Kategorie: Amazon AWS

Amazon EKS now supports Kubernetes version rollback

Amazon Elastic Kubernetes Service (Amazon EKS) now supports Kubernetes version rollback, enabling you to revert to the previous Kubernetes minor version within 7 days if any issues arise after an upgrade. This provides an additional safety net for your upgrade workflow, allowing you to validate the new version under real production conditions and rollback if needed. You can initiate a rollback using the Amazon EKS console, AWS CLI, or AWS SDKs. Before proceeding, Amazon EKS evaluates your cluster rollback readiness insights that include automated checks covering API compatibility, version skew, add-on compatibility, cluster health, and more. For clusters running EKS Auto Mode, EKS automatically manages the rollback of worker nodes before reverting the control plane, honoring your configured disruption controls. Amazon EKS version rollback is available at no additional cost in all AWS Regions where Amazon EKS is available. To get started, see version rollback in the Amazon EKS User Guide.
Quelle: aws.amazon.com

AWS AppConfig launches managed experimentation tools for A/B testing

Today, AWS announces the general availability of experimentation tools in AWS AppConfig, a new capability that enables you to run A/B tests and feature experiments without building or managing separate experimentation infrastructure. Built on 25+ years of Amazon experimentation best practices, AWS AppConfig experimentation tools use AI-driven guidance to help you build robust experiments while providing exposure control and locked treatment allocations so you can make confident, data-driven decisions about what to ship to your customers.
Using AWS AppConfig experimentation tools, you can run A/B tests and multivariate experiments across your application stack, from UI changes and recommendation algorithms to AI model selections and prompt experiments. Define feature variations, target granular audiences using a rule builder, and set traffic allocation percentages through the AWS Management Console, CLI, API, or AWS CDK. AI-assisted experiment design can validate your setup against Amazon’s best practices, helping you build experiments with sufficient statistical power. Customers set up and run the experiment in AWS AppConfig, and then analyze results using Amazon CloudWatch or existing analytics tools. At the end of the experiment, you promote the winning treatment to production through a standard AWS AppConfig safe rollout. Experiments work across workloads on Amazon EC2, AWS Lambda, Amazon ECS, Amazon EKS, and on-premises servers through AWS AppConfig Agent.
Quelle: aws.amazon.com

Amazon Bedrock AgentCore now available in four additional AWS Regions

 Amazon Bedrock AgentCore is now available in four additional AWS Regions: Asia Pacific (Bangkok), Asia Pacific (Malaysia), Europe (Milan), and Europe (Spain). Amazon Bedrock AgentCore is the platform to build, connect, and optimize agents. It helps engineers ship agents fast with any framework and any model, connect them to enterprise systems and tools, and optimize them continuously, with security enforced at the infrastructure layer that agents can’t bypass.
With this expansion, customers in these regions can build and run agents closer to their end users with lower latency. AgentCore capabilities including agent runtime, identity and access control, policy management, session persistence, tool connectivity, and observability are available in these regions at launch.
For more information on AgentCore, visit the AgentCore product page or the AgentCore Developer Guide. To learn about pricing, visit AgentCore pricing. For region availability, visit Supported AWS Regions.
Quelle: aws.amazon.com

Amazon RDS announces Cross-Region Automated Backups in four additional AWS Regions

Cross-Region Automated Backup replication for Amazon RDS is now available in four additional AWS Regions. This launch allows you to setup automated backup replication between Mexico (Central) and Europe (Ireland) or US West (N. California); between Asia Pacific (Taipei) and Asia Pacific (Singapore) or Asia Pacific (Tokyo); between Asia Pacific (New Zealand) and Asia Pacific (Singapore), Asia Pacific (Sydney), or Asia Pacific (Melbourne); and between Asia Pacific (Thailand) and Asia Pacific (Singapore) or Asia Pacific (Jakarta) Regions.
Automated Backups enable recovery capability for mission-critical databases by providing you the ability to restore your database to a specific point in time within your backup retention period. With Cross-Region Automated Backup replication, RDS will replicate snapshots and transaction logs to the chosen destination AWS Region. In the event that your primary AWS Region becomes unavailable, you can restore the automated backup to a point in time in the secondary AWS Region and quickly resume operations. As transaction logs are uploaded to the target AWS Region frequently, you can achieve a Recovery Point Objective (RPO) of within the last few minutes.
You can setup Cross-Region Automated Backup replication with just a few clicks on the Amazon RDS Management Console or using the AWS SDK or CLI. Cross-Region Automated Backup replication is available on Amazon RDS for PostgreSQL, Amazon RDS for MariaDB, Amazon RDS for MySQL, Amazon RDS for Db2, Amazon RDS for Oracle, and Amazon RDS for Microsoft SQL Server. For more information, including instructions on getting started, read the Amazon RDS documentation.
Quelle: aws.amazon.com

AWS Partner Central now supports AWS Marketplace listings for co-selling

Today, AWS announces that partners can associate one or more AWS Marketplace solutions and product listings from their AWS Marketplace catalog directly to co-sell opportunities in AWS Partner Central. Previously, opportunities required partners to use solutions specially created for co-selling, which meant partners managed their solutions for the AWS Marketplace catalog and solutions for co-selling separately. Partners can now associate their existing AWS Marketplace listings with opportunities to track fulfillment more effectively.
When creating or editing an opportunity in AWS Partner Central in the AWS Console, Partners can select one of the following options: (1) AWS Marketplace solutions and products, (2) AWS Marketplace solutions only, (3) AWS Marketplace products only, or (4) Other. Partners can associate up to 10 AWS Marketplace Solutions and up to 10 AWS Marketplace Products with a single opportunity. This includes AWS Marketplace listings within AWS accounts that have an established subsidiary account connection. The same capability is available programmatically through the AWS Partner Central Selling API. To progress an opportunity to the Committed or Launched stage, an AWS Marketplace Solution, AWS Marketplace Product, or Partner Solution must be associated.
This capability is generally available in AWS Partner Central in the AWS Console. To learn more, review creating an opportunity and attach AWS Marketplace listings to ACE opportunities guides, or explore how to leverage the programmatic implementation option with the AWS Partner Central Selling API.
Quelle: aws.amazon.com

Amazon RDS Enhances IAM Database Authentication with Connection Rate Scaling

Amazon Relational Database Service (Amazon RDS) now offers dynamic connection scaling for IAM database authentication, allowing connection rates to scale with instance resources. IAM database authentication performance now scales with available instance resources, enabling enterprise workloads to leverage IAM authentication for high-volume connection patterns. The number of new IAM authentication requests your instance can handle depends on available resources and workload characteristics. For optimal performance, we recommend reusing IAM user or IAM assumed role principals to generate authentication tokens, or reusing the authentication tokens themselves, when possible. This update is available in all AWS Regions, including the AWS GovCloud (US) Regions, where IAM database authentication is supported for Amazon Aurora and Amazon RDS database engines including PostgreSQL, MySQL, and MariaDB. To learn more, visit the IAM database authentication documentation.
Quelle: aws.amazon.com

AWS CloudFormation and CDK accelerate development feedback loops with pre-deployment validation on all stack operations

AWS CloudFormation customers can now get immediate feedback on deployment errors in seconds, eliminating the need to wait through a full provision-and-rollback cycle to discover preventable failures. CloudFormation now runs pre-deployment validation on Create Stack and Update Stack operations, catching common deployment errors before resource provisioning begins. This accelerates development velocity across all deployment workflows, from manual iteration to CI/CD pipelines to AI agents provisioning infrastructure. Previously, pre-deployment validation was available during change set creation, covering property syntax errors, resource name conflicts, and S3 bucket emptiness constraints. With this release, the same validations now run automatically on Create Stack and Update Stack operations. Additionally, three new validation checks are now available as warnings during change set creation. Service quota limits validation warns when creating resources would exceed your account’s service quotas. AWS Config Recorder conflict detection warns when your template adds Config rules to an account that does not have Config recording enabled, or defines a Config Recorder in an account where one is already active. ECR repository delete readiness validation warns when an ECR repository targeted for deletion still contains images. When validation detects an issue, you can view errors using the DescribeEvents API with the operation ID, or in the CloudFormation console by navigating to your stack’s Events tab and clicking the operation ID (or the link in the banner or status reason column) to open the Operation view page, which opens directly on the Deployment validations tab. Each error includes the logical resource ID and property path, so you can pinpoint and fix the problem before any resources are provisioned. In CDK, both cdk deploy and cdk validate surface validation results with construct-level tracing in a unified report, so AI agents and automation tools can parse structured responses and self-correct immediately. Pre-deployment validation is enabled by default on all stack operations with no configuration required. If you need to skip validation for a specific operation, use the new DisableValidation parameter on CreateStack, UpdateStack and CreateChangeSet API calls, or the –disable-validation flag in the CLI. Visit the Validate stack deployments User Guide to learn more. This feature is available in all AWS Regions where CloudFormation is supported, excluding China. Refer to the AWS Region table for service availability details.
Quelle: aws.amazon.com

AWS CloudFormation and CDK express mode speeds up infrastructure deployments by up to 4x

AWS CloudFormation and CDK express mode reduces deployment time by up to 4x for developers and AI agents building infrastructure, based on internal benchmarks. Express mode completes stack operations when CloudFormation confirms resource configuration is applied, rather than waiting for extended stabilization checks such as traffic readiness, region propagation, and resource cleanup. This enables faster iteration cycles for developers and AI agents building infrastructure. When iterating on infrastructure in development environments, developers and AI agents need faster iteration cycles to build infrastructure incrementally. Previously, every deployment waited for full resource stabilization regardless of whether the workflow required it. For example, creating a CloudFront distribution required waiting 5-10 minutes for propagation to all edge locations before the deployment completed, even when the developer only needed the distribution domain name to continue. With express mode, deployments complete in seconds once configuration is applied, and propagation continues in the background. CloudFormation still processes resources in dependency order and handles dependent resource failures within the same stack. Express mode disables rollback by default, enabling immediate fix-and-retry without waiting for rollback operations. To get started, set –deployment-config ‘{“mode”: “EXPRESS”}’ when creating, updating, and deleting stacks or creating a change set through the AWS CLI, AWS SDKs, or the AWS Management Console. For AWS CDK users, activate express mode with cdk deploy –express. No template changes are required. Express mode works with all existing CloudFormation templates, and nested stacks. Visit the CloudFormation Express mode documentation to learn more. This feature is available in all AWS Regions where CloudFormation is supported. Refer to the AWS Region table for service availability details.
Quelle: aws.amazon.com

Amazon CloudWatch Logs enriches log events with AWS resource tags

Amazon CloudWatch Logs now enriches log events with resource tags, making it easier to filter, search, and analyze logs by the metadata that matters most to your organization, such as  team ownership, environment, cost center, or application name, without requiring changes to your logging instrumentation.
With tag enrichment, Amazon CloudWatch Logs adds resource tags directly to your log events at ingestion time. You can immediately use tags in log queries, to scope your analysis without building custom pipelines or manually adding context to your application logs. For example, you can quickly filter all logs from production resources owned by a specific team, or filter by cost center during an incident investigation.
Tag enrichment for logs is available in all commercial AWS Regions except Middle East (UAE), Middle East (Bahrain), and Israel (Tel Aviv). To get started, enable resource tags on telemetry in the Amazon CloudWatch Settings, or through the AWS Command Line Interface (AWS CLI), and AWS SDKs to use your existing AWS resource tags to enrich your log events. Tag enrichment is available for no additional cost. Learn more on the Amazon CloudWatch documentation page.
Quelle: aws.amazon.com

Announcing general availability of Amazon WorkSpaces for AI agents

Amazon WorkSpaces for agents is now generally available, enabling AI agents to securely access and operate desktop applications through managed WorkSpaces environments. Enterprises run critical business processes on desktop applications (ERP systems, CRMs, mainframes, and proprietary tools) where years of customization, undocumented logic, and strict compliance requirements make them too critical to abandon and costly to modernize. WorkSpaces for agentsnow gives AI agents a managed cloud workspace where they can see the screen and operate these applications the way humans do, without requiring application modernization or custom integrations.
WorkSpaces uses the same infrastructure for agents as organizations have trusted for over a decade to deliver secure, managed desktops at scale. Agents inherit the same identity controls, network isolation, and compliance boundaries as human users, so organizations gain automation without giving up governance. Organizations can automate workflows such as claims processing, patient record updates, trade settlement, and back-office operations. The service works with any agent framework using Model Context Protocol (MCP), and pricing scales based on active session time.
Since launching in Preview, customer and partner feedback has shaped new capabilities. MCP tool forwarding allows agents to interact with applications and the desktop operating system through direct MCP calls rather than using computer use tools, improving accuracy, reducing latency, and lowering cost. Real-time session control gives operators live visibility into agent activity with the ability to revoke access mid-session. Domain-joined fleet support lets agents operate under existing Active Directory identities, extending the same access policies and audit attribution that apply to employees.
To learn more, visit Amazon WorkSpaces for AI agents. To get started building, see the documentation and sample code on GitHub.  
Quelle: aws.amazon.com