Kategorie: Amazon AWS

Amazon RDS for PostgreSQL supports minor versions 18.2, 17.8, 16.12, 15.16 and 14.21

Amazon Relational Database Service (RDS) for PostgreSQL now supports the latest minor versions 18.2, 17.8, 16.12, 15.16, and 14.21. We recommend that you upgrade to the latest minor versions to fix known security vulnerabilities in prior versions of PostgreSQL, and to benefit from the bug fixes added by the PostgreSQL community. This release also includes new extension pg_stat_monitor that enables you to collect performance metrics and evaluate query performance insights in a unified view. 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 thousands of upgrades in phases, first to development environments before upgrading production systems. You can also use Amazon RDS Blue/Green deployments with physical replication to minimize downtime for minor version upgrades. Amazon RDS for PostgreSQL makes it simple to set up, operate, and scale PostgreSQL deployments in the cloud. See Amazon RDS for PostgreSQL Pricing for pricing details and regional availability. Create or update a fully managed Amazon RDS database in the Amazon RDS Management Console or by using the AWS Command Line Interface (CLI).
 
Quelle: aws.amazon.com

AI Troubleshooting in the AWS Support Center Console now supports 7 additional languages

AI troubleshooting in the AWS Support Center Console is now available in seven languages in addition to English: Japanese, Korean, Mandarin (Simplified), Mandarin (Traditional), Spanish, Portuguese, French. AWS Support Center Console is the primary interface where customers manage their AWS support experience, including creating and tracking support cases. Previously, AI troubleshooting capabilities were only available in English, creating a barrier for customers who prefer to work in their native language. With this launch, customers can now interact with AI-powered troubleshooting assistance in their preferred language. AWS Support’s AI troubleshooting helps customers resolve issues faster by providing immediate, contextual recommendations while they create a support case. For example, a Japanese developer troubleshooting an EC2 connectivity issue can now receive AI-generated insights and potential solutions in Japanese, reducing the time needed to understand and implement fixes. This capability is seamlessly integrated into the support experience and is available to all customers regardless of support plan, ensuring that language is no longer a barrier to self-service support. All customers regardless of support plan can access the experience by selecting a supported language in their console settings and clicking the “Try it now” link in the banner at the top of the AWS Support Center Console.
Quelle: aws.amazon.com

Amazon Bedrock increases default quotas for Anthropic’s Claude Sonnet 4.5 model in AWS GovCloud (US)

Amazon Bedrock has increased the default quotas for Anthropic’s Claude Sonnet 4.5 in AWS GovCloud (US-West) and AWS GovCloud (US-East) to 5,000,000 tokens per minute and 1,000 requests per minute, aligning with commercial AWS regions. This 25x increase enables customers to scale their AI workloads more effectively in regulated environments. Claude Sonnet 4.5 is Anthropic’s latest Sonnet model, excelling at building complex agents, coding, and long-horizon tasks while maintaining optimal speed and cost-efficiency for high-volume use-cases.
Quelle: aws.amazon.com

Amazon MSK now supports broker logs on Express Brokers

Amazon Managed Streaming for Apache Kafka (MSK) now supports broker logs for Express brokers at no additional cost. With access to broker logs, you can troubleshoot client connectivity and availability issues and get insights into broker behavior during rebalances or fail-overs. You can also easily integrate Kafka operational telemetry into existing observability pipelines using pre-built integrations with Amazon CloudWatch Logs and Amazon S3. Broker Logs are available for both new and existing Express brokers . You can enable them from the Amazon MSK Console or AWS CLI. To learn how to setup broker log delivery, see the Amazon MSK broker logs documentation. MSK Express brokers are designed to deliver up to three times more throughput per broker, scale up to 20 times faster, and reduce recovery time by 90 percent compared to Standard brokers running Apache Kafka. Express broker logs are supported in all AWS regions where express brokers are available. With Amazon MSK, you spend more time innovating on applications and less time managing clusters. Visit the Amazon MSK developer guide to get started. 
Quelle: aws.amazon.com

Amazon Aurora DSQL is now available in additional AWS Regions

Amazon Aurora DSQL is now available with single-Region clusters in Asia Pacific (Melbourne), Asia Pacific (Sydney), Canada (Central), and Canada West (Calgary). Aurora DSQL is the fastest serverless, distributed SQL database that enables you to build always available applications with virtually unlimited scalability, the highest availability, and zero infrastructure management. It is designed to make scaling and resilience effortless for your applications and offers the fastest distributed SQL reads and writes. With this launch, Aurora DSQL is available in the following AWS Regions: US East (N. Virginia), US East (Ohio), US West (Oregon), Canada (Central), Canada West (Calgary), Asia Pacific (Melbourne), Asia Pacific (Sydney), Asia Pacific (Osaka), Asia Pacific (Tokyo), Asia Pacific (Seoul), Europe (Ireland), Europe (London), Europe (Frankfurt), and Europe (Paris). Get started with Aurora DSQL for free with the AWS Free Tier. To learn more, visit the Aurora DSQL webpage and documentation.
Quelle: aws.amazon.com

Amazon Connect launches auto-accept for tasks, chats, and emails

Amazon Connect now supports the ability to configure agents with auto-accept settings for chat, tasks, emails, and callbacks. When auto-accept is enabled, incoming contacts are automatically connected to available agents instead of waiting on the agent to manually accept or reject each contact, ensuring that customers receive timely assistance. Previously, these settings were available only for inbound voice contacts. You can now enable these settings at the channel level for each agent to further optimize how agents spend their time. For example, you could choose to enable auto-accept for tasks while keeping auto-accept disabled for voice calls to ensure that the agent is connected to a voice call only once they indicate they are ready.
Quelle: aws.amazon.com

Amazon Connect launches after contact work timeout configuration for tasks, chats, and emails

Amazon Connect now supports the ability to configure agents with after contact work timeout settings for chat, tasks, emails, and callbacks. After contact work timeouts improve agent efficiency by time-boxing the amount of time each agent can spend doing after contact work for a contact, before being automatically set back to a ready state so they can be offered another contact. You can now enable these settings at the channel level for each agent to further optimize how agents spend their time. For example, you could choose to enable a shorter ACW timeout for emails while maintaining a longer ACW timeout for voice contacts to give agents a cool-down period between phone calls to prepare for the next customer interaction.
Quelle: aws.amazon.com

AWS Payment Cryptography Achieves Cartes Bancaires Approval

Today, AWS Payment Cryptography has become one of the first cloud-based payment cryptography services to obtain approval from Groupement des Cartes Bancaires (CB), France’s national card payment network. This CB approval, combined with existing compliance credentials, enables customers to run payment workloads in AWS while helping customers maintain CB compliance. Organizations such as acquirers, payment facilitators, networks, switches, processors, and issuing banks that are moving workloads to the cloud can rely on AWS Payment Cryptography’s CB approval as part of their compliance frameworks. Organizations processing card payments typically require Hardware Security Modules (HSM) to perform cryptography in a compliant manner. AWS Payment Cryptography provides equivalent functionality in an elastic, scalable service, eliminating the operational burden of procuring and manage standalone payment HSMs. Customers can leverage the service’s shared responsibility model with PCI PIN, PCI P2PE, PCI 3DS, PCI DSS, SOC-2, CSA STAR and ISO27001 certifications as well as the additional CB approval. AWS Payment Cryptography is available in the following AWS Regions: Canada (Montreal), US East (Ohio, N. Virginia), US West (Oregon), Europe (Ireland, Frankfurt, London, Paris), Africa (Cape Town) and Asia Pacific (Singapore, Tokyo, Osaka, Mumbai, Hyderabad, Sydney). To start using the service, please download the latest AWS CLI/SDK and see the AWS Payment Cryptography user guide for more information including further compliance details.
Quelle: aws.amazon.com

Amazon Redshift now supports allocating extra compute for automatic optimizations

Amazon Redshift now supports allocating extra compute for automatic optimization features, known as autonomics. Database administrators managing Amazon Redshift workloads can now allocate additional resources for their clusters to enable autonomics even during periods of high user activity, eliminating the need to manually schedule optimizations such as Automatic Table Optimization (ATO), Automatic Table Sorting (ATS), Auto Vacuum, and Auto Analyze. This enhancement extends Amazon Redshift’s autonomics capabilities to automatically leverage extra compute resources, to run reliably without impacting user workloads. It also includes a cost control feature for provisioned clusters, allowing database administrators to limit the amount of resources available to autonomics. Additionally, the new SYS_AUTOMATIC_OPTIMIZATION system table enhances observability by providing detailed information on autonomics operations for both provisioned clusters and serverless workgroups. This feature is available in all AWS Regions where Amazon Redshift is supported. To learn more, see Allocating extra compute resources for automatic database optimization.
Quelle: aws.amazon.com

AWS HealthOmics introduces a Kiro Power and Kiro IDE extension for bioinformatics workflow development

AWS HealthOmics announces a Kiro Power and Kiro IDE extension to create, run, debug, and optimize HealthOmics workflows faster with AI agent-assisted development. With the HealthOmics extension for Kiro IDE, customers can create, modify, and analyze workflows in domain-specific languages including Nextflow and WDL directly in the Kiro interface. AWS HealthOmics is a HIPAA-eligible service that helps accelerate scientific breakthroughs at scale with fully managed bioinformatics workflows. Kiro Powers is a repository of curated and pre-packaged Model Context Protocol (MCP) servers, steering files, and agent hooks to accelerate specialized software development and deployment use cases. The Kiro Power for HealthOmics packages the HealthOmics MCP server with guidance, giving the Kiro agent expertise in HealthOmics workflow creation and optimization. The HealthOmics Kiro IDE extension provides syntax highlighting, code completion, and troubleshooting guidance, along with HealthOmics engine compatibility checking, performance optimization recommendations, automated run analysis with failure diagnostics, and workflow import/export capabilities. To get started, download and install the HealthOmics Kiro Power from https://kiro.dev/powers/ and HealthOmics Kiro IDE extension from Open VSX Registry.
Quelle: aws.amazon.com