Amazon Aurora PostgreSQL Limitless Database is now available with PostgreSQL version 16.8 compatibility, bringing significant improvements and new features. This release contains product improvements and bug fixes made by the PostgreSQL community, along with Aurora Limitless-specific additions such as support for the ltree extension, the btree_gist extension, and improved query performance.

Aurora PostgreSQL Limitless Database makes it easy for you to scale your relational database workloads by providing a serverless endpoint that automatically distributes data and queries across multiple Amazon Aurora Serverless instances while maintaining the transactional consistency of a single database. Aurora PostgreSQL Limitless Database offers capabilities such as distributed query planning and transaction management, removing the need for you to create custom solutions or manage multiple databases to scale. As your workloads increase, Aurora PostgreSQL Limitless Database adds additional compute resources while staying within your specified budget, so there is no need to provision for peak, and compute automatically scales down when demand is low.

Aurora PostgreSQL Limitless Database is available in the following AWS Regions: US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Hong Kong), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Europe (Frankfurt), Europe (Ireland), and Europe (Stockholm).

For pricing details, visit Amazon Aurora pricing. To learn more, read the Aurora PostgreSQL Limitless Database documentation and get started by creating an Aurora PostgreSQL Limitless Database in only a few steps in the Amazon RDS console.

 

​Amazon Aurora PostgreSQL Limitless Database is now available with PostgreSQL version 16.8 compatibility, bringing significant improvements and new features. This release contains product improvements and bug fixes made by the PostgreSQL community, along with Aurora Limitless-specific additions such as support for the ltree extension, the btree_gist extension, and improved query performance. Aurora PostgreSQL Limitless Database makes it easy for you to scale your relational database workloads by providing a serverless endpoint that automatically distributes data and queries across multiple Amazon Aurora Serverless instances while maintaining the transactional consistency of a single database. Aurora PostgreSQL Limitless Database offers capabilities such as distributed query planning and transaction management, removing the need for you to create custom solutions or manage multiple databases to scale. As your workloads increase, Aurora PostgreSQL Limitless Database adds additional compute resources while staying within your specified budget, so there is no need to provision for peak, and compute automatically scales down when demand is low. Aurora PostgreSQL Limitless Database is available in the following AWS Regions: US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Hong Kong), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Europe (Frankfurt), Europe (Ireland), and Europe (Stockholm). For pricing details, visit Amazon Aurora pricing. To learn more, read the Aurora PostgreSQL Limitless Database documentation and get started by creating an Aurora PostgreSQL Limitless Database in only a few steps in the Amazon RDS console.  

Today, AWS announced the opening of a new AWS Direct Connect location within the NEXTDC B2 data center near Brisbane, Australia. By connecting your network to AWS at the new location, you gain private, direct access to all public AWS Regions (except those in China), AWS GovCloud Regions, and AWS Local Zones. This site is the first AWS Direct Connect location in Brisbane and the eight AWS Direct connect location within Australia. This Direct Connect location offers dedicated 10 Gbps and 100 Gbps connections with MACsec encryption available.

The Direct Connect service enables you to establish a private, physical network connection between AWS and your data center, office, or colocation environment. These private connections can provide a more consistent network experience than those made over the public internet.

For more information on the over 148 Direct Connect locations worldwide, visit the locations section of the Direct Connect product detail pages. Or, visit our getting started page to learn more about how to purchase and deploy Direct Connect.

 

​Today, AWS announced the opening of a new AWS Direct Connect location within the NEXTDC B2 data center near Brisbane, Australia. By connecting your network to AWS at the new location, you gain private, direct access to all public AWS Regions (except those in China), AWS GovCloud Regions, and AWS Local Zones. This site is the first AWS Direct Connect location in Brisbane and the eight AWS Direct connect location within Australia. This Direct Connect location offers dedicated 10 Gbps and 100 Gbps connections with MACsec encryption available. The Direct Connect service enables you to establish a private, physical network connection between AWS and your data center, office, or colocation environment. These private connections can provide a more consistent network experience than those made over the public internet. For more information on the over 148 Direct Connect locations worldwide, visit the locations section of the Direct Connect product detail pages. Or, visit our getting started page to learn more about how to purchase and deploy Direct Connect.  

Amazon Web Services (AWS) has expanded the regional availability for Amazon AppStream 2.0. Starting today, AWS customers can deploy their applications and desktops in the AWS Europe (Paris) Region and stream them using AppStream 2.0.

Deploying your applications on AppStream 2.0 in a region closer to your end users helps provide a more responsive experience. Additionally, European Union customers now have another AWS region option to deploy their workloads on AppStream 2.0.

Amazon AppStream 2.0 is a fully managed, secure application streaming service that provides users with instant access to their desktop applications from anywhere. It allows users to stream applications and desktops from AWS to their devices, without requiring them to download, install, or manage any software locally. AppStream 2.0 manages the AWS resources required to host and run your applications, scales automatically, and provides access to your users on demand.

To get started with Amazon AppStream 2.0, sign into the AppStream 2.0 management console and select Europe (Paris) Region. For the full list of Regions where AppStream 2.0 is available, see the AWS Region Table. AppStream 2.0 offers pay-as-you-go pricing. For more information, see Amazon AppStream 2.0 Pricing.

 

​Amazon Web Services (AWS) has expanded the regional availability for Amazon AppStream 2.0. Starting today, AWS customers can deploy their applications and desktops in the AWS Europe (Paris) Region and stream them using AppStream 2.0. Deploying your applications on AppStream 2.0 in a region closer to your end users helps provide a more responsive experience. Additionally, European Union customers now have another AWS region option to deploy their workloads on AppStream 2.0. Amazon AppStream 2.0 is a fully managed, secure application streaming service that provides users with instant access to their desktop applications from anywhere. It allows users to stream applications and desktops from AWS to their devices, without requiring them to download, install, or manage any software locally. AppStream 2.0 manages the AWS resources required to host and run your applications, scales automatically, and provides access to your users on demand. To get started with Amazon AppStream 2.0, sign into the AppStream 2.0 management console and select Europe (Paris) Region. For the full list of Regions where AppStream 2.0 is available, see the AWS Region Table. AppStream 2.0 offers pay-as-you-go pricing. For more information, see Amazon AppStream 2.0 Pricing.  

We are excited to announce that AWS End User Messaging is now available in Mexico (Central).

AWS End User Messaging provides developers with a scalable and cost-effective messaging infrastructure without compromising the safety, security, or results of their communications. Developers can integrate messaging to support uses cases such as one-time passcodes (OTP) at sign-ups, account updates, appointment reminders, delivery notifications, promotions and more.

For more information about the AWS Regions where End User Messaging is available, see the AWS Region table. To learn more, see AWS End User Messaging.
 

 

​We are excited to announce that AWS End User Messaging is now available in Mexico (Central). AWS End User Messaging provides developers with a scalable and cost-effective messaging infrastructure without compromising the safety, security, or results of their communications. Developers can integrate messaging to support uses cases such as one-time passcodes (OTP) at sign-ups, account updates, appointment reminders, delivery notifications, promotions and more. For more information about the AWS Regions where End User Messaging is available, see the AWS Region table. To learn more, see AWS End User Messaging.    

Today, we are announcing the availability of Route 53 Resolver Query Logging in the Asia Pacific (Thailand) and Mexico (Central) Regions, enabling you to log DNS queries that originate in your Amazon Virtual Private Clouds (Amazon VPCs). With query logging enabled, you can see which domain names have been queried, the AWS resources from which the queries originated – including source IP and instance ID – and the responses that were received.

Route 53 Resolver is the Amazon DNS server that is available by default in all Amazon VPCs. Route 53 Resolver responds to DNS queries from AWS resources within a VPC for public DNS records, Amazon VPC-specific DNS names, and Amazon Route 53 private hosted zones. With Route 53 Resolver Query Logging, customers can log DNS queries and responses for queries originating from within their VPCs, whether those queries are answered locally by Route 53 Resolver, or are resolved over the public internet, or are forwarded to on-premises DNS servers via Resolver Endpoints. You can share your query logging configurations across multiple accounts using AWS Resource Access Manager (RAM). You can also choose to send your query logs to Amazon S3, Amazon CloudWatch Logs, or Amazon Kinesis Data Firehose.

There is no additional charge to use Route 53 Resolver Query Logging, although you may incur usage charges from Amazon S3, Amazon CloudWatch, or Amazon Kinesis Data Firehose. To learn more about Route 53 Resolver Query Logging or to get started, visit the Route 53 product page or the Route 53 documentation.

 

​Today, we are announcing the availability of Route 53 Resolver Query Logging in the Asia Pacific (Thailand) and Mexico (Central) Regions, enabling you to log DNS queries that originate in your Amazon Virtual Private Clouds (Amazon VPCs). With query logging enabled, you can see which domain names have been queried, the AWS resources from which the queries originated – including source IP and instance ID – and the responses that were received. Route 53 Resolver is the Amazon DNS server that is available by default in all Amazon VPCs. Route 53 Resolver responds to DNS queries from AWS resources within a VPC for public DNS records, Amazon VPC-specific DNS names, and Amazon Route 53 private hosted zones. With Route 53 Resolver Query Logging, customers can log DNS queries and responses for queries originating from within their VPCs, whether those queries are answered locally by Route 53 Resolver, or are resolved over the public internet, or are forwarded to on-premises DNS servers via Resolver Endpoints. You can share your query logging configurations across multiple accounts using AWS Resource Access Manager (RAM). You can also choose to send your query logs to Amazon S3, Amazon CloudWatch Logs, or Amazon Kinesis Data Firehose. There is no additional charge to use Route 53 Resolver Query Logging, although you may incur usage charges from Amazon S3, Amazon CloudWatch, or Amazon Kinesis Data Firehose. To learn more about Route 53 Resolver Query Logging or to get started, visit the Route 53 product page or the Route 53 documentation.  

Amazon S3 Tables are now available in eleven additional AWS Regions: Africa (Cape Town), Asia Pacific (Hong Kong), Asia Pacific (Hyderabad), Asia Pacific (Jakarta), Asia Pacific (Malaysia), Asia Pacific (Melbourne), Canada West (Calgary), Europe (Milan), Europe (Zurich), Israel (Tel Aviv), and Middle East (Bahrain). S3 Tables deliver the first cloud object store with built-in Apache Iceberg support, and the easiest way to store tabular data at scale.

With this expansion, S3 Tables are now generally available in thirty AWS Regions. To learn more, visit the product page, documentation, and the S3 pricing page.
 

 

​Amazon S3 Tables are now available in eleven additional AWS Regions: Africa (Cape Town), Asia Pacific (Hong Kong), Asia Pacific (Hyderabad), Asia Pacific (Jakarta), Asia Pacific (Malaysia), Asia Pacific (Melbourne), Canada West (Calgary), Europe (Milan), Europe (Zurich), Israel (Tel Aviv), and Middle East (Bahrain). S3 Tables deliver the first cloud object store with built-in Apache Iceberg support, and the easiest way to store tabular data at scale. With this expansion, S3 Tables are now generally available in thirty AWS Regions. To learn more, visit the product page, documentation, and the S3 pricing page.    

Starting today, the Amazon Elastic Compute Cloud (Amazon EC2) Inf2 instances, optimized for generative AI, are generally available in the AWS Asia Pacific (Seoul) Region. Amazon EC2 Inf2 instances deliver up to 40% lower inference costs over comparable Amazon EC2 instances.

You can use Inf2 instances to run popular applications such as text summarization, code generation, video and image generation, speech recognition, personalization, and more. Inf2 instances are the first inference-optimized instances in Amazon EC2 to introduce scale-out distributed inference supported by NeuronLink, a high-speed, nonblocking interconnect. Inf2 instances offer up to 2.3 petaflops and up to 384 GB of total accelerator memory with 9.8 TB/s bandwidth.

The AWS Neuron SDK integrates natively with popular machine learning frameworks, so you can continue using your existing frameworks to deploy on Inf2. Developers can get started with Inf2 instances using AWS Deep Learning AMIs, AWS Deep Learning Containers, or managed services such as Amazon Elastic Container Service (Amazon ECS), Amazon Elastic Kubernetes Service (Amazon EKS), and Amazon SageMaker.

Inf2 instances are now available in four sizes: inf2.xlarge, inf2.8xlarge, inf2.24xlarge, inf2.48xlarge in 14 AWS Regions as On-Demand Instances, Reserved Instances, and Spot Instances, or as part of a Savings Plan.

To learn more about Inf2 instances, see the Amazon EC2 Inf2 Instances webpage and the AWS Neuron Documentation.

 

​Starting today, the Amazon Elastic Compute Cloud (Amazon EC2) Inf2 instances, optimized for generative AI, are generally available in the AWS Asia Pacific (Seoul) Region. Amazon EC2 Inf2 instances deliver up to 40% lower inference costs over comparable Amazon EC2 instances. You can use Inf2 instances to run popular applications such as text summarization, code generation, video and image generation, speech recognition, personalization, and more. Inf2 instances are the first inference-optimized instances in Amazon EC2 to introduce scale-out distributed inference supported by NeuronLink, a high-speed, nonblocking interconnect. Inf2 instances offer up to 2.3 petaflops and up to 384 GB of total accelerator memory with 9.8 TB/s bandwidth. The AWS Neuron SDK integrates natively with popular machine learning frameworks, so you can continue using your existing frameworks to deploy on Inf2. Developers can get started with Inf2 instances using AWS Deep Learning AMIs, AWS Deep Learning Containers, or managed services such as Amazon Elastic Container Service (Amazon ECS), Amazon Elastic Kubernetes Service (Amazon EKS), and Amazon SageMaker. Inf2 instances are now available in four sizes: inf2.xlarge, inf2.8xlarge, inf2.24xlarge, inf2.48xlarge in 14 AWS Regions as On-Demand Instances, Reserved Instances, and Spot Instances, or as part of a Savings Plan. To learn more about Inf2 instances, see the Amazon EC2 Inf2 Instances webpage and the AWS Neuron Documentation.  

AWS Resource Explorer now supports 41 more resource types across all AWS commercial Regions from services including AWS CloudTrail, Amazon Connect, Amazon Sagemaker, and more.

With this release, customers can now search for the following resource types in AWS Resource Explorer:

1. cloud9:environment
2. cloudtrail:eventdatastore
3. connect:instance/rule
4. connect:instance/task-template
5. connect:phone-number
6. datapipeline:pipeline
7. dax:cache
8. devicefarm:project
9. devicefarm:testgrid-project
10. ds:directory
11. ec2:ipam-resource-discovery
12. ec2:ipam-resource-discovery-association
13. elasticloadbalancing:listener-rule/net
14. events:connection
15. forecast:dataset-import-job
16. forecast:forecast
17. forecast:forecast-export-job
18. forecast:predictor
19. forecast:predictor-backtest-export-job
20. geo:map
21. grafana:workspaces
22. groundstation:dataflow-endpoint-group
23. iot:ruledestination
24. iotfleetwise:vehicle
25. ivschat:logging-configuration
26. ivschat:room
27. lookoutmetrics:AnomalyDetector
28. m2:env
29. outposts:site
30. quicksight:theme
31. route53-recovery-control:cluster
32. route53-recovery-control:controlpanel/safetyrule
33. route53-recovery-readiness:readiness-check
34. route53resolver:firewall-rule-group-association
35. rum:appmonitor
36. sagemaker:app-image-config
37. servicediscovery:service
38. synthetics:group
39. transfer:agreement
40. transfer:profile
41. workspaces:connectionalias

To view a complete list of all supported types, see the supported resource types page.

 

​AWS Resource Explorer now supports 41 more resource types across all AWS commercial Regions from services including AWS CloudTrail, Amazon Connect, Amazon Sagemaker, and more. With this release, customers can now search for the following resource types in AWS Resource Explorer:

cloud9:environment
cloudtrail:eventdatastore
connect:instance/rule
connect:instance/task-template
connect:phone-number
datapipeline:pipeline
dax:cache
devicefarm:project
devicefarm:testgrid-project
ds:directory
ec2:ipam-resource-discovery
ec2:ipam-resource-discovery-association
elasticloadbalancing:listener-rule/net
events:connection
forecast:dataset-import-job
forecast:forecast
forecast:forecast-export-job
forecast:predictor
forecast:predictor-backtest-export-job
geo:map
grafana:workspaces
groundstation:dataflow-endpoint-group
iot:ruledestination
iotfleetwise:vehicle
ivschat:logging-configuration
ivschat:room
lookoutmetrics:AnomalyDetector
m2:env
outposts:site
quicksight:theme
route53-recovery-control:cluster
route53-recovery-control:controlpanel/safetyrule
route53-recovery-readiness:readiness-check
route53resolver:firewall-rule-group-association
rum:appmonitor
sagemaker:app-image-config
servicediscovery:service
synthetics:group
transfer:agreement
transfer:profile
workspaces:connectionalias

To view a complete list of all supported types, see the supported resource types page.  

AWS Systems Manager now enables customers to customize their configurations when enabling the new Systems Manager experience, which provides centralized node management capabilities across AWS accounts and Regions. Customers can choose to enable or disable default EC2 instance permissions for Systems Manager connectivity, set the frequency of inventory metadata collection, and define how often the SSM Agent automatically updates.

These options allow customers to tailor their Systems Manager setup while centrally managing their nodes. The new Systems Manager experience uses Default Host Management Configuration (DHMC) to grant EC2 instances permissions to connect to Systems Manager. This simplifies setup and permission management and replaces the previous approach that attached IAM instance profiles to each instance. Customers who prefer to self-manage SSM Agent permissions for EC2 instances can opt out of DHMC to use their own policies. Customers can also define inventory collection schedules and SSM Agent update frequencies that align with their operational requirements. By providing these configuration options, Systems Manager enables customers to manage settings through their preferred methods, including self-managed Infrastructure as Code (IaC) tools and processes.

These customization options are available in all AWS Regions where the new Systems Manager experience is available.

You can select these customization options when you first onboard to the new Systems Manager experience. If you’ve already onboarded, you can review the new options and upgrade to the latest configuration version from the Systems Manager settings page. To learn more about Systems Manager onboarding configurations, visit the AWS Systems Manager documentation.
 

 

​AWS Systems Manager now enables customers to customize their configurations when enabling the new Systems Manager experience, which provides centralized node management capabilities across AWS accounts and Regions. Customers can choose to enable or disable default EC2 instance permissions for Systems Manager connectivity, set the frequency of inventory metadata collection, and define how often the SSM Agent automatically updates. These options allow customers to tailor their Systems Manager setup while centrally managing their nodes. The new Systems Manager experience uses Default Host Management Configuration (DHMC) to grant EC2 instances permissions to connect to Systems Manager. This simplifies setup and permission management and replaces the previous approach that attached IAM instance profiles to each instance. Customers who prefer to self-manage SSM Agent permissions for EC2 instances can opt out of DHMC to use their own policies. Customers can also define inventory collection schedules and SSM Agent update frequencies that align with their operational requirements. By providing these configuration options, Systems Manager enables customers to manage settings through their preferred methods, including self-managed Infrastructure as Code (IaC) tools and processes. These customization options are available in all AWS Regions where the new Systems Manager experience is available. You can select these customization options when you first onboard to the new Systems Manager experience. If you’ve already onboarded, you can review the new options and upgrade to the latest configuration version from the Systems Manager settings page. To learn more about Systems Manager onboarding configurations, visit the AWS Systems Manager documentation.    

Amazon Elastic Compute Cloud (Amazon EC2) C8gd instances, Amazon EC2 M8gd instances, and Amazon EC2 R8gd instances with up to 11.4 TB of local NVMe-based SSD block-level storage are now available in AWS Region Europe (Frankfurt). These instances are powered by AWS Graviton4 processors, delivering up to 30% better performance over Graviton3-based instances. They have up to 40% higher performance for I/O intensive database workloads, and up to 20% faster query results for I/O intensive real-time data analytics than comparable AWS Graviton3-based instances. These instances are built on the AWS Nitro System and are a great fit for applications that need access to high-speed, low latency local storage.

Each instance is available in 12 different sizes. They provide up to 50 Gbps of network bandwidth and up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS). Additionally, customers can now adjust the network and Amazon EBS bandwidth on these instances by 25% using EC2 instance bandwidth weighting configuration, providing greater flexibility with the allocation of bandwidth resources to better optimize workloads. These instances offer Elastic Fabric Adapter (EFA) networking on 24xlarge, 48xlarge, metal-24xl, and metal-48xl sizes.

These instances are now available in AWS Regions US East (Ohio, N. Virginia), US West (Oregon), and Europe (Frankfurt).

To learn more, see Amazon C8gd instances, Amazon M8gd Instances, and Amazon R8gd Instances. To learn how to migrate your workloads to AWS Graviton-based instances, see the Getting started with Graviton.

 

​Amazon Elastic Compute Cloud (Amazon EC2) C8gd instances, Amazon EC2 M8gd instances, and Amazon EC2 R8gd instances with up to 11.4 TB of local NVMe-based SSD block-level storage are now available in AWS Region Europe (Frankfurt). These instances are powered by AWS Graviton4 processors, delivering up to 30% better performance over Graviton3-based instances. They have up to 40% higher performance for I/O intensive database workloads, and up to 20% faster query results for I/O intensive real-time data analytics than comparable AWS Graviton3-based instances. These instances are built on the AWS Nitro System and are a great fit for applications that need access to high-speed, low latency local storage. Each instance is available in 12 different sizes. They provide up to 50 Gbps of network bandwidth and up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS). Additionally, customers can now adjust the network and Amazon EBS bandwidth on these instances by 25% using EC2 instance bandwidth weighting configuration, providing greater flexibility with the allocation of bandwidth resources to better optimize workloads. These instances offer Elastic Fabric Adapter (EFA) networking on 24xlarge, 48xlarge, metal-24xl, and metal-48xl sizes. These instances are now available in AWS Regions US East (Ohio, N. Virginia), US West (Oregon), and Europe (Frankfurt).
To learn more, see Amazon C8gd instances, Amazon M8gd Instances, and Amazon R8gd Instances. To learn how to migrate your workloads to AWS Graviton-based instances, see the Getting started with Graviton.