Schlagwort: cloud computing

Amazon Aurora serverless: Up to 30% better performance, smarter scaling, and still scales to zero

Amazon Aurora serverless — the autoscaling database that scales up to support your most demanding workloads and down to zero when you don’t need it — just got faster and smarter, with up to 30% better performance than the previous version and enhanced scaling that understands your workload. It’s especially well-suited for agentic AI applications, which typically have bursts of activity, long idle windows, and unpredictable patterns. Aurora serverless handles all of it automatically, scaling capacity with your agents rather than against them, and you only pay for what you actually use. When not in use, the database automatically scales down to zero to save cost. With improved performance and scaling, you can now use serverless for even more demanding workloads. The enhanced scaling algorithm enables you to efficiently run workloads where multiple tasks compete for resources, such as busy web applications and API services. These improvements are available in platform version 4 at no additional cost. All new clusters, database restores, and new clones will automatically launch on platform version 4. Existing clusters on platform version 1, 2, or 3 can upgrade directly to platform version 4 by using pending maintenance action, stopping and restarting the cluster, or using blue/green deployments. You can verify your cluster’s platform version in the AWS Console under instance configuration section or via the RDS API’s ServerlessV2PlatformVersion parameter. To learn more, read the blog. Aurora serverless is an on-demand, automatic scaling configuration for Amazon Aurora. For pricing details and Region availability, visit Amazon Aurora Pricing. To learn more, read the documentation, and get started by creating an Aurora serverless database using only a few steps in the AWS Management Console.
Quelle: aws.amazon.com

Amazon EC2 G7e instances now available in AWS Local Zones in Los Angeles

Today, AWS announces the general availability of Amazon Elastic Compute Cloud (Amazon EC2) G7e instances in AWS Local Zones in Los Angeles, California. G7e instances feature NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs and 5th generation Intel Xeon Scalable (Emerald Rapids) processors, bringing high-performance GPU compute closer to end users in Los Angeles. 
For creative workloads, you can use G7e instances to run studio workstation workloads with low-latency access to local storage, and post-production workloads including visual effects (VFX) editorial, color correction, and VFX finishing. G7e instances support enhanced real-time rendering on graphics engines and 2D/3D VFX composition software. For AI workloads, you can also use G7e instances to deploy Large Language Models (LLMs), inference, and agentic AI at the edge. 
To get started, opt-in to the Los Angeles Local Zone (us-west-2-lax-1b) from AWS Global View. You can enable G7e instances from the Amazon EC2 console, AWS Command Line Interface (AWS CLI), and AWS SDKs. G7e instances are available through On Demand and Savings Plans. To learn more, visit the AWS Local Zones Features page.
Quelle: aws.amazon.com

AWS Lambda functions can now mount Amazon S3 buckets as file systems with S3 Files

AWS Lambda now supports Amazon S3 Files, enabling your Lambda functions to mount Amazon S3 buckets as file systems and perform standard file operations without downloading data for processing. Built using Amazon EFS, S3 Files gives you the performance and simplicity of a file system with the scalability, durability, and cost-effectiveness of S3. Multiple Lambda functions can connect to the same S3 Files file system simultaneously, sharing data through a common workspace without building custom synchronization logic.
The S3 Files integration simplifies stateful workloads in Lambda by eliminating the overhead of downloading objects, uploading results, and managing ephemeral storage limits. This is particularly valuable for AI and machine learning workloads where agents need to persist memory and share state across pipeline steps. Lambda durable functions make these multi-step AI workflows possible by orchestrating parallel execution with automatic checkpointing. For example, an orchestrator function can clone a repository to a shared workspace while multiple agent functions analyze the code in parallel. The durable function handles checkpointing of execution state while S3 Files provides seamless data sharing across all steps.
To use S3 Files with Lambda, configure your function to mount an S3 bucket through the Lambda console, AWS CLI, AWS SDKs, AWS CloudFormation, or AWS Serverless Application Model (SAM). To learn more about how to use S3 Files with your Lambda function, visit the Lambda developer guide. 
S3 Files is supported for Lambda functions not configured with a capacity provider, in all AWS Regions where both Lambda and S3 Files are available, at no additional charge beyond standard Lambda and S3 pricing.
Quelle: aws.amazon.com

AWS Marketplace streamlines VAT payment for deemed supply transactions

AWS Marketplace now offers sellers a streamlined self-service process to submit Value Added Tax (VAT) invoices and receive automated VAT disbursements for deemed supply of digital services in the European Union, Norway, and the United Kingdom. Under the European Union, United Kingdom, and Norwegian VAT laws, when AWS Marketplace facilitates digital service sales, the law creates a deemed supply arrangement between sellers and the marketplace. To receive VAT payment, sellers are required to invoice the relevant AWS Europe, Middle East, and Africa (EMEA) SARL branch facilitating their transaction. This new capability provides sellers a unified experience within AWS Marketplace to submit VAT invoices and receive VAT payments, simplifying tax compliance under deemed supply arrangements. Sellers can now access the new experience through AWS Marketplace Management portal or AWS Partner Central, submit VAT invoices, track invoice status in real-time, and receive automated VAT payments. The system automatically validates invoices against mandatory fields and disburses VAT amounts once buyer payment is received. Sellers can consolidate multiple deemed supply transactions into a single invoice per period, provided they relate to the same AWS EMEA branch and currency. Sellers can also submit invoices before buyer payment is received, with the system automatically processing disbursements when all conditions are met. Enhanced reporting capabilities through the Seller Reports help sellers identify eligible transactions and reconcile disbursements for audit and financial reporting purposes. This launch eliminates the previous manual process and separate platform onboarding while reducing the administrative burden of tracking VAT invoices and payments. This capability is available for transactions where both seller and buyer AWS accounts are located in the same country when transacting via the AWS EMEA branch across 20 jurisdictions: Austria, Belgium, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Ireland, Italy, Luxembourg, Netherlands, Norway, Poland, Portugal, Romania, Spain, Sweden, and the United Kingdom. To learn more about VAT payment for deemed supply transactions and invoice submission requirements, visit the AWS Marketplace Seller Guide or VAT on Deemed Supply FAQs.
Quelle: aws.amazon.com

AWS IoT Greengrass v2.17 now supports non-root installation and introduces new light weight components

AWS IoT Greengrass v2.17 is now available, enabling you to run the edge runtime as a non-root user on Linux systems and deploy lighter-weight components that use significantly less memory. AWS IoT Greengrass is an Internet of Things (IoT) edge runtime and cloud service that helps customers build, deploy, and manage device software at the edge. With this release, you can install and run AWS IoT Greengrass v2.17 as a non-root user, making it easy for you to meet security requirements in enterprise and regulated environments where root access is prohibited. The release also adds an uninstall life cycle capability that automatically activates when you remove a component from a device, simplifying dependency management. Moreover, the release introduces the following new nucleus lite capabilities to reduce resource consumption at the edge:

Secure Tunneling lite component that uses just 4MB of memory, down from 36MB in the standard component.
Updated Fleet Provisioning component that supports Trusted Platform Module (TPM) 2.0 for cryptographic operations and secure device identity management.
PKCS#11 (Public Key Cryptographic Standard) interface that enables AWS IoT Greengrass nucleus lite component to easily authenticate with AWS IoT Core using keys and certificates stored in a Hardware Security Module (HSM).

AWS IoT Greengrass v2.17 is available in all AWS Regions where AWS IoT Greengrass is offered. To learn more about AWS IoT Greengrass v2.17 and its new features, visit the AWS IoT Greengrass documentation. Follow the Getting Started guide for a quick introduction to AWS IoT Greengrass.
Quelle: aws.amazon.com