AWS Snowball now supports multicast streams, routing, load balancing, and other networking use cases by enabling instances on a Snowball 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 Snowball devices along with improved network performance, enabling use cases that were previously not possible. 

AWS CloudTrail now supports logging of data events for Amazon EBS direct APIs that customers can use to identify when their Amazon EBS snapshots are accessed using the ListSnapshotBlocks, ListChangedBlocks, GetSnapshotBlock, or PutSnapshotBlock APIs by users in their AWS account. These data events are delivered to an Amazon S3 bucket and Amazon CloudWatch Events, and help customers’ security and operations teams detect unauthorized access and take immediate action. Until now, customers could use management events logged in AWS CloudTrail to identify when EBS snapshots were created, copied, or shared with other AWS accounts. With this new capability, customers can also identify when users in their AWS account access Amazon EBS snapshots at the block level using EBS direct APIs.

The Amazon VPC Container Networking Interface (CNI) Plugin now supports running more pods per node on AWS Nitro based EC2 instance types. To achieve higher pod density, the VPC CNI plugin leverages a new VPC capability that enables IP address prefixes to be attached to EC2 instances.

AWS Network Firewall is now a Payment Card Industry Data Security Standard (PCI DSS) compliant service. AWS Network Firewall is a managed firewall service that makes it easy to deploy essential network protections for all your Amazon Virtual Private Clouds (VPCs). The service automatically scales with network traffic volume to provide high-availability protections without the need to set up or maintain the underlying infrastructure. AWS Network Firewall is integrated with AWS Firewall Manager to provide you with central visibility and control of your firewall policies across multiple AWS accounts.

Amazon Interactive Video Service (Amazon IVS) now gives you the ability to send live video from your mobile applications to an Amazon IVS channel as an input for a live stream using the Amazon IVS mobile broadcast SDK for Android and iOS.

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.

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.

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.

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 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.