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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 a

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.

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.

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 s

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 f

AWS Elastic Beanstalk now enables you to use GitHub Actions to automatically deploy web applications when you push code or configuration changes to your GitHub repository, streamlining your continuous integration and continuous deployment (CI/CD) pipeline for scalable web applications. GitHub Actions allow development teams to automate their software delivery process, enabling CI/CD workflows that automatically build, test, and deploy code changes whenever developers push updates to their repositories. Teams deploying to Elastic Beanstalk can now benefit from enhanced automation that handles deployment package creation, S3 uploads, version management, and environment monitoring. The new GitHub Action provides a simplified way to deploy applications to Elastic Beanstalk using declarative configuration in GitHub Actions workflows

AWS Lake Formation now enhances cross-account sharing, allowing you to share hundreds of thousands of tables across accounts. You can centralize permissions in Lake Formation for resources such as catalogs, databases, and tables for multi-account analytics environments that require fine-grained access controls at scale. You can share Data Catalog resources (databases, tables, and columns) with external IAM principals, AWS accounts, AWS Organizations, and organizational units (OUs). Lake Formation sets up a single AWS Resource Access Manager resource share for an unlimited number of tables to another account, eliminating previous resource association limits per resource type. To get started, upgrade to cross-account version 5 through the Lake Formation console or API. Any new cross-account permission grants will automatically use wildcard patterns in the AWS Resource Access Manager resource shares instead of individual resource associations. All existing cross-account shares

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C8i and C8i-flex instances are available in the Europe (Paris), Canada (Central), and US West (N. California) regions. These instances are powered by custom Intel Xeon 6 processors, available only on AWS, delivering the highest performance and fastest memory bandwidth among comparable Intel processors in the cloud. These C8i and C8i-flex instances offer up to 15% better price-performance, and 2.5x more memory bandwidth compared to previous generation Intel-based instances. They deliver up to 20% higher performance than C7i and C7i-flex instances, with even higher gains for specific workloads. The C8i and C8i-flex are up to 60% faster for NGINX web applications, up to 40% faster for AI deep learning recommendation models, and 35% faster for Memcached stores compared to C7i and C7i-flex. C8i-flex are the easiest way to get price performance benefits for a majority of compute intensive workloads like web and application

Amazon Relational Database Service (Amazon RDS) for MariaDB now supports community MariaDB minor versions 10.6.25, 10.11.16, 11.4.10, and 11.8.6. We recommend that you upgrade to the latest minor versions to fix known security vulnerabilities in prior versions of MariaDB, and to benefit from the bug fixes, performance improvements, and new functionality added by the MariaDB community. You can leverage automatic minor version upgrades to automatically upgrade your databases to more recent minor versions during scheduled maintenance windows. You can also leverage Amazon RDS Managed Blue/Green deployments for safer, simpler, and faster updates to your MariaDB instances. Learn more about upgrading your database instances, including automatic minor version upgrades and Blue/Green Deployments, in the

Amazon DocumentDB (with MongoDB compatibility) is now available in the Europe (Zurich) region adding to the list of available regions where you can use Amazon DocumentDB. Amazon DocumentDB is a fully managed, native JSON database that makes it simple and cost-effective to operate critical document workloads at virtually any scale without managing infrastructure. Amazon DocumentDB is designed to give you the scalability and durability you need when operating mission-critical MongoDB workloads. Storage scales automatically up to 128TiB without any impact to your application. In addition, Amazon DocumentDB natively integrates with AWS Database Migration Service (DMS), Amazon CloudWatch, AWS CloudTrail, AWS Lambda, AWS Backup and more. Amazon DocumentDB supports millions of requests per second and can be scaled out to 15 low latency read replicas in minutes with no application downtim