Kategorie: Amazon AWS

Amazon ECS Express Mode is now available in AWS GovCloud (US) Regions

Amazon Elastic Container Service (Amazon ECS) Express Mode is now available in the AWS GovCloud (US-East) and AWS GovCloud (US-West) Regions. ECS Express Mode empowers developers to rapidly launch containerized applications, including web applications and APIs, making it easy to orchestrate and manage cloud architecture while maintaining full control over infrastructure resources.
Every Express Mode service automatically receives an AWS-provided domain name, making your application immediately accessible without additional configuration. Applications using ECS Express Mode incorporate AWS operational best practices, serve either public or private HTTPS requests, and scale in response to traffic patterns. ECS Express Mode automatically consolidates up to 25 services behind a single Application Load Balancer, using intelligent rule-based routing to maintain isolation between services. All resources provisioned by ECS Express Mode remain fully accessible in your account, ensuring you never sacrifice control or flexibility. As your application requirements evolve, you can directly access and modify any infrastructure resource, leveraging the complete feature set of Amazon ECS and related services without disruption to your running applications.
To get started, provide your container image and ECS Express Mode deploys your application and auto-generates a URL. ECS Express Mode is available at no additional charge, you pay only for the AWS resources created to run your application. To deploy, use the Amazon ECS Console, SDK, CLI, CloudFormation, CDK, and Terraform. For more information, see the AWS News blog, or the documentation.
Quelle: aws.amazon.com

Amazon Route 53 Resolver DNS Firewall now supports Palo Alto Networks Advanced DNS Security (Preview)

Amazon Web Services announces the preview of Palo Alto Networks (PANW) Advanced DNS Security on Amazon Route 53 Resolver DNS Firewall. Security administrators can now enforce DNS threat protections from Palo Alto Networks directly on Route 53 DNS Firewall rules, without deploying separate firewalls or modifying VPC configurations — by subscribing to PANW from the DNS Firewall console through the embedded AWS Marketplace widget. With this launch, you can enforce DNS threat protections from Palo Alto Networks by deploying one or more security categories including Command and Control, Malware, Phishing, Newly Registered Domains, and more, directly within the DNS Firewall rule creation workflow. You can apply these protections for your DNS query traffic from Amazon VPCs and hybrid-cloud, forwarded via Route 53 Resolver Endpoints, providing unified DNS threat protection across AWS and on-premises environments. This integration complements AWS-managed domain lists with Palo Alto Networks’ threat intelligence, including fast-flux protection, DNS tunneling detection, DNS rebinding protections, and DGA detection. It simplifies security operations by eliminating the need to deploy separate PANW firewalls per VPC or account, and supports multi-account management through AWS Resource Access Manager (RAM), Route 53 Profiles, and AWS Firewall Manager. Customers gain centralized visibility through AWS Security Hub findings and query logs stored in Amazon S3, Amazon Data Firehose, or Amazon CloudWatch Logs. Palo Alto Networks Advanced DNS Security on Route 53 DNS Firewall is available in preview in the following AWS Regions: US East (Ohio), US West (N. California), Europe (London), Europe (Frankfurt), Asia Pacific (Tokyo), Asia Pacific (Mumbai), Asia Pacific (Singapore), and Africa (Cape Town). DNS Firewall Advanced customers can add PANW rules to existing rule groups at no additional DNS Firewall charge, and the Palo Alto Networks Advanced DNS Security Marketplace subscription is free during preview. To get started, see the Route 53 DNS Firewall documentation. To view Route 53 pricing, visit the Route 53 pricing page. To learn more about the AWS Marketplace listing and pricing for PANW Advanced DNS Security, see here.
 
Quelle: aws.amazon.com

SageMaker AI now supports serverless fine-tuning for NVIDIA Nemotron models

Amazon SageMaker AI now supports serverless model customization for NVIDIA Nemotron 3 Nano model using supervised fine-tuning (SFT) and reinforcement fine-tuning (RFT). This is a popular open-weight model from NVIDIA with 30B total parameters. In addition to deploying this model on SageMaker AI, you can now adapt it to your specific domains and workflows.
Model customization enables you to tailor foundation models with your proprietary data, whether that’s improving accuracy on domain-specific tasks, aligning outputs with your organization’s tone, or enhancing performance on new tasks using your labeled data. With serverless customization, SageMaker AI handles all infrastructure provisioning and training orchestration, so you can focus on your data and evaluation rather than cluster management, and only pay for what you use. Serverless model customization for NVIDIA Nemotron 3 Nano on SageMaker AI is available in US East (N. Virginia), US West (Oregon), Asia Pacific (Tokyo), and Europe (Ireland). To get started, navigate to the Models page in Amazon SageMaker Studio to launch a customization job, or use the SageMaker Python SDK for programmatic access. To learn more, see the Amazon SageMaker AI model customization documentation.
Quelle: aws.amazon.com

Amazon Lightsail is now available in three additional AWS Regions

Starting today, Amazon Lightsail is available in three additional AWS Regions: Asia Pacific (Hong Kong), South America (São Paulo), and Europe (Spain). This expansion brings the power and simplicity of Lightsail to customers across new geographies in Asia, South America, and Europe. With this launch, customers in these geographical regions can now enjoy lower latency and better performance for their applications while meeting local data residency requirements. The new Regions provide access to Lightsail’s full range of features including instances that meet your compute needs, from general purpose to compute-optimized and memory-optimized bundles, as well as managed databases, container services, load balancers, and more, all with the same simple, predictable pricing that Lightsail customers love. Startups, small businesses, and developers in these regions can now run their applications closer to their end users with low latency. Lightsail is available in these AWS Regions: US East (Ohio, N. Virginia), US West (Oregon), Canada (Central), Europe (Frankfurt, Ireland, London, Paris, Spain, Stockholm), Asia Pacific (Hong Kong, Jakarta, Malaysia, Mumbai, Seoul, Singapore, Sydney, Tokyo), South America (São Paulo). To learn more about Regions and Availability Zones for Lightsail, please refer to the documentation. You can create Lightsail resources in these AWS Regions through the Lightsail Console, AWS Command Line Interface (CLI), and AWS SDKs.
Quelle: aws.amazon.com

Amazon EKS now supports local clusters on AWS Outposts with Amazon EC2 instance store

Today, AWS is expanding support for Amazon Elastic Kubernetes Service (EKS) local clusters on AWS Outposts to first-generation and second-generation AWS Outposts racks running Amazon EC2 instances that boot from Amazon EC2 instance store. AWS Outposts offers static stability for Amazon EC2 instances backed by EC2 instance store, and AWS is now extending that benefit to Amazon EKS local clusters customers. With local clusters, the entire Kubernetes control plane runs on AWS Outposts, supporting advanced data residency requirements and mitigating the risk of impact from temporary network disconnects to the cloud. Amazon EKS local clusters on AWS Outposts backed by Amazon EC2 instance store use an updated architecture that brings greater operational and feature-level parity with Amazon EKS clusters in the cloud. The Kubernetes control plane on your Outpost is managed by Amazon EKS in a service-owned account, so you don’t need to manage etcd backups or logging agents on control plane instances. New Kubernetes versions and Amazon EKS platform versions are made available for local clusters as they’re released for Amazon EKS in the cloud. Local clusters deployed with the updated architecture support Amazon EKS add-ons, IAM Roles for Service Accounts, EKS Pod Identity, OIDC authentication, access entries, and Bottlerocket worker nodes (in addition to Amazon Linux 2023). The updated architecture and new capabilities are generally available on AWS Outposts racks backed by Amazon EC2 instance store in all commercial AWS Regions that support AWS Outposts racks. AWS Outposts that boot Amazon EC2 instances from Amazon EBS will continue to use the original local clusters architecture. For more information, see local clusters in the Amazon EKS user guide.
Quelle: aws.amazon.com

Amazon Quick now integrates with Snowflake Cortex AI

Amazon Quick now integrates with Snowflake Cortex AI through the Model Context Protocol (MCP), enabling teams to query their Snowflake data and documents using natural language, and automate multi-step workflows directly within their Quick workspace. After setting up the connection using Snowflake’s managed MCP server with OAuth authentication, you can ask questions across structured data through Cortex Analyst and retrieve insights from unstructured documents through Cortex Search.
With this integration, you can build Flows in Quick that orchestrate Snowflake Cortex Agents to execute repeatable, governed workflows with consistent structured output. This is ideal for any multi-step process that spans structured data and unstructured documents. The same MCP connection is also accessible from Quick Chat and other Quick features. For example, users can ask ad-hoc follow-up questions or explore their Snowflake data conversationally alongside their automated flows. Quick intelligently routes relevant prompts to Snowflake Cortex AI and returns contextualized answers alongside enterprise knowledge stored in Quick Spaces, giving teams both the rigor of a structured process and the flexibility of a conversational interface.
The Snowflake Cortex AI integration with Amazon Quick is available in all AWS Regions where Amazon Quick is available.
Visit the Amazon Quick website to learn more and start your Quick free trial. To learn more about the Snowflake Cortex AI integration, read the blog. To learn more about Quick integrations, visit the integrations page.
Quelle: aws.amazon.com

Amazon EC2 High Memory U7i-8TB instances now available in AWS Europe (Paris) region

Amazon EC2 High Memory U7i-8TB instances (u7i-8tb.112xlarge) are now available in AWS Europe (Paris) region. U7i instances are part of the AWS 7th generation and are powered by custom fourth-generation Intel Xeon Scalable processors (Sapphire Rapids). U7i-8TB instances offer 8 TiB of DDR5 memory, enabling customers to scale transaction processing throughput in a fast-growing data environment. U7i instances offer up to 45% better price performance over existing U-1 instances.
U7i-8TB instances deliver 448 vCPUs and support up to 100 Gbps of Amazon EBS bandwidth for faster data loading and backups, 100 Gbps of network bandwidth, and ENA Express. U7i instances are ideal for customers running mission-critical in-memory databases like SAP HANA, Oracle, and SQL Server.
To learn more about U7i instances, visit the High Memory instances page.
Quelle: aws.amazon.com

Amazon EC2 Capacity Blocks for ML is now available in AWS GovCloud (US) Regions

Amazon EC2 Capacity Blocks for ML is now available in AWS GovCloud (US-West) and AWS GovCloud (US-East), enabling government and regulated-industry customers to reserve GPU capacity for machine learning workloads.
EC2 Capacity Blocks for ML allows you to reserve GPU instances in advance for a defined duration, giving you assured access to accelerated compute for short-duration pre-training, fine-tuning, rapid prototyping, and inference demand surges. Capacity Blocks deliver low-latency, high-throughput connectivity through colocation in Amazon EC2 UltraClusters.
You can reserve capacity up to eight weeks in advance for durations up to 6 months, in cluster sizes of one to 64 instances. Capacity Blocks can also be shared across multiple accounts using AWS Resource Access Manager (RAM), helping organizations coordinate ML infrastructure investments and keep reserved capacity in continuous use across workloads.
In AWS GovCloud (US), EC2 Capacity Blocks for ML is available on P6-B200 instances in AWS GovCloud (US-West), and P6-B200 and P6-B300 instances in AWS GovCloud (US-East). To get started, visit the EC2 Capacity Blocks documentation.
Quelle: aws.amazon.com

Amazon EC2 I7i instances now available in AWS Europe (Paris) Region

AWS is announcing the availability of high performance Storage optimized Amazon EC2 I7i instances in AWS Europe (Paris) region. Powered by 5th Gen Intel Xeon Processors with an all-core turbo frequency of 3.2 GHz, these new 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 offer compute and storage performance for x86-based storage optimized instances in Amazon EC2 ideal for I/O intensive and latency-sensitive workloads that demand very high random IOPS performance with real-time latency to access the small to medium size datasets. Additionally, torn write prevention feature support 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.
Quelle: aws.amazon.com

Amazon Aurora now supports PostgreSQL major version 18

Amazon Aurora PostgreSQL-Compatible Edition now supports PostgreSQL major version 18, starting with version 18.3. This release brings community improvements to query performance and database management, and introduces support for pg_roaringbitmap, a new extension that performs fast, memory-efficient set operations on large collections of integers. This enables use cases such as audience segmentation, tag-based filtering, and permission checks directly in the database without application-layer processing. PostgreSQL 18 introduces B-tree skip scans, which improve query performance, and reduce index storage and maintenance overhead. Major version upgrades now retain optimizer statistics, ensuring consistent query performance immediately after upgrading without waiting for statistics to be regenerated. Logical replication can now stream large transactions in parallel, reducing replication lag and keeping downstream systems more current. Please refer to the Amazon Aurora PostgreSQL release notes for details. You can upgrade your database using several options including RDS Blue/Green deployments, upgrade in-place, or restoring a snapshot. Learn more about upgrading your database instances in the Amazon Aurora User Guide. Aurora PostgreSQL 18.3 is available in all commercial AWS Regions and AWS GovCloud (US) Regions. Amazon Aurora is designed for unparalleled high performance and availability at global scale with full PostgreSQL and MySQL 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