Kategorie: Amazon AWS

AWS announces general availability of the next generation of AWS Resilience Hub

Today, AWS announces the general availability of the next generation of AWS Resilience Hub, a central location in the AWS console that helps platform engineering and site reliability teams assess and strengthen the resilience of their critical workloads running on AWS. This new update expands on AWS Resilience Hub’s existing experience for meeting resilience objectives by introducing a new application model, dependency discovery, generative AI-powered failure mode analysis, modular resilience policies, and organization-wide reporting.
With the next generation of Resilience Hub, teams model applications using a three-level hierarchy — systems, user journeys, and services — that reflects how these applications deliver business value. Through dependency discovery assessments, maintain up-to-date visibility into the AWS services, internal endpoints, and third-party endpoints that your services rely on. A generative AI-powered failure mode assessment analyzes your services against AWS Well-Architected best practices, the AWS Resilience Analysis Framework, and the organization’s resilience policies, generating prioritized, actionable recommendations. AWS Organizations integration enables central teams to define resilience policies and monitor posture across all accounts and regions from a single dashboard.
The next generation of the AWS Resilience Hub is available in the following AWS Regions: US East (N. Virginia), US East (Ohio), US West (Oregon), Canada (Central), Europe (Ireland), Europe (London), Europe (Frankfurt), Europe (Paris), Europe (Stockholm), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Asia Pacific (Seoul), and South America (São Paulo).
To get started, visit the AWS console. To learn more about the next generation of AWS Resilience Hub, see the product page, or visit the AWS News Blog. 
Existing AWS Resilience Hub customers can continue using their current experience and adopt the next generation of AWS Resilience Hub at their own pace. For guidance, see the migration user guide.
Quelle: aws.amazon.com

AWS IoT Core adds APIs for MQTT connection management

Today, AWS IoT Core launches two new MQTT connection management APIs, GetConnection and ListSubscriptions, enabling you to easily access MQTT client connection and subscription information for your Internet of Things (IoT) devices. These APIs help you troubleshoot connectivity issues, monitor client behavior, and audit connection patterns across your device fleet. The GetConnection API gives you visibility into an IoT device connection by retrieving detailed connection information, including connection status, MQTT session details, and optional socket-level data such as source and target IP addresses, ports, and client VPC endpoint ID, controlled via granular IAM policies. The ListSubscriptions API complements this by returning all topic subscriptions, including QoS levels for a client’s MQTT session, for connected and offline clients with persistent sessions. This enables you to validate and identify overlapping or unnecessary subscriptions that may impact solution performance. Together with the existing DeleteConnection API, these new APIs provide a comprehensive MQTT connection management experience.
These APIs are now available in all AWS regions where AWS IoT Core is supported. To learn more, visit the AWS IoT Core documentation and AWS IoT Core API reference guide.
Quelle: aws.amazon.com

Monitor AWS Budgets directly in Billing and Cost Management Dashboards with new Budgets widget

Today, AWS Billing and Cost Management (BCM) announces support for Budgets widgets in BCM Dashboards, giving you the flexibility to customize your cost management console with the views that matter most to your organization. You can now monitor AWS Budgets alongside Cost Explorer reports and Savings Plans and Reserved Instance coverage and utilization reports, all in a single, tailored dashboard.
Previously, reviewing budget performance required navigating to a separate console page. Now, finance teams and cloud administrators can add one or more Budgets widgets to any BCM Dashboard, displaying budget name, budgeted amount, actual spend, and forecasted amount. You can filter budgets by name, threshold, and budget type, directly within the widget, and choose which budgets appear on each dashboard, reducing the time spent switching between console pages and enabling faster budget monitoring across teams. Budget widgets are fully integrated with dashboard export capabilities, allowing you to include budget data in scheduled email reports or download it as CSV or PDF, making it easier to share budget status with stakeholders without manual data gathering. 
Budgets widgets for BCM Dashboards are available in all AWS commercial Regions at no additional charge. To learn more, visit our User Guide.
Quelle: aws.amazon.com

DynamoDB Streams now supports AWS PrivateLink for FIPS endpoints in AWS GovCloud (US) Regions

Amazon DynamoDB Streams now supports AWS PrivateLink for FIPS (Federal Information Processing Standard) endpoints in AWS GovCloud (US) Regions. DynamoDB Streams captures time-ordered sequences of item-level modifications in DynamoDB tables, enabling real-time data processing and event-driven architectures. This enhancement allows government agencies and organizations with federal compliance requirements to establish private connectivity between their VPCs and DynamoDB Streams FIPS endpoints without exposing traffic to the public internet.
This capability helps customers meet strict federal compliance and regulatory requirements while simplifying their network architecture. By keeping all traffic within the AWS network infrastructure, organizations can securely process real-time data streams, implement compliant change data capture (CDC) solutions, and build event-driven architectures that adhere to federal security standards. Government agencies operating in GovCloud regions can now leverage DynamoDB Streams for secure data streaming applications while maintaining the enhanced security and privacy that AWS PrivateLink provides.
AWS PrivateLink support for DynamoDB Streams FIPS endpoints is available in AWS GovCloud (US-East) and AWS GovCloud (US-West) Regions, as well as US East (N. Virginia), US East (Ohio), US West (N. California), US West (Oregon), Canada (Central), and Canada West (Calgary).
 To learn more, visit the Amazon DynamoDB Streams PrivateLink documentation and the AWS PrivateLink page.
Quelle: aws.amazon.com

The next generation of Amazon OpenSearch Serverless is now generally available

Today, AWS announced the general availability of the next generation of Amazon OpenSearch Serverless, a fully managed search and vector engine designed for customers building agents. The next generation of OpenSearch Serverless auto scales 20x faster than its predecessor and provisions resources in seconds to meet the demands of even the most unpredictable agentic workflows. With scale-to-zero and pay-per-usage pricing, customers can now save up to 60% compared to the cost of provisioning Opensearch clusters for peak loads. The next generation of OpenSearch Serverless introduces complete decoupling of compute and storage through a new shared storage layer. This means customers can scale compute up and down independently, reducing costs during low-traffic periods while maintaining instant readiness for traffic spikes. To simplify network connectivity, OpenSearch Serverless now offers two resource-based endpoints – a collection level endpoint and a regional endpoint which makes multi-VPC and on-premise connectivity straightforward using standard VPC APIs. The next generation of OpenSearch Serverless also launches with native integrations with AI development platforms including Vercel and Kiro, enabling developers to provision search infrastructure directly from their development environment using natural language commands. OpenSearch Serverless is now also part of OpenSearch Agent Skills that allows you to bring OpenSearch capabilities to your agents when using popular coding platfroms like Claude Code, Cursor and Codex. At GA, search and vector are the two available collection types. The next generation of OpenSearch Serverless is available today in all commercial AWS regions where Amazon OpenSearch Serverless is currently available. For pricing details about the next generation of OpenSearch Serverless, visit the pricing page. To learn more about the next generation of Amazon OpenSearch Serverless, see the marketing page, technical documentation and AWS News Blog. You can get started by visiting the technical launch blog that details all the new features launching in the next generation of Amazon OpenSearch Serverless.
Quelle: aws.amazon.com

Claude Opus 4.8 is now available on AWS

AWS  now offers Claude Opus 4.8 — Anthropic’s most capable generally available model to date — delivering meaningful advances across agentic coding, professional knowledge work, and long-running autonomous tasks for developers and enterprises building production AI applications.
Claude Opus 4.8 can perform longer autonomous runs, deeper reasoning, and consistency to be trusted with production work. For coding, the Opus 4.8 reads codebases like an engineer, plans before it edits, and holds context across long sessions in real repositories. For agentic tasks, it is better at finding paths around obstacles instead of stalling, recovering from its own errors, and knowing when to ask for help versus when to keep going. For knowledge work, it better synthesizes across long documents and complex sources, self-checks its output, and delivers structured deliverables that hold up to review.
Customers have two ways to access Claude Opus 4.8: Amazon Bedrock and Claude Platform on AWS.
Amazon Bedrock keeps your data within AWS infrastructure and provides access to Claude Opus 4.8 through a unified service with AWS-managed features like Guardrails, Knowledge Bases, and regional data residency. To learn more, see Amazon Bedrock documentation  and regional availability..
Claude Platform on AWS gives you direct access to Anthropic’s native platform experience and capabilities via the AWS Console. Build, test, and deploy with the same APIs, features, and console experience you’d get working with Anthropic directly, unified with AWS billing and authentication. To get started, see the Claude Platform on AWS documentation
Quelle: aws.amazon.com

Amazon Connect Customer expands generative AI-powered post-contact summaries to eight new languages

Amazon Connect Customer now supports generative AI-powered post-contact summaries in eight additional language families: Portuguese, French, Italian, German, Spanish, Chinese, Japanese, and Korean. Post-contact summaries also now support non-US variations of English, including British English, Australian English, and other regional locales, ensuring summaries reflect locally appropriate spelling and terminology.
Generative AI-powered post-contact summaries provide agents and managers with concise, structured overviews of customer conversations across voice, chat, and email channels, eliminating the need to read full transcripts. With this expansion, organizations can automatically generate summaries in the language of the conversation, helping agents complete after-contact work faster and enabling managers to review contacts across languages. For example, a global support organization can now generate post-contact summaries for calls handled in French, German, or Japanese, giving supervisors visibility into service quality across all regions.
The newly supported languages are available in all AWS Regions where Amazon Connect Customer post-contact summaries are available. To learn more, refer to View generative AI-powered post-contact summaries in the Amazon Connect Customer Administrator Guide. To learn more about Amazon Connect Customer, visit the Amazon Connect Customer website.
Quelle: aws.amazon.com

AWS Organizations emits CloudTrail events for account membership changes

AWS Organizations now automatically emits CloudTrail events to your management account whenever accounts join or leave your organization. These new events—AccountJoinedOrganization and AccountDepartedOrganization—provide security teams and cloud administrators with enhanced visibility into organizational membership changes, helping detect unauthorized activities and potential security incidents that previously could go unnoticed. 
The AccountJoinedOrganization event captures how an account joined an organization (Created or Invited) and the join timestamp, while the AccountDepartedOrganization event records how an account departed —Left for accounts that departed voluntarily, Removed for accounts removed by the management account, or  Cleaned for accounts that were permanently closed along with the departure timestamp. 
You can leverage these events to create CloudWatch alarms or Amazon EventBridge rules for real-time notifications, enabling rapid response to suspicious organizational changes. This capability supports critical use cases including fraud detection, compliance auditing, security monitoring, and incident investigation across your AWS environment.
Quelle: aws.amazon.com

Amazon EMR now supports Apache Spark 4.0.2 in general availability

Amazon EMR now supports Apache Spark 4.0.2 across all three deployment models. With Spark 4.0.2, you can build and maintain data pipelines more easily with ANSI SQL and VARIANT data types, enforce fine-grained access control (FGAC) at the row level or column level, strengthen compliance and governance frameworks with Apache Iceberg v3 table format, and deploy new real-time applications faster with enhanced streaming capabilities. With Spark 4.0.2, you can build data pipelines, making data engineering accessible to a broader range of users through standard ANSI SQL support, eliminating the need to learn Spark-specific syntax. Spark 4.0.2 natively supports JSON and semi-structured data through VARIANT data types, providing flexibility for handling diverse data formats. You can enforce fine-grained access control (FGAC) on both read and write operations for AWS Lake Formation registered tables in your Apache Spark jobs. Building on these security capabilities, Apache Iceberg v3 table format provides stronger transaction guarantees and tracks data lineage, creating the audit trails required for regulatory compliance. Enhanced streaming controls simplify management of complex stateful operations and improve monitoring, enabling you to deploy real-time applications for fraud detection, personalization, and other time-sensitive use cases faster.
Apache Spark 4.0.2 is available in all regions where EMR is available. If you are upgrading your existing EMR application, you can use Apache Spark upgrade agent to accelerate your upgrades. To learn more about Apache Spark 4.0.2 on Amazon EMR, visit the Amazon EMR release notes, or get started by creating an EMR application with Spark 4.0.2 from the AWS Management Console.
Quelle: aws.amazon.com

SageMaker Notebook Instances now support P5.4xl instance types

We are pleased to announce general availability of Amazon EC2 P5.4xl instances on SageMaker notebook instances.
Amazon EC2 P5.4xl instances are powered by NVIDIA H100 Tensor Core GPUs and deliver high performance in Amazon EC2 for deep learning (DL) and high performance computing (HPC) applications. They help you accelerate your time to solution by up to 4x compared to previous-generation GPU-based EC2 instances, and reduce cost to train ML models by up to 40%. Customers can use P5 instances for training and deploying complex large language models (LLMs) and diffusion models powering generative AI applications. These applications include question answering, code generation, video and image generation, and speech recognition.
Amazon EC2 P5.4xl instances are available on SageMaker notebook instances in the AWS US East (N. Virginia and Ohio), US West (Oregon), Asia Pacific (Mumbai, Tokyo, Jakarta) and South America (São Paulo) regions.
Visit developer guides for instructions on setting up and using JupyterLab and CodeEditor applications on SageMaker Studio and SageMaker notebook instances.
Quelle: aws.amazon.com