Kategorie: Amazon AWS

Amazon EC2 C8g, M8g, R8g instances now available in additional regions

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C8g and M8g instances are available in AWS GovCloud (US-West) and R8g and M8g instances are available in AWS GovCloud (US-East) regions. These instances are powered by AWS Graviton4 processors and deliver up to 30% better performance compared to AWS Graviton3-based instances. They 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 C8g, M8g and R8g 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. C8g and 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 C8g Instances, Amazon EC2 M8g Instances, and 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 GovCloud (US) Console.
Quelle: aws.amazon.com

Amazon EC2 C8g instances now available in Europe (Zurich)

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C8g instances are available in AWS Europe (Zurich) region. These instances are powered by AWS Graviton4 processors and deliver up to 30% better performance compared to AWS Graviton3-based instances. Amazon EC2 C8g instances are built for compute-intensive workloads, such as high performance computing (HPC), batch processing, gaming, video encoding, scientific modeling, distributed analytics, CPU-based machine learning (ML) inference, and ad serving. 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 C7g 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. C8g 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 C8g Instances. To get started, see the AWS Management Console.
Quelle: aws.amazon.com

Amazon Aurora now supports PostgreSQL 18.1 in the Amazon RDS Database preview environment

Amazon Aurora PostgreSQL-Compatible Edition now supports PostgreSQL version 18.1 in the Amazon RDS Database Preview Environment, allowing you to evaluate PostgreSQL 18.1 on Amazon Aurora PostgreSQL. PostgreSQL 18.1 was released by the PostgreSQL community on September 9, 2025.  PostgreSQL 18.1 includes “skip scan” support for multicolumn B-tree indexes and improves WHERE clause handling for OR and IN conditions. It introduces parallel GIN index builds and updates join operations. Observability improvements show buffer usage counts and index lookups during query execution, along with a per-connection I/O utilization metric. To learn more about PostgreSQL 18.1, read here.   Database instances in the RDS Database Preview Environment allow testing of a new database engine without the hassle of having to self-install, provision, and manage a preview version of the Aurora PostgreSQL database software. Clusters are retained for a maximum period of 60 days and are automatically deleted after this retention period. Amazon RDS Database Preview Environment database instances are priced the same as production Aurora instances created in the US East (Ohio) Region.   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.
Quelle: aws.amazon.com

AWS Databases are now available on the Vercel Marketplace

Today, AWS Databases including Amazon Aurora PostgreSQL, Amazon Aurora DSQL, and Amazon DynamoDB are generally available on the Vercel Marketplace, enabling you to create and connect to an AWS database directly from Vercel in seconds. To get started, you can create a new AWS Account from Vercel that includes access to the three databases and $100 USD in credits. These credits can be used with any of these database option for up to six months. Once your account is set up, you can have a production-ready Aurora database or DynamoDB table powering your Vercel projects within seconds. You can also manage your plan, add payment information, and view usage details anytime by visiting the AWS settings portal from the Vercel dashboard. To learn more, visit the AWS landing page on the Vercel Marketplace. The integration includes serverless options for Amazon Aurora PostgreSQL, Amazon Aurora DSQL, and Amazon DynamoDB to simplify your application needs and reduce costs by scaling to zero when not in use. You can create a database in the following AWS Regions: US East (N. Virginia), US East (Ohio), US West (Oregon), Europe (Ireland), Europe (Frankfurt), Asia Pacific (Tokyo), and Asia Pacific (Mumbai) with more Regions coming soon. AWS Databases deliver security, reliability, and price performance without the operational overhead, whether you’re prototyping your next big idea or running production AI and data driven applications. For more information, visit the AWS Databases webpage.
Quelle: aws.amazon.com

AWS reduces publishing time for Carbon Footprint Data to 21 days or Less

AWS is now publishing your carbon footprint data in 21 days or less. Previously, the carbon footprint data was published with up to a three month data lag. Now, you have access to your carbon footprint data with estimates published between the 15th and the 21st of the month following your usage. With carbon footprint data available sooner, you have the insights needed to make more timely decisions about how and where your applications are running and identify opportunities to reduce emissions and costs through improved resource efficiency. Also, the CCFT dashboard maintains 38 months of data so you can view your carbon usage trends over time. To view your carbon footprint data, navigate to your carbon emissions data through the AWS Billing and Cost Management console. For more information about CCFT visit the CCFT capabilities and features page, review the CCFT user guides, and learn more by visiting the CCFT webpage.
Quelle: aws.amazon.com

Amazon SageMaker AI is now available in Asia Pacific (New Zealand)

Starting today, you can build, train, and deploy machine learning (ML) models in Asia Pacific (New Zealand). Amazon SageMaker AI is a fully managed platform that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. SageMaker AI removes the heavy lifting from each step of the machine learning process to make it easier to develop high quality models.
To learn more and get started, see SageMaker AI documentation and pricing page.
Quelle: aws.amazon.com

AWS Direct Connect announces new location in Hanoi, Vietnam

Today, AWS announced the opening of a new AWS Direct Connect location within the CMC Tower in Hanoi, Vietnam. You can now establish private, direct network access to all public AWS Regions (except those in China), AWS GovCloud Regions, and AWS Local Zones from this location. This site is the first AWS Direct Connect location in Vietnam. This Direct Connect location offers dedicated 1 Gbps, 10 Gbps, and 100 Gbps connections, with MACsec encryption available for 10 Gbps and 100 Gbps connections.  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 149 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.
Quelle: aws.amazon.com

Amazon Connect launches additional details within real-time metric alerts

Amazon Connect alerts on real-time metrics now provide the specific agents, queues, flows, or routing profiles that exceeded thresholds and triggered the alert. This enables managers to respond faster to customer experience and operational issues by eliminating the need to manually investigate the root cause of the alert. For example, alerts on elevated queue wait times now include the exact queues affected, so managers can reassign agents to those queues. These detailed alerts can be sent through email, tasks, and Amazon EventBridge. This feature is available in all regions where Amazon Connect is offered. To learn more, please visit our documentation and our webpage.
Quelle: aws.amazon.com

AWS IoT Device Management Commands now supports dynamic payloads

AWS IoT Device Management commands now supports dynamic payload functionality, enabling developers to create reusable command templates with placeholders that can be replaced with different values during command execution. The enhancement also includes parameter validation rules to verify that parameter values conform to specified criteria before execution. With this update, developers can now set parameters for the command during runtime, making it easier for them to re-use a command. This feature is ideal for scenarios where you need to send similar commands with different parameter values to your Internet of Things (IoT) devices. For example, instead of creating separate commands to set different temperature values of a thermostat, you can now create one template with a temperature placeholder and specify the actual value during runtime. This template-based approach helps streamline command management for applications, such as adjusting device configurations or controlling smart home devices with variable settings. 
AWS IoT Device Management commands with dynamic payload support is available in all AWS Regions where AWS IoT Device Management is currently available. To learn more about dynamic payloads and payload templates, visit AWS IoT Device Management Commands Developer Guide.
Quelle: aws.amazon.com

Amazon Quick Suite now supports memory for chat agents

We are announcing memory for chat agents in Amazon Quick Suite – a feature that allows users to get personalized responses based on their previous conversations. With this feature, Quick Suite remembers the preferences users specify in chat and generate responses that are tailored to them. Users can also view their inferred preferences and remove any memory they don’t want Quick chat agents to use. Previously, chat users needed to repeat their preferences around response format, acronyms, dashboards, and integrations in every conversation. They also had to clarify ambiguous topics and entities in chat, increasing the tedious back and forth needed to get accurate and insightful responses. Memory addresses this pain point by remembering facts and details about users in a way that ensures responses provided to users continuously learn and improve. Users also control what Quick Suite remembers about them – all the memories are viewable and removable by users, and users have the choice to start chat in Private Mode in which conversations are not used to infer memories. Memory in Quick Suite chat agents is available in US East (N. Virginia) and US West (Oregon). To learn more, visit the Amazon Quick Suite User Guide.
Quelle: aws.amazon.com