AWS Database Migration Service (AWS DMS) has expanded functionality by adding support for Amazon DocumentDB 4.0 as a source. Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. As a document database, Amazon DocumentDB makes it easy to store, query, and index JSON data. Using AWS DMS, you can now perform live migrations from Amazon DocumentDB 4.0 clusters to any AWS DMS supported targets with minimal downtime.
Amazon Virtual Private Cloud (VPC) Now supports Tag on Create for Elastic IP addresses
You can now add tags to your Virtual Private Cloud (VPC) Elastic IP addresses while creating the resource. Tags are simple key-value pairs that you can assign to Elastic IP addresses to easily organize, search, identify, and control access using Identity and Access Manager (IAM) policies. By tagging at the time of creation you can eliminate the need to run custom tagging scripts after Elastic IP addresses creation.
PartiQL for DynamoDB now is supported in 23 AWS Regions
PartiQL —a SQL-compatible query language—for Amazon DynamoDB is now supported in the following 23 AWS Regions: US East (N. Virginia), US East (Ohio), US West (Oregon), US West (N. California), Canada (Montreal), South America (Sao Paulo), Europe (Ireland), Europe (Frankfurt), Europe (London), Europe (Milan), Europe (Paris), Europe (Stockholm), Africa (Cape Town), Asia Pacific (Hong Kong), Asia Pacific (Mumbai), Asia Pacific (Osaka-Local), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), China (Beijing), China (Ningxia), and Middle East (Bahrain).
Now launch Amazon SageMaker Studio Notebooks backed by Spark in Amazon EMR
Amazon SageMaker Studio is the first fully integrated development environment (IDE) for machine learning. With a single click, data scientists and developers can quickly spin up SageMaker Studio notebooks to explore and prepare datasets to build, train and deploy machine learning models in a single pane of glass. Amazon EMR is a web service that makes it easy to quickly and cost-effectively process vast amounts of data. Starting today, customers can use Studio notebooks to easily and securely connect to Amazon EMR clusters and prepare vast amounts of data for analysis and reporting, model training, or inference.
You now can use PartiQL with NoSQL Workbench to query, insert, update, and delete table data in Amazon DynamoDB
You now can use PartiQL with NoSQL Workbench to run SQL-compatible queries on your DynamoDB data. PartiQL makes it easier to interact with DynamoDB, and now you can use PartiQL to query, insert, update, and delete table data by using NoSQL Workbench.
AWS Snow Family now supports the Amazon Linux 2 operating system
AWS Snow Family now supports the Amazon Linux 2 operating system, enabling you to run your Amazon Linux 2-based workloads at the edge on AWS Snowcone, AWS Snowball Edge Compute Optimized, and AWS Snowball Edge Storage Optimized devices. Amazon Linux 2 provides a secure, stable, and high performance execution environment to develop and run cloud and enterprise applications. With Amazon Linux 2 , you get an application environment that offers long term support with access to the latest innovations in the Linux ecosystem. Amazon Linux 2 is provided at no additional charge.
AWS Pricing Calculator now supports Windows Server and SQL Server workload cost estimates
AWS Pricing Calculator now supports Windows Server and SQL Server workload compute cost estimates. The workload estimate now accounts for Microsoft licensing. The Windows Server and SQL Server on Amazon EC2 calculator provides a selection of licensing options such as AWS-provided licenses with License Included (LI) offerings and customers’ existing licenses with bring your own license (BYOL) offerings for optimal cost savings. It also identifies suitable cloud tenancy and a cost-saving pricing model, based on licensing and infrastructure inputs.
Amazon Connect CTI Adapter for Salesforce now supports Contact Lens
The Amazon Connect Computer Telephony Integration (CTI) Adapter for Salesforce v5.9 now supports automatically adding transcripts and insights from Contact Lens for Amazon Connect to customer records and cases in Salesforce Service Cloud. Amazon Connect customers have enjoyed being able to gain valuable insights from their call recordings such as customer sentiment, agent sentiment, sentiment change, key phrase detection, categorization tagging, and more simply by enabling Contact Lens in their contact flows. With the v5.9 release of the Amazon Connect CTI adapter for Salesforce, Connect users can now deliver those same insights, including the full call transcript, directly to the end-customer’s record or case history in Salesforce. There are no technical skills required, users of the CTI adapter simply make the configuration choice to enable this feature and a transcript and insights will be delivered to the customer’s Salesforce environment every time a call is completed and the recording is analyzed by Contact Lens.
Amazon Connect now supports sharing attachments in chat
You can now send attachments directly through Amazon Connect Chat, making it easier than ever to resolve your customers’ support needs. For example, an agent can send a copy of a recent hotel invoice or a customer can share a photo of a damaged product. Attachments are included in the chat transcript, to help ensure the full context from the conversation is available if a contact is transferred to another agent. The files are also stored in your S3 bucket to allow access from other systems such as customer relationship management or case management systems. You can turn attachments on in the AWS console with a couple of clicks.
Announcing the General Availability of Amazon Corretto 11 for Linux on ARM32 and for Windows on x86 (32-bit)
Amazon Corretto11 on ARM32 for Linux Platforms and x86 (32-bit) on Windows are now Generally Available. With our ARM32 build, you can run Corretto 11 on Linux distributions on 32bit ARMv7 hardware. Our x86 on Windows build will run on the same supported versions of Windows and will allow usage of 32-bit libraries. These are full-featured, fully supported JDK11 builds. You can report any issues on our GitHub repo at https://github.com/corretto.