANA, Oracle, and SQL Server. To learn more about U7i instances, visit the High Memory instances page.  

Amazon EventBridge now supports Amazon SQS fair queues as targets, enabling you to build more responsive event-driven applications. You can now leverage SQSs improved message distribution across consumer groups and mitigate the noisy neighbor impact in multi-tenant messaging systems. This enhancement allows EventBridge to send events directly to SQS fair queues. With fair queues, multiple consumers can process messages from the same tenant at the same time, while keeping message processing times consistent across all tenants.

The Amazon EventBridge event bus is a serverless event broker that enables you to create scalable event-driven applications by routing events between your own applications, third-party SaaS applications, and other AWS services. SQS fair queues automatically distribute messages fairly across consumer groups, preventing any single group from monopolizing queue resources. When combined with EventBridge’s event routing capabilities, this creates powerful patterns for building scalable, multi-tenant applications where different teams or services need equitable access to event streams.

To route events to an SQS fair queue, you can select the fair queue as a target when creating or updating EventBridge rules through the AWS Management Console, AWS CLI, or AWS SDKs. Be sure to include a MessageGroupID parameter, which can be specified with either a static value or JSON path expression.

Support for Fair Queue and FIFO targets is available in all AWS commercial and AWS GovCloud (US) Regions. For more information about EventBridge target support, see our documentation. For more information about SQS Fair Queues, see the SQS documentation. 

 

​Amazon EventBridge now supports Amazon SQS fair queues as targets, enabling you to build more responsive event-driven applications. You can now leverage SQSs improved message distribution across consumer groups and mitigate the noisy neighbor impact in multi-tenant messaging systems. This enhancement allows EventBridge to send events directly to SQS fair queues. With fair queues, multiple consumers can process messages from the same tenant at the same time, while keeping message processing times consistent across all tenants. The Amazon EventBridge event bus is a serverless event broker that enables you to create scalable event-driven applications by routing events between your own applications, third-party SaaS applications, and other AWS services. SQS fair queues automatically distribute messages fairly across consumer groups, preventing any single group from monopolizing queue resources. When combined with EventBridge’s event routing capabilities, this creates powerful patterns for building scalable, multi-tenant applications where different teams or services need equitable access to event streams. To route events to an SQS fair queue, you can select the fair queue as a target when creating or updating EventBridge rules through the AWS Management Console, AWS CLI, or AWS SDKs. Be sure to include a MessageGroupID parameter, which can be specified with either a static value or JSON path expression. Support for Fair Queue and FIFO targets is available in all AWS commercial and AWS GovCloud (US) Regions. For more information about EventBridge target support, see our documentation. For more information about SQS Fair Queues, see the SQS documentation.   

AWS is announcing the general availability of Amazon EC2 Storage Optimized I8g instances in Asia Pacific (Seoul) and South America (Sao Paulo) regions. I8g instances offer the best performance in Amazon EC2 for storage-intensive workloads. I8g instances use the latest third generation AWS Nitro SSDs, local NVMe storage that deliver up to 65% better real-time storage performance per TB while offering up to 50% lower storage I/O latency and up to 60% lower storage I/O latency variability. These instances are built on the AWS Nitro System, which offloads CPU virtualization, storage, and networking functions to dedicated hardware and software enhancing the performance and security for your workloads.

Amazon EC2 I8g instances are designed for I/O intensive workloads that require rapid data access and real-time latency from storage. These instances excel at handling transactional, real-time, distributed databases, including MySQL, PostgreSQL, Hbase and NoSQL solutions like Aerospike, MongoDB, ClickHouse, and Apache Druid. They’re also optimized for real-time analytics platforms such as Apache Spark, data lakehouse and AI LLM pre-processing for training. I8g instances are available in 10 different sizes with up to 48xlarge including one metal size, 1.5 TiB of memory, and 45 TB local instance storage. They deliver up to 100 Gbps of network performance bandwidth, and 60 Gbps of dedicated bandwidth for Amazon Elastic Block Store (EBS).

To learn more, visit Amazon EC2 I8g instances. To begin your Graviton journey, visit the Level up your compute with AWS Graviton page. To get started, see AWS Management Console, AWS Command Line Interface (AWS CLI), and AWS SDKs.

 

​AWS is announcing the general availability of Amazon EC2 Storage Optimized I8g instances in Asia Pacific (Seoul) and South America (Sao Paulo) regions. I8g instances offer the best performance in Amazon EC2 for storage-intensive workloads. I8g instances use the latest third generation AWS Nitro SSDs, local NVMe storage that deliver up to 65% better real-time storage performance per TB while offering up to 50% lower storage I/O latency and up to 60% lower storage I/O latency variability. These instances are built on the AWS Nitro System, which offloads CPU virtualization, storage, and networking functions to dedicated hardware and software enhancing the performance and security for your workloads. Amazon EC2 I8g instances are designed for I/O intensive workloads that require rapid data access and real-time latency from storage. These instances excel at handling transactional, real-time, distributed databases, including MySQL, PostgreSQL, Hbase and NoSQL solutions like Aerospike, MongoDB, ClickHouse, and Apache Druid. They’re also optimized for real-time analytics platforms such as Apache Spark, data lakehouse and AI LLM pre-processing for training. I8g instances are available in 10 different sizes with up to 48xlarge including one metal size, 1.5 TiB of memory, and 45 TB local instance storage. They deliver up to 100 Gbps of network performance bandwidth, and 60 Gbps of dedicated bandwidth for Amazon Elastic Block Store (EBS). To learn more, visit Amazon EC2 I8g instances. To begin your Graviton journey, visit the Level up your compute with AWS Graviton page. To get started, see AWS Management Console, AWS Command Line Interface (AWS CLI), and AWS SDKs.  

AWS is announcing the general availability of Amazon EC2 Storage Optimized I8g instances in Europe (Stockholm) and Asia Pacific (Osaka) regions. I8g instances offer the best compute performance in Amazon EC2 for storage-intensive workloads. I8g instances use the latest third generation AWS Nitro SSDs, local NVMe storage that deliver up to 65% better real-time storage performance per TB while offering up to 50% lower storage I/O latency and up to 60% lower storage I/O latency variability compared to I4g instances. These instances are built on the AWS Nitro System, which offloads CPU virtualization, storage, and networking functions to dedicated hardware and software enhancing the performance and security for your workloads.

Amazon EC2 I8g instances are designed for I/O intensive workloads that require rapid data access and real-time latency from storage. These instances excel at handling transactional, real-time, distributed databases, including MySQL, PostgreSQL, Hbase and NoSQL solutions like Aerospike, MongoDB, ClickHouse, and Apache Druid. They’re also optimized for real-time analytics platforms such as Apache Spark, data lakehouse and AI LLM pre-processing for training. I8g instances are available in 10 different sizes with up to 48xlarge including one metal size, 1.5 TiB of memory, and 45 TB local instance storage. They deliver up to 100 Gbps of network performance bandwidth, and 60 Gbps of dedicated bandwidth for Amazon Elastic Block Store (EBS).

To learn more, visit Amazon EC2 I8g instances. To begin your Graviton journey, visit the Level up your compute with AWS Graviton page. To get started, see AWS Management Console, AWS Command Line Interface (AWS CLI), and AWS SDKs.

 

​AWS is announcing the general availability of Amazon EC2 Storage Optimized I8g instances in Europe (Stockholm) and Asia Pacific (Osaka) regions. I8g instances offer the best compute performance in Amazon EC2 for storage-intensive workloads. I8g instances use the latest third generation AWS Nitro SSDs, local NVMe storage that deliver up to 65% better real-time storage performance per TB while offering up to 50% lower storage I/O latency and up to 60% lower storage I/O latency variability compared to I4g instances. These instances are built on the AWS Nitro System, which offloads CPU virtualization, storage, and networking functions to dedicated hardware and software enhancing the performance and security for your workloads. Amazon EC2 I8g instances are designed for I/O intensive workloads that require rapid data access and real-time latency from storage. These instances excel at handling transactional, real-time, distributed databases, including MySQL, PostgreSQL, Hbase and NoSQL solutions like Aerospike, MongoDB, ClickHouse, and Apache Druid. They’re also optimized for real-time analytics platforms such as Apache Spark, data lakehouse and AI LLM pre-processing for training. I8g instances are available in 10 different sizes with up to 48xlarge including one metal size, 1.5 TiB of memory, and 45 TB local instance storage. They deliver up to 100 Gbps of network performance bandwidth, and 60 Gbps of dedicated bandwidth for Amazon Elastic Block Store (EBS). To learn more, visit Amazon EC2 I8g instances. To begin your Graviton journey, visit the Level up your compute with AWS Graviton page. To get started, see AWS Management Console, AWS Command Line Interface (AWS CLI), and AWS SDKs.  

Customers using Amazon EventBridge can now setup rules for AWS Health events with multi-region redundancy, or choose a simplified path by creating a single rule to capture all Health events. With this enhancement, Health sends all events simultaneously to US West (Oregon) as well as the individual region of impact. For more information customers can go to Creating EventBridge rules for AWS Region coverage.

Sending Health events to two regions gives customers an option to increase the resilience of their integration by creating a backup rule. US West (Oregon) is the backup for all regions in commercial partition, while US East (N. Virginia) is the backup for US West (Oregon). Plus, this change also enables a simplified integration path, where customers can now setup a single rule in US West (Oregon) to capture all Health events from across commercial partition, as opposed to needing to configure rules in individual regions. Customers now have greater flexibility in their integration approach for receiving Health events.

This update is available in all AWS regions. In China, all Health events get delivered simultaneously to both China (Beijing) and China (Ningxia). In AWS GovCloud (US), all Health events get delivered to AWS GovCloud (US-West) and AWS GovCloud (US-East).

 

​Customers using Amazon EventBridge can now setup rules for AWS Health events with multi-region redundancy, or choose a simplified path by creating a single rule to capture all Health events. With this enhancement, Health sends all events simultaneously to US West (Oregon) as well as the individual region of impact. For more information customers can go to Creating EventBridge rules for AWS Region coverage. Sending Health events to two regions gives customers an option to increase the resilience of their integration by creating a backup rule. US West (Oregon) is the backup for all regions in commercial partition, while US East (N. Virginia) is the backup for US West (Oregon). Plus, this change also enables a simplified integration path, where customers can now setup a single rule in US West (Oregon) to capture all Health events from across commercial partition, as opposed to needing to configure rules in individual regions. Customers now have greater flexibility in their integration approach for receiving Health events. This update is available in all AWS regions. In China, all Health events get delivered simultaneously to both China (Beijing) and China (Ningxia). In AWS GovCloud (US), all Health events get delivered to AWS GovCloud (US-West) and AWS GovCloud (US-East).  

Amazon Web Services (AWS) announces the availability of high performance Storage Optimized Amazon EC2 I7i instances in AWS Europe (Ireland), Asia Pacific (Seoul, Hong Kong) regions. Powered by 5th generation Intel Xeon Scalable processors with an all-core turbo frequency of 3.2 GHz, these 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 are ideal for I/O intensive and latency-sensitive workloads that demand very high random IOPS performance with real-time latency to access small to medium size datasets (multi-TBs). I7i instances support torn write prevention feature with 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 AWS Europe (Ireland), Asia Pacific (Seoul, Hong Kong) regions. Powered by 5th generation Intel Xeon Scalable processors with an all-core turbo frequency of 3.2 GHz, these 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 are ideal for I/O intensive and latency-sensitive workloads that demand very high random IOPS performance with real-time latency to access small to medium size datasets (multi-TBs). I7i instances support torn write prevention feature with 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.  

AWS IoT Core Device Location announces location resolution capabilities for Internet of Things (IoT) devices connected to Amazon Sidewalk network, enabling developers to build asset tracking and geo-fencing applications more efficiently by eliminating the need for GPS hardware in low-power devices. Amazon Sidewalk provides a secure community network through Amazon Sidewalk Gateways (compatible Amazon Echo and Ring devices) to deliver cloud connectivity for IoT devices. AWS IoT Core for Amazon Sidewalk facilitates connectivity and message transmission between Amazon Sidewalk-connected IoT devices and AWS cloud services. The integration of Amazon Sidewalk with AWS IoT Core, enables you to easily provision, onboard, and monitor your Amazon Sidewalk devices in the AWS cloud.

With the new enhancement, you can now use AWS IoT Core’s Device Location feature to resolve the approximate location of your Amazon Sidewalk enabled devices, using input payloads like WiFi access point, Global Navigation Satellite System data, or Bluetooth Low Energy data. AWS IoT Core Device Location uses these inputs to resolve the geo-coordinate data, and delivers the geo-coordinate data to your desired AWS IoT rules or MQTT topics for integration with backend applications. To get started, install Sidewalk SDK v1.19 (or a later version) in your Sidewalk-enabled devices, provision the devices in AWS IoT Core for Amazon Sidewalk, and enable location during the provisioning.

This new feature is available in AWS US-East (N. Virginia) Region of AWS cloud where AWS IoT Core for Amazon Sidewalk is available. Please note that Amazon Sidewalk network is available only in the United States of America. For more information, refer AWS developer guide, Amazon Sidewalk developer guide, and Amazon Sidewalk network coverage.

 

​AWS IoT Core Device Location announces location resolution capabilities for Internet of Things (IoT) devices connected to Amazon Sidewalk network, enabling developers to build asset tracking and geo-fencing applications more efficiently by eliminating the need for GPS hardware in low-power devices. Amazon Sidewalk provides a secure community network through Amazon Sidewalk Gateways (compatible Amazon Echo and Ring devices) to deliver cloud connectivity for IoT devices. AWS IoT Core for Amazon Sidewalk facilitates connectivity and message transmission between Amazon Sidewalk-connected IoT devices and AWS cloud services. The integration of Amazon Sidewalk with AWS IoT Core, enables you to easily provision, onboard, and monitor your Amazon Sidewalk devices in the AWS cloud. With the new enhancement, you can now use AWS IoT Core’s Device Location feature to resolve the approximate location of your Amazon Sidewalk enabled devices, using input payloads like WiFi access point, Global Navigation Satellite System data, or Bluetooth Low Energy data. AWS IoT Core Device Location uses these inputs to resolve the geo-coordinate data, and delivers the geo-coordinate data to your desired AWS IoT rules or MQTT topics for integration with backend applications. To get started, install Sidewalk SDK v1.19 (or a later version) in your Sidewalk-enabled devices, provision the devices in AWS IoT Core for Amazon Sidewalk, and enable location during the provisioning. This new feature is available in AWS US-East (N. Virginia) Region of AWS cloud where AWS IoT Core for Amazon Sidewalk is available. Please note that Amazon Sidewalk network is available only in the United States of America. For more information, refer AWS developer guide, Amazon Sidewalk developer guide, and Amazon Sidewalk network coverage.