Kategorie: Amazon AWS

Amazon EC2 C8gn instances are now available in additional regions

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C8gn instances, powered by the latest-generation AWS Graviton4 processors, are available in the AWS Asia Pacific (Malaysia, Sydney, Thailand) Region. The new instances provide up to 30% better compute performance than Graviton3-based Amazon EC2 C7gn instances. Amazon EC2 C8gn instances feature the latest 6th generation AWS Nitro Cards, and offer up to 600 Gbps network bandwidth, the highest network bandwidth among network optimized EC2 instances. Take advantage of the enhanced networking capabilities of C8gn to scale performance and throughput, while optimizing the cost of running network-intensive workloads such as network virtual appliances, data analytics, CPU-based artificial intelligence and machine learning (AI/ML) inference. For increased scalability, C8gn instances offer instance sizes up to 48xlarge, up to 384 GiB of memory, and up to 60 Gbps of bandwidth to Amazon Elastic Block Store (EBS). C8gn instances support Elastic Fabric Adapter (EFA) networking on the 16xlarge, 24xlarge, 48xlarge, metal-24xl, and metal-48xl sizes, which enables lower latency and improved cluster performance for workloads deployed on tightly coupled clusters. C8gn instances are available in the following AWS Regions: US East (N. Virginia), US West (Oregon, N.California), Europe (Frankfurt, Stockholm), Asia Pacific (Singapore, Malaysia, Sydney, Thailand) To learn more, see Amazon C8gn 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.
Quelle: aws.amazon.com

Amazon Aurora PostgreSQL zero-ETL integration with Amazon SageMaker is now available

Amazon Aurora PostgreSQL-Compatible Edition now supports zero-ETL integration with Amazon SageMaker, enabling near real-time data availability for analytics workloads. This integration automatically extracts and loads data from PostgreSQL tables into your lakehouse where it’s immediately accessible through various analytics engines and machine learning tools. The data synced into the lakehouse is compatible with Apache Iceberg open standards, enabling you to use your preferred analytics tools and query engines such as SQL, Apache Spark, BI, and AI/ML tools. Through a simple no-code interface, you can create and maintain an up-to-date replica of your PostgreSQL data in your lakehouse without impacting production workloads. The integration features comprehensive, fine-grained access controls that are consistently enforced across all analytics tools and engines, ensuring secure data sharing throughout your organization. As a complement to the existing zero-ETL integrations with Amazon Redshift, this solution reduces operational complexity while enabling you to derive immediate insights from your operational data. Amazon Aurora PostgreSQL zero-ETL integration with Amazon SageMaker is now available in the US East (N. Virginia), US East (Ohio), US West (Oregon), Canada (Central), South America (Sao Paulo), Asia Pacific (Hong Kong), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Asia Pacific (Seoul), Europe (Frankfurt), Europe (Ireland), Europe (London), and Europe (Stockholm) AWS Regions. To learn more, visit What is zero-ETL. To begin using this new integration, visit the zero-ETL documentation for Aurora PostgreSQL.
Quelle: aws.amazon.com

AWS SAM CLI adds Finch support, expanding local development tool options for serverless applications

AWS Serverless Application Model Command Line Interface (SAM CLI) now supports Finch as an alternative to Docker for local development and testing of serverless applications. This gives developers greater flexibility in choosing their preferred local development environment when working with SAM CLI to build and test their serverless applications. Developers building serverless applications spend significant time in their local development environments. SAM CLI is a command-line tool for local development and testing of serverless applications. It allows you to build, test, debug, and package your serverless applications locally before deploying to AWS Cloud. To provide the local development and testing environment for your applications, SAM CLI uses a tool that can run containers on your local device. Previously, SAM CLI only supported Docker as the tool for running containers locally. Starting today, SAM CLI also supports Finch as a container development tool. Finch is an open-source tool, developed and supported by AWS, for local container development. This means you can now choose between Docker and Finch as your preferred container tool for local development when working with SAM CLI. You can use SAM CLI to invoke Lambda functions locally, test API endpoints, and debug your serverless applications with the same experience you would have in the AWS Cloud. With Finch support, SAM CLI now automatically detects and uses Finch as the container development tool when Docker is not available. You can also set Finch as your preferred container tool for SAM CLI. This new feature supports all core SAM CLI commands including sam build, sam local invoke, sam local start-api, and sam local start-lambda. To learn more about using SAM CLI with Finch, visit the SAM CLI developer guide. 
Quelle: aws.amazon.com

Amazon WorkSpaces Core Managed Instances is now available in 5 additional AWS Regions

AWS today announced Amazon WorkSpaces Core Managed Instances availability in US East (Ohio), Asia Pacific (Malaysia), Asia Pacific (Hong Kong), Middle East (UAE), and Europe (Spain), bringing Amazon WorkSpaces capabilities to these AWS Regions for the first time. WorkSpaces Core Managed Instances in these Regions is supported by partners including Citrix, Workspot, Leostream, and Dizzion. Amazon WorkSpaces Core Managed Instances simplifies virtual desktop infrastructure (VDI) migrations with highly customizable instance configurations. WorkSpaces Core Managed Instances provisions resources in your AWS account, handling infrastructure lifecycle management for both persistent and non-persistent workloads. Managed Instances provide flexibility for organizations requiring specific compute, memory, or graphics configurations. With WorkSpaces Core Managed Instances, you can use existing discounts, Savings Plans, and other features like On-Demand Capacity Reservations (ODCRs), with the operational simplicity of WorkSpaces – all within the security and governance boundaries of your AWS account. This solution is ideal for organizations migrating from on-premises VDI environments or existing AWS customers seeking enhanced cost optimization without sacrificing control over their infrastructure configurations. You can use a broad selection of instance types, including accelerated graphics instances, while your Core partner solution handles desktop and application provisioning and session management through familiar administrative tools. Customers will incur standard compute costs along with an hourly fee for WorkSpaces Core. See the WorkSpaces Core pricing page for more information. To learn more about Amazon WorkSpaces Core Managed Instances, visit the product page. For technical documentation and getting started guides, see the Amazon WorkSpaces Core Documentation.
Quelle: aws.amazon.com

Second-generation AWS Outposts racks now supported in the AWS Europe (Ireland) Region

Second-generation AWS Outposts racks are now supported in the AWS Europe (Ireland) Region. Outposts racks extend AWS infrastructure, AWS services, APIs, and tools to virtually any on-premises data center or colocation space for a truly consistent hybrid experience. Organizations from startups to enterprises and the public sector in and outside of Europe can now order their Outposts racks connected to this new supported region, optimizing for their latency and data residency needs. Outposts allows customers to run workloads that need low latency access to on-premises systems locally while connecting back to their home Region for application management. Customers can also use Outposts and AWS services to manage and process data that needs to remain on-premises to meet data residency requirements. This regional expansion provides additional flexibility in the AWS Regions that customers’ Outposts can connect to. To learn more about second-generation Outposts racks, read this blog post and user guide. For the most updated list of countries and territories and the AWS Regions where second-generation Outposts racks are supported, check out the Outposts rack FAQs page.
Quelle: aws.amazon.com

AWS Backup enhances backup plan management with schedule preview

AWS Backup now provides schedule preview for backup plans, helping you validate when your backups are scheduled to run. Schedule preview shows the next ten scheduled backup runs, including when continuous backup, indexing, or copy settings take effect.
Backup plan schedule preview consolidates all backup rules into a single timeline, showing how they work together. You can see when each backup occurs across all backup rules, along with settings like lifecycle to cold storage, point-in-time recovery, and indexing. This unified view helps you quickly identify and resolve conflicts or gaps between your backup strategy and actual configuration.
Backup plan schedule preview is available in all AWS Regions where AWS Backup is available. You can start using this feature automatically from the AWS Backup console, API, or CLI without any additional settings. For more information, visit our documentation. 
Quelle: aws.amazon.com

AWS Step Functions now supports Diagnose with Amazon Q

AWS announces AI-powered troubleshooting capabilities with Amazon Q integration in AWS Step Functions console. AWS Step Functions is a visual workflow service that enables customers to build distributed applications, automate IT and business processes, and build data and machine learning pipelines using AWS services. This integration brings Amazon Q’s intelligent error analysis directly into AWS Step Functions console, helping you quickly identify and resolve workflow issues. When errors occur in your AWS Step Functions workflows, you can now click the “Diagnose with Amazon Q” button that appears in error alerts and the console error notification area to receive AI-assisted troubleshooting guidance. This feature helps you resolve common types of issues including state machine execution failures as well as Amazon States Language (ASL) syntax errors and warnings. The troubleshooting recommendations appear in a dedicated window with remediation steps tailored to your error context, enabling faster resolution and improved operational efficiency. Diagnose with Amazon Q for AWS Step Functions is available in all commercial AWS Regions where Amazon Q is available. The feature is automatically enabled for customers who have access to Amazon Q in their region. To learn more about Diagnose with Amazon Q, see Diagnosing and troubleshooting console errors with Amazon Q or get started by visiting the AWS Step Functions console.
Quelle: aws.amazon.com

DeepSeek, OpenAI, and Qwen models available in Amazon Bedrock in additional Regions

Amazon Bedrock is bringing DeepSeek-V3.1, OpenAI open-weight models, and Qwen3 models to more AWS Regions worldwide, expanding access to cutting-edge AI for customers across the globe. This regional expansion enables organizations in more countries and territories to deploy these powerful foundation models locally, ensuring compliance with data residency requirements, reducing network latency, and delivering faster AI-powered experiences to their users. DeepSeek-V3.1 and Qwen3 Coder-480B are now available in the US East (Ohio) and Asia Pacific (Jakarta) AWS Regions. OpenAI open-weight models (20B, 120B) and Qwen3 models (32B, 235B, Coder-30B) are now available in the US East (Ohio), Europe (Frankfurt), and Asia Pacific (Jakarta) AWS Regions. Check out the full Region list for future updates. To learn more about these models visit the Amazon Bedrock product page. To get started, access the Amazon Bedrock console and view the documentation.
Quelle: aws.amazon.com

Amazon Bedrock simplifies access with automatic enablement of serverless foundation models

Amazon Bedrock now provides immediate access to all serverless foundation models by default for users in all commercial AWS regions. This update eliminates the need for manually activating model access, allowing you to instantly start using these models through the Amazon Bedrock console playground, AWS SDK, and Amazon Bedrock features including Agents, Flows, Guardrails, Knowledge Bases, Prompt Management, and Evaluations. While you can quickly begin using serverless foundation models from most providers, Anthropic models, although enabled by default, still require you to submit a one-time usage form before first use. You can complete this form either through the API or through the Amazon Bedrock console by selecting an Anthropic model from the playground. When completed through the AWS organization management account, the form submission automatically enables Anthropic models across all member accounts in the organization. This simplified access is available across all commercial AWS regions where Amazon Bedrock is supported. Account administrators retain full control over model access through IAM policies and Service Control Policies (SCPs) to restrict access as needed. For implementation guidance and examples on access controls, please refer to our blog.
Quelle: aws.amazon.com

Amazon EBS now supports Volume Clones for instant volume copies

Today, Amazon Web Services (AWS) announces the general availability of Volume Clones for Amazon Elastic Block Store (Amazon EBS), our high-performance block storage service. This new capability allows you to instantly create and access point-in-time copies of EBS volumes within the same Availability Zone (AZ), accelerating software development workflows and enhancing operational agility. Customers use Amazon EBS volumes as durable block storage attached to Amazon EC2 instances. With Amazon EBS Volume Clones, you can instantly create copies of volumes and access the copied volumes with single-digit millisecond latency. Amazon EBS Volume Clones enables rapid creation of test and development environments from production volumes, eliminating manual copy workflows. Additionally, Volume Clones integrates with the Amazon EBS Container Storage Interface (CSI) driver, simplifying storage management for containerized applications. Amazon EBS Volume Clones is available in all AWS Commercial Regions and AWS GovCloud (US) Regions. You can access Volume Clones through the AWS Console, AWS Command Line Interface (CLI), AWS SDKs, and AWS CloudFormation. This capability supports all EBS volume types and works for volume copies within the same account and AZ. For detailed pricing information, please visit the EBS pricing page. To explore how Volume Clones can accelerate your software development processes and improve operational efficiency, visit the AWS documentation.
Quelle: aws.amazon.com