Amazon Connect now enables you to define a custom terminating keypress when capturing DTMF (dual-tone multi frequency) inputs to provide greater flexibility when accepting multiple inputs during a call. Instead of the default “#” to signal the end of DTMF collection, you can now specify a different digit such as “*” or a series of digits such as “##” or “0000”. For example, this can be used to let your callers enter multiple inputs such as account number, amount, and stock name in a single stream of digits, rather than enter each input one at a time.
Amazon Detective is now generally available
Amazon Web Services Inc. (AWS) announced the general availability of Amazon Detective, a new service that makes it easy to analyze, investigate, and quickly identify the root cause of potential security issues or suspicious activities. Amazon Detective automatically collects log data from your AWS resources and uses machine learning, statistical analysis, and graph theory to build interactive visualizations that enable you to conduct faster and more efficient security investigations.
Amazon Managed Blockchain is now available in the Asia Pacific (Seoul) region
Amazon Managed Blockchain is a fully managed service that allows you to set up and manage a scalable blockchain network with just a few clicks. Amazon Managed Blockchain eliminates the overhead required to create the network, and automatically scales to meet the demands of thousands of applications running millions of transactions. Once your network is up and running, Amazon Managed Blockchain makes it easy to manage and maintain your blockchain network. It manages your certificates and lets you easily invite new members to join the network.
Amazon Managed Cassandra Service (preview) now enables you to label and categorize resources by using tags
Amazon Managed Apache Cassandra Service (MCS), a scalable, highly available, and managed Apache Cassandra–compatible database service, now enables you to label and categorize resources by using tags.
AWS Lambda now supports .NET Core 3.1
You can now develop AWS Lambda functions using .NET Core 3.1. This is the latest LTS release of .NET Core. It has new features like partial class support for razor components, support for shared queues, unwrapping of exceptions, and parameters passing to top-level components. Lambda functions written in .NET Core 3.1 run on Amazon Linux 2, the latest generation of Amazon Linux. You can read the .NET Core programming model in the AWS Lambda documentation to learn more about writing functions in .NET Core 3.1.
New Classroom Course: The Machine Learning Pipeline on AWS
We are excited to announce the launch of The Machine Learning Pipeline on AWS, a new four-day, instructor-led classroom course.
The AWS Toolkit for Visual Studio Code now supports AWS Step Functions
The AWS Toolkit for Visual Studio Code now supports AWS Step Functions, making it easier to create and visualize state machine based workflows without leaving your code editor.
AWS Storage Gateway adds audit logs for File Gateway to address enterprise compliance requirements
AWS Storage Gateway, now enables logging of end-user operations on files and folders for SMB file shares when using File Gateway. Logging allows you to comply with internal security policies, meet external compliance requirements, such as PCI, Sarbanes-Oxley, ISO27001, GDPR, and HIPAA, troubleshoot access errors, and analyze usage trends of your data.
Simplify cloud resource management with AWS Service Management Connector for Jira Service Desk
Today, we announce the AWS Service Management Connector for Jira Service Desk, formerly known as the AWS Service Catalog Connector. The AWS Service Management Connector for Jira Service Desk enables AWS Service Catalog, AWS Config, and AWS Systems Manager integration features on Jira projects. This capability simplifies cloud provisioning and resource management for Jira Service Desk administrators, and makes it easier for Jira Service Desk users to request AWS products, which can be any IT service that administrators want to make available for deployment on AWS and third-party resources.
AWS Elemental MediaStore now supports CloudWatch Metrics
Now, you can use Amazon CloudWatch to build dashboards and alarms for key metrics related to the ingest and delivery health of your live streams using AWS Elemental MediaStore as the origin. These metrics include request and response rates, server processing time, and latency across different percentiles. By using object grouping, you can declare a set of folders or paths as a single object group. The metrics within this object group are aggregated, and provide a channel-level view within your container. In addition to CloudWatch metrics, you can also leverage access logging provided by CloudWatch Logs .