AWS Snowcone now supports multicast streams, routing, load balancing, and other networking use cases by enabling instances on a Snowcone device to have direct access to an external network. By providing instances with layer 2 network access without any intermediary translation or filtering, customers gain increased flexibility over the network configuration of their Snowcone device along with improved network performance, enabling use cases that were previously not possible.
Amazon Connect CTI Adapter for Salesforce adds out-of-the-box chat user interface support to Salesforce Experience Cloud
The Amazon Connect Computer Telephony Integration (CTI) Adapter for Salesforce now enables you to embed the Amazon Connect out-of-the-box chat widget within Salesforce Experience Cloud (formerly Community Cloud). This chat widget enables customers using Salesforce Experience Cloud to interact with Amazon Connect agents. For example, when a customer is requesting help from the IT support website hosted on the help center in Experience Cloud and starts a chat, offering an end to end chat experience, without the need for technical skills to implement.
Announcing support for exporting data from AWS IoT SiteWise to Amazon S3
AWS IoT SiteWise is a managed service to collect, store, organize and monitor data from industrial equipment at scale. Today, we are announcing support for exporting your AWS IoT SiteWise data to Amazon S3. With this feature, you can configure AWS IoT SiteWise to export your equipment data to your industrial data lake in Amazon S3. Once your data is exported, you can leverage a host of other AWS services such as AWS IoT Analytics, Amazon Athena, Amazon SageMaker, and Amazon QuickSight, to perform analytics and build machine learning (ML) models. You can also join and augment your equipment data from AWS IoT SiteWise with other data sources in your data lake (such as from Enterprise Resource Planning systems) to get even richer insights that enable you to optimize your maintenance and operations activities.
AWS Batch ListJobs Filtering Enhancements
AWS Batch is a cloud-native batch scheduler that enables anyone – from enterprises, to scientists and developers – to easily and efficiently run batch jobs on AWS. Whether you have a few jobs or hundreds of thousands, AWS Batch dynamically provisions the optimal quantity and type of compute resources based on the volume and specific resource requirements of the work you submit. With AWS Batch, there is no need to install and manage batch computing software or server clusters that you use to run your jobs, allowing you to focus on analyzing results and solving problems. AWS Batch plans, schedules, and executes your batch computing workloads across AWS compute services and features, such as AWS Fargate, Amazon EC2, and Spot Instances.
Amazon Route 53 announces Route 53 Application Recovery Controller
Today, AWS announced the general availability of Amazon Route 53 Application Recovery Controller, a new capability in Route 53 that makes it easy for developers to continuously monitor their applications’ ability to recover from failures and control their recovery across AWS Regions, Availability Zones, and on-premises infrastructure. Amazon Route 53 is a highly available and scalable cloud Domain Name Service that routes end-user and application requests to internet applications. Application Recovery Controller triggers traffic failovers between redundant application copies, or replicas, running in separate AWS or on-premises locations. Application Recovery Controller also monitors AWS resource configurations and routing policies associated with your applications and alerts you when changes are made that affect the ability of your applications to recover using replicas.
Announcing support for JOIN operation in AWS IoT Analytics Data Stores
AWS IoT Analytics now supports JOIN operation on AWS IoT Analytics data stores, enabling customers to combine data from two or more AWS IoT Analytics data stores based on a common attribute between them. Customers can now create a AWS IoT SiteWise data backed AWS IoT Analytics data store and join it with other S3 backed AWS IoT Analytics data stores to discover insights about their industrial assets such as viewing properties and relationships between various AWS IoT SiteWise assets, run statistical queries on AWS IoT SiteWise and S3 data, and perform advanced analytics. You can use this feature to create an AWS IoT Analytics SQL query data set that uses a join operation (inner join, left, right and full outer join, self join and cross join ) to combine two or more customer managed AWS IoT Analytics data stores and AWS IoT SiteWise managed data stores on a join condition using attribute names that exist in both data stores.
FreeRTOS 202107.00 includes SNTP library for time information in IoT applications
FreeRTOS 202107.00 now includes the Simple Network Time Protocol (SNTP) client library to make it easier for developers to add time information in their FreeRTOS-based IoT applications. The SNTP client library, named coreSNTP, is used to synchronize clocks between a device and the cloud.
Amazon Lex announces support for UK Postal Code built-in slot type
Amazon Lex is a service for building conversational interfaces into any application using voice and text. With Amazon Lex, you can quickly and easily build sophisticated, natural language, conversational bots (“chatbots”), virtual agents, and IVR systems. Today, Amazon Lex launches UK Postal Code built-in slot type. You can now design bots to capture postal codes in the UK region. The postal codes extracted from user responses can then be used to fulfill user requests. For example, a retail chain may need to collect a caller’s postal code to provide the nearest store location and hours. With UK Postal Code built-in slot type, developers can easily capture the postal code and resolve it to a standardized format.
AWS MLOps Framework solution now supports Amazon SageMaker model registry and AWS Organizations Delegated Administrator Account to improve ML model management and governance
AWS Solutions has updated the AWS MLOps Framework, an AWS Solutions Implementation that streamlines the pipeline deployment process and enforces architecture best practices for machine learning (ML) model productionization. This solution addresses common operational pain points that customers face when adopting multiple ML workflow automation tools.
AWS Single Sign-On is now available in the Europe (Paris) region
AWS Single Sign-On (SSO) is now available in the Europe (Paris) region. For a full list of the regions where AWS SSO is available, see the AWS Regional Services List.