Cloud Computing Köln

Announcing New EC2 R8a Memory-Optimized Instances

AWS is announcing the general availability of new memory-optimized Amazon EC2 R8a instances. R8a instances, feature 5th Gen AMD EPYC processors (formerly code named Turin) with a maximum frequency of 4.5 GHz, deliver up to 30% higher performance, and up to 19% better price-performance compared to R7a instances. R8a instances deliver 45% more memory bandwidth compared to R7a instances, making these instances ideal for latency sensitive workloads. Compared to Amazon EC2 R7a instances, R8a instances provide up to 60% faster performance for GroovyJVM, allowing higher request throughput and better response times for business-critical applications. Built on the AWS Nitro System using sixth generation Nitro Cards, R8a instances are ideal for high performance, memory-intensive workloads, such as SQL and NoSQL databases, distributed web scale in-memory caches, in-memory databases, real-time big data analytics, and Electronic Design Automation (EDA) applications. R8a instances offer 12 sizes including 2 bare metal sizes. Amazon EC2 R8a instances are SAP-certified, and providing 38% more SAPS compared to R7a instances. R8a instances are available in the following AWS Regions: US East (N. Virginia), US East (Ohio), and US West (Oregon) regions. To get started, sign in to the AWS Management Console. Customers can purchase these instances via Savings Plans, On-Demand instances, and Spot instances. For more information visit the Amazon EC2 R8a instance page.
Quelle: aws.amazon.com

Amazon CloudWatch Application Signals adds AI-powered Synthetics debugging

Amazon CloudWatch Application Signals Model Context Protocol or MCP Server for Application Performance Monitoring (APM) now integrates CloudWatch Synthetics canary monitoring directly into its audit framework, enabling automated, AI-powered debugging of synthetic monitoring failures. DevOps teams and developers can now use natural language questions like ‘Why is my checkout canary failing?’ in compatible AI assistants such as Amazon Q, Claude, or other supported assistants to utilize the new AI-powered debugged capabilities and quickly distinguish between canary infrastructure issues and actual service problems, addressing the significant challenge of extensive manual analysis in maintaining reliable synthetic monitoring. The integration extends Application Signals’ existing multi-signal (services, operations, SLOs, golden signals) analysis capabilities to include comprehensive canary diagnostics. The new feature automatically correlates canary failures with service health metrics, traces, and dependencies through an intelligent audit pipeline. Starting from natural language prompts from users, the system performs multi-layered diagnostic analysis across six major areas: Network Issues, Authentication Failures, Performance Problems, Script Errors, Infrastructure Issues, and Service Dependencies. This analysis includes automated comparison of HTTP Archive or HAR files, CloudWatch logs analysis, S3 artifact examination, and configuration validation, significantly reducing the time needed to identify and resolve synthetic monitoring issues. Customers can then access these insights through natural language interactions with supported AI assistants. This feature is available in all commercial AWS regions where Amazon CloudWatch Synthetics is offered. Customers will need access to a compatible AI agent such as Amazon Q, Claude, or other supported AI assistants to utilize the AI-powered debugging capabilities. To learn more about implementing AI-based debugging for your synthetic monitoring, visit the CloudWatch Application Signals MCP Server documentation.
Quelle: aws.amazon.com

AWS Cloud WAN is now available in three more AWS Regions

Starting today, AWS Cloud WAN is available in the AWS Asia Pacific (Thailand), AWS Asia Pacific (Taipei) and AWS Asia Pacific (New Zealand) Regions. With AWS Cloud WAN, you can use a central dashboard and network policies to create a global network that spans multiple locations and networks, removing the need to configure and manage different networks using different technologies. You can use network policies to specify the Amazon Virtual Private Clouds, AWS Transit Gateways, and on-premises locations you want to connect to using an AWS Site-to-Site VPN, AWS Direct Connect, or third-party software-defined WAN (SD-WAN) products. The AWS Cloud WAN central dashboard generates a comprehensive view of the network to help you monitor network health, security, and performance. In addition, AWS Cloud WAN automatically creates a global network across AWS Regions by using Border Gateway Protocol (BGP) so that you can easily exchange routes worldwide. To learn more, please visit the AWS Cloud WAN product detail page.
Quelle: aws.amazon.com

Amazon OpenSearch Serverless now supports FIPS compliant endpoints

Amazon OpenSearch Serverless has added support for Federal Information Processing Standards (FIPS) compliant endpoints for Data Plane APIs in US East (N. Virginia), US East (Ohio), Canada (Central), AWS GovCloud (US-East), and AWS GovCloud (US-West). The service now meets the security requirements for cryptographic modules as outlined in Federal Information Processing Standard (FIPS) 140-3. Please refer to the AWS Regional Services List for more information about Amazon OpenSearch Service availability. To learn more about OpenSearch Serverless FIPS, see the documentation. 
Quelle: aws.amazon.com