SpaceXAI Grok 4.6 now available on Amazon Bedrock in AWS GovCloud (US)

Amazon Bedrock in AWS GovCloud (US) now supports SpaceXAI Grok 4.6, a frontier model built for coding, agentic tasks, and knowledge work. Grok 4.6 is SpaceXAI’s latest flagship model, built for long-running agents and ambitious interactive and visual work. It offers 500k context window and configurable reasoning efforts (low, medium, high, xhigh).
 
The model runs on the bedrock-runtime endpoint with support for the Responses, Chat Completions, and Converse APIs, and customers can access Grok 4.6 at scale with cross-Region inference routing requests across both AWS GovCloud (US) Regions. Grok 4.6 is also avialable via the bedrock-mantle endpoint in AWS GovCloud (US-East).  
 
To get started, review the model card for Grok 4.6  in the Amazon Bedrock User Guide.
Quelle: aws.amazon.com

Amazon Aurora MySQL 3.13 (compatible with MySQL 8.0.45) is generally available

Starting today, Amazon Aurora MySQL-Compatible Edition 3 (compatible with MySQL 8.0) supports MySQL 8.0.45, which includes community MySQL fixes and Aurora-specific improvements. For detailed information on this release, refer to Aurora MySQL 3 and MySQL 8.0.45 release notes. You can upgrade your databases during scheduled maintenance windows using automatic minor version upgrades. To simplify operations at scale, enable automatic minor version upgrades and use the AWS Organizations Upgrade Rollout Policy to orchestrate upgrades across your clusters in phases. You can perform minor version upgrades in-place or via snapshot restore. This release is supported in all AWS Regions where Aurora MySQL is available. Amazon Aurora is designed for high performance and availability at global scale with full MySQL compatibility. It provides scale-to-zero serverless compute, Aurora Global Database for multi-Region resilience, Aurora I/O-Optimized for improved price performance on I/O-intensive workloads, and built-in security and continuous backups. To get started, take a look at Aurora’s getting started page. 
Quelle: aws.amazon.com

Amazon CloudWatch agent adds support for journald logs

AWS announces support for collecting systemd journal (journald) logs with the Amazon CloudWatch agent. You can now configure the CloudWatch agent to read log entries directly from the systemd journal on Linux instances and send them to Amazon CloudWatch Logs, without first writing those logs to files on disk.
Many modern Linux distributions, including Amazon Linux 2023, use systemd journal as the primary logging system and no longer write traditional text log files such as /var/log/messages by default. Previously, collecting these logs with the CloudWatch agent required additional configuration to export the journal to files on disk. With this launch, the CloudWatch agent reads journald entries natively, preserving the structured metadata that journald captures, such as the systemd unit, priority, and process information. You can filter log entries using systemd units, journal priority levels, and journal field matches, and you can apply regular expression filters before logs are published to CloudWatch Logs. This helps you reduce noise and control log volume and costs.
Support for journald in the CloudWatch agent is available in all AWS Commercial Regions and GovCloud(US) regions. Standard Amazon CloudWatch Logs pricing applies for ingested logs. For more information, see Amazon CloudWatch Pricing page.
To get started, update to the latest version of the CloudWatch agent and add a journald section to your agent configuration file. To learn more, see Manually create or edit the CloudWatch agent configuration file in the Amazon CloudWatch User Guide.
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Amazon EC2 P6-B300 instances are now available in additional AWS Regions

Starting today, Amazon Elastic Cloud Compute (Amazon EC2) P6-B300 instances are available in Asia Pacific (Hyderabad) and South America (Sao Paulo) Regions. P6-B300 instances provide 8xNVIDIA Blackwell Ultra GPUs with 2.1 TB high bandwidth GPU memory, 6.4 Tbps EFA networking, 300 Gbps dedicated ENA throughput, and 4 TB of system memory.
P6-B300 instances deliver 2x networking bandwidth, 1.5x GPU memory size, and 1.5x GPU TFLOPS (at FP4, without sparsity) compared to P6-B200 instances, making them well suited to train and deploy large trillion-parameter foundation models (FMs) and large language models (LLMs) with sophisticated techniques. The higher networking and larger memory deliver faster training times and more token throughput for AI workloads.  
P6-B300 instances are now available in p6-b300.48xlarge size in the following AWS Regions: US West (Oregon), AWS GovCloud (US-East), US East (N. Virginia), Asia Pacific (Hyderabad, Seoul), and South America (Sao Paulo). To learn more about P6-B300 instances, visit Amazon EC2 P6 instances.
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AWS Transform now in scope for FedRAMP Class C

AWS Transform is now in scope for FedRAMP Class C (formerly Moderate baseline) in the US East (Ohio) Region. You can now use AWS Transform to build applications and run workloads that are subject to FedRAMP Class C compliance requirements.
The Federal Risk and Authorization Management Program (FedRAMP) is a US government-wide program that delivers a standard approach to the security assessment, authorization, and continuous monitoring for cloud products and services. AWS Transform is an agentic migration and modernization service designed to compress enterprise timelines from years to months — handling everything from large-scale infrastructure migrations to continuous tech debt reduction, without the manual handoffs and lost context that commonly stall these programs.
To learn more about FedRAMP, visit the AWS services in scope page. To learn more about AWS Transform, visit the webpage and documentation.
Quelle: aws.amazon.com