Kategorie: Amazon AWS

AWS Secrets Manager console now supports custom input for AWS KMS keys

AWS Secrets Manager console now allows you to specify a custom customer managed AWS Key Management Service (KMS) key when creating secrets. You can now provide a KMS key Amazon Resource Name (ARN) directly in the console, in addition to selecting from the pre-populated list of KMS keys in your current account.
Previously, when creating a secret through the AWS Secrets Manager console, you could only select customer managed KMS keys from a dropdown list that displayed keys within the same AWS account. With this enhancement, you can now enter a KMS key ARN to use a key from a different account, aligning the console experience with the existing API capabilities. This simplifies cross-account encryption workflows and provides greater flexibility in managing your encryption keys across multiple accounts.
This feature is available in all AWS Regions where AWS Secrets Manager is available. To learn more about using customer managed KMS keys with AWS Secrets Manager, visit the AWS Secrets Manager documentation.
Quelle: aws.amazon.com

Partner Revenue Measurement now supports User Agent string for certain AWS services

Today, AWS announces the general availability of Partner Revenue Measurement User Agent string — a new capability that enables AWS Partners to measure AWS service consumption driven by their solutions using AWS APIs and SDKs. Partner Revenue Measurement allows Partners to better understand their AWS revenue impact and product consumption patterns. The User Agent string capability allows Partners to embed a unique product code from their AWS Marketplace listing as a user agent to quantify and measure the AWS revenue impact of that solution across certain services.  
Partners can now add a user agent (format APN_1.1/pc_<AWS Marketplace product-code>$) in their application to enable AWS service consumption measurement by solution across partner-managed and customer-managed accounts. Partners can also set an environment variable in their SDKs or configure a setting in their AWS shared configuration file to automatically apply the User Agent string to all AWS service calls. This method supports automated deployments across Python, Node.js, Java, Kotlin, and other AWS SDKs, by capturing attribution for API-driven workloads and complements Partner Revenue Measurement’s Resource Tagging and AWS Marketplace Metering integration capabilities.
Partner Revenue Measurement is generally available in all commercial regions. To learn more about User Agent string implementation, visit the User Agent implementation guide and services supported. To learn more about Partner Revenue Measurement capabilities, review the onboarding guide for more information.
Quelle: aws.amazon.com

Partner Revenue Measurement now supports AWS Marketplace Metering for certain AWS Marketplace products

Today, AWS announces the launch of Partner Revenue Measurement integration with AWS Marketplace Metering for Amazon Machine Image (AMI) and Machine Learning (ML) products listed in AWS Marketplace. Partner Revenue Measurement allows Partners to better understand their AWS revenue impact and product consumption patterns. The AWS Marketplace Metering capability automatically measures AWS service consumption when customers purchase and use AMI and ML products via AWS Marketplace.
Partners can now gain visibility into how their solutions impact Amazon Elastic Compute Cloud (Amazon EC2) and Amazon SageMaker AI service consumption across partner-managed and customer-managed accounts. This method complements Partner Revenue Measurement’s Resource Tagging and User Agent string capabilities by capturing attribution without requiring additional Partner implementation.
Partner Revenue Measurement is generally available in all commercial regions. To learn more about AWS Marketplace Metering, review the AWS Marketplace metering guide. To learn more about Partner Revenue Measurement capabilities, review the onboarding guide.
Quelle: aws.amazon.com

Announcing compute-optimized instance bundles for Amazon Lightsail

Amazon Lightsail now offers compute-optimized instance bundles with up to 72 vCPUs. The new instance bundles are available in 7 sizes with both IPv6-only and dual-stack networking types. All Lightsail blueprints are supported with compute-optimized instance bundles, including Linux and Windows operating system (OS) and application blueprints. You can create instances using the new bundles with pre-configured OS and application blueprints including WordPress, cPanel & WHM, Plesk, Drupal, Magento, MEAN, LAMP, Node.js, Ruby on Rails, Amazon Linux, Ubuntu, CentOS, Debian, AlmaLinux, and Windows.
The new compute-optimized instances enable you to run compute-intensive workloads that require high CPU. These high-performance instances deliver consistent, dedicated CPU performance ensuring your applications always have the full processing power they need. These new instance bundles are ideal for workloads such as batch processing, distributed analytics, high-performance web servers, scientific modeling, dedicated gaming servers, ad serving engines, video encoding, and CPU-intensive machine learning inference applications.
Amazon Lightsail is available in 15 AWS Regions including US East (N. Virginia), US West (Oregon), Europe (Frankfurt), Europe (London), Asia Pacific (Tokyo), and Asia Pacific (Jakarta). To get started, visit the Lightsail console. For pricing and other details, visit the Amazon Lightsail pricing.
Quelle: aws.amazon.com

AWS Deadline Cloud now supports configurable job scheduling modes for queues

Today, AWS Deadline Cloud announces support for configurable job scheduling modes, giving you control over how workers are distributed across jobs in a queue. AWS Deadline Cloud is a fully managed service that simplifies render management for computer-generated 2D/3D graphics and visual effects for films, TV shows, commercials, games, and industrial design. Previously, all available workers were assigned to the highest-priority, earliest-submitted job first, which could delay feedback on other submitted jobs. You can now choose from three scheduling modes when creating or updating a queue: priority FIFO (the existing default behavior), priority balanced (workers are distributed evenly across all jobs at the highest priority level), and weighted balanced (jobs are weighted based on configurable parameters including priority, error count, submission time, and rendering task count). Priority balanced and weighted balanced scheduling modes enable artists to get immediate feedback on their submissions without waiting for earlier jobs to complete. Configurable job scheduling modes are available in all AWS Regions where AWS Deadline Cloud is supported. To get started, visit the Deadline Cloud developer guide.
Quelle: aws.amazon.com

Amazon CloudWatch launches OTel Container Insights for Amazon EKS (Preview)

Amazon CloudWatch introduces Container Insights with OpenTelemetry metrics for Amazon EKS, available in public preview. Building on the existing Container Insights experience, this capability provides deeper visibility into EKS clusters by collecting more metrics from widely adopted open source and AWS collectors and sending them to CloudWatch using the OpenTelemetry Protocol (OTLP). Each metric is automatically enriched with up to 150 descriptive labels, including Kubernetes metadata and customer-defined labels such as team, application, or business unit. Curated dashboards in the Container Insights console present cluster, node, and pod health with the ability to aggregate and filter metrics by instance type, availability zone, node group, or any custom label. For deeper analysis, customers can write queries using the Prometheus Query Language (PromQL) in CloudWatch Query Studio. The CloudWatch Observability EKS add-on provides one-click installation through the Amazon EKS console, or can be deployed through CloudFormation, CDK, or Terraform. The add-on automatically detects accelerated compute hardware including NVIDIA GPUs, Elastic Fabric Adapters, and AWS Trainium and Inferentia accelerators. For existing customers of the add-on, CloudWatch supports publishing both OpenTelemetry and existing Container Insights metrics at the same time. Container Insights with OpenTelemetry metrics is available in public preview in US East (N. Virginia), US West (Oregon), Asia Pacific (Sydney), Asia Pacific (Singapore), and Europe (Ireland). There is no charge for OpenTelemetry metrics from Container Insights during preview. To get started, see the Container Insights with OpenTelemetry metrics for Amazon EKS.
Quelle: aws.amazon.com

Amazon ElastiCache Serverless now supports IPv6 and dual stack connectivity

Amazon ElastiCache Serverless now supports IPv6 and dual stack connectivity, expanding beyond the IPv4 connectivity that was previously available. This gives you greater flexibility in how your applications connect to your Serverless caches.
When creating an ElastiCache Serverless cache, you can now choose from three network type options — IPv4, IPv6, or dual stack. With dual stack connectivity, your cache accepts connections over both IPv4 and IPv6 simultaneously, making it ideal for migrating to IPv6 gradually while maintaining backward compatibility with applications connecting over IPv4. IPv6 connectivity enables you to use IPv6-only subnets with your Serverless caches, eliminating the need for IPv4 addresses and helping you meet compliance requirements for IPv6 adoption.
IPv6 and dual stack connectivity for ElastiCache Serverless is available in all AWS Regions, including the AWS GovCloud (US) Regions and the China Regions, at no additional charge. To learn more, visit the Amazon ElastiCache product page and Choosing a network type for serverless caches in the Amazon ElastiCache documentation.
Quelle: aws.amazon.com

Amazon CloudWatch now supports OpenTelemetry metrics in public preview

Amazon CloudWatch now supports native OpenTelemetry (OTel) metrics in public preview, enabling you to send metrics directly using the OpenTelemetry Protocol (OTLP) without custom conversion logic or additional tooling. You can now combine your custom OpenTelemetry metrics with AWS vended metrics from over 70 services and query them using PromQL — no additional agents or code changes required. With native OTel support, a team running microservices on Amazon EKS and on-premises servers can now send OTel metrics from both environments directly to CloudWatch. They can correlate application-level metrics like order processing latency from their on-premises services with EKS pod CPU utilization and Application Load Balancer request counts, then use PromQL to build unified dashboards and alarms that span their entire infrastructure. CloudWatch anomaly detection works with OTel metrics, automatically identifying unusual patterns without requiring you to set static thresholds. Query Studio, a new console experience for PromQL, lets you write queries, explore metrics, create alarms, and build dashboards directly in the CloudWatch console. Native OpenTelemetry metrics support is available in public preview in US East (N. Virginia), US West (Oregon), Asia Pacific (Sydney), Asia Pacific (Singapore), and Europe (Ireland). There is no charge for OpenTelemetry metrics or querying during preview. To learn more, see the Amazon CloudWatch OpenTelemetry documentation.
Quelle: aws.amazon.com

AWS Direct Connect announces 100G expansion in Auckland, New Zealand

Today, AWS announced the expansion of 100 Gbps dedicated connections at the existing AWS Direct Connect location in the Datacom Orbit DH6 data center near Auckland, New Zealand. You can now establish private, direct network access to all public AWS Regions (except those in China), AWS GovCloud Regions, and AWS Local Zones from this location. This is the second AWS Direct Connect location in New Zealand to provide 100 Gbps connections with MACsec encryption capabilities.
The Direct Connect service enables you to establish a private, physical network connection between AWS and your data center, office, or colocation environment. These private connections can provide a more consistent network experience than those made over the public internet.
For more information on the over 150 Direct Connect locations worldwide, visit the locations section of the Direct Connect product detail pages. Or, visit our getting started page to learn more about how to purchase and deploy Direct Connect.
Quelle: aws.amazon.com

Amazon CloudWatch expands auto-enablement to Amazon CloudFront logs and 3 additional resource types

Amazon CloudWatch now supports automatic enablement of Amazon CloudFront Standard access logs, AWS Security Hub CSPM finding logs, and Amazon Bedrock AgentCore memory and gateway logs and traces to CloudWatch Logs. Customers can set up enablement rules that automatically configure telemetry for both existing and newly created resources, ensuring consistent monitoring coverage without manual setup.
Enablement rules can be scoped to the organization, specific accounts, or specific resources based on resource tags to standardize telemetry collection. For example, a central security team can create a single rule to automatically send CloudFront access logs and Security Hub findings for all resources across their organization to CloudWatch Logs.
CloudWatch’s auto-enablement capability is available in all AWS commercial regions. Log ingestion will be billed according to CloudWatch Pricing.
Amazon CloudFront access logs and AWS Security Hub CSPM findings support organization-wide enablement rules. Bedrock AgentCore memory and gateway telemetry support account-level enablement rules. To learn more about enablement rules in Amazon CloudWatch, visit the Amazon CloudWatch documentation.
Quelle: aws.amazon.com