AWS Service Catalog AppRegistry and AWS Systems Manager Application Manager now provide an end-to-end AWS application management experience. With this release, customers can use AppRegistry to create applications within their infrastructure as code, CI/CD pipelines, and post-provisioning processes, and use Application Manager to view application operational data and perform operational actions.
AQUA is now available for Amazon Redshift RA3.xlplus nodes
AQUA (Advanced Query Accelerator) for Amazon Redshift is now generally available for Amazon Redshift RA3.xlplus nodes.
Amazon ElastiCache now supports M6g and R6g Graviton2-based instances in additional regions
Amazon ElastiCache for Redis and Memcached now supports Graviton2 M6g and R6g instance families in additional regions: South America (Sao Paulo), Asia Pacific (Hong Kong, Seoul), Europe (London, Stockholm), North America (Montreal), US East (GovCloud US East), US West (GovCloud US West), and mainland China (Ningxia, Beijing). Customers choose Amazon ElastiCache for workloads that require blazing-fast performance with sub-millisecond latency and high throughput. Now, with Graviton2 M6g and R6g instances, customers can enjoy up to a 45% price/performance improvement over previous generation instances. Graviton2 instances are now the default choice for Amazon ElastiCache customers.
Amazon Connect Customer Profiles adds product purchase history to personalize customer interactions
Amazon Connect Customer Profiles now supports out-of-the-box integration with product purchase history from Salesforce . When a customer calls or messages a contact center for service, Amazon Connect Customer Profiles equips contact center agents with the customer information they need to deliver personalized customer service and resolve issues quickly. Customer Profiles helps make it simple to bring together customer information (e.g., name, address, phone number, contact history, purchase history, open issues) from multiple applications into a unified customer profile, delivering the profile directly to the agent as soon as they begin interacting with the customer. If an agent wants to understand previous interactions to service a customer, they can visit Contact Trace Record (CTR) details page by clicking “CTR Details ” to review information such as call categorization, call sentiments and transcripts. Customer Profiles can be used out of the box by agents or embedded in your existing agent application .
Amazon Macie adds support for selecting managed data identifiers
Amazon Macie now allows you to select which managed data identifiers to use when you create a sensitive data discovery job. This allows you to customize what data types you deem sensitive and would like Macie to alert on per specific data governance and privacy needs in your organization. When you create a job, choose from the growing list of managed data identifiers such as personally identifiable information (PII), financial information, or credential materials that you would like to target for each sensitive data discovery job you configure and run with Macie.
Amazon QuickSight Q is now generally available
AWS announces availability of Microsoft Windows Server 2022 images on Amazon EC2
AWS customers can now use managed Amazon Machine Images (AMIs) with Microsoft Windows Server 2022. With these AMIs, customers can launch Windows Server 2022 and take full advantage of the latest Windows features on AWS. Amazon EC2 makes launching and running Windows Server 2022 easy whether it is for testing and enabling new features in the software, or for scalable adoption of the latest capabilities on compute instances globally.
Amazon ElastiCache for Redis now supports auto scaling in 17 additional public regions
Amazon ElastiCache for Redis auto scaling is now generally available in all public AWS regions excluding AWS GovCloud (US) and AWS China (Beijing and Ningxia) Regions.
Now Use Lifecycle Configurations to Customize Amazon SageMaker Studio
Amazon SageMaker Studio is the first fully integrated development environment (IDE) for machine learning (ML). SageMaker Studio provides a single, web-based visual interface where you can perform all ML development steps required to prepare data, as well as build, train, and deploy models. With a single click, data scientists and ML developers can quickly spin up SageMaker Studio Notebooks for exploring datasets and building models. Now you can use lifecycle configurations to automate customizations for your Studio development environment.
Brussels To Outlaw Apple Charging Socket
What happens today in Brussels could mean that, by mid-decade, every iPhone sold in Europe will be sold in the U.K. Today the EC is to propose a law making all phones sold in the EU use a USB-C connector. The EC hopes to adopt the proposal next year and then member countries will have …
This story continues at Brussels To Outlaw Apple Charging Socket
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