Amazon SageMaker now supports two additional algorithms: Object2Vec and IP Insights.

The multi-account, multi-Region data aggregation capability in AWS Config now supports aggregating the configuration data of AWS resources. Aggregation of resource configuration data complements AWS Config rule compliance data aggregation , which launched earlier this year. With this launch, IT administrators can centrally monitor both configuration and compliance data from multiple accounts and Regions. This helps you reduce the time and overhead needed to gather an enterprise-wide view of your resource inventory and AWS Config rule compliance status. 

You can now get aggregated views of the health and performance of all AWS resources through
CloudWatch Automatic Dashboards. This enables you to quickly get started with monitoring, explore account and resource-based view of metrics and alarms, and easily drill-down to understand the root cause of performance issues. 

Amazon Neptune now allows you to use HTTPS to encrypt data in transit between your graph database clients and the Neptune service endpoints. This enhancement uses the industry-standard Transport Layer Security (TLS) 1.2 protocol to encrypt all data sent to and from connected clients. 

You can now analyze live video at scale in real time using the Amazon Kinesis Video Streams Inference Template (KIT) for Amazon SageMaker. The KIT enables you to build scalable, real-time, ML-driven video analytics pipelines without using other libraries or writing custom software. You can attach Kinesis video streams to Amazon SageMaker endpoints in minutes and quickly deploy your machine learning algorithms to analyze live video feeds on the AWS Cloud. 

AWS Systems Manager Distributor is a new feature that you can use to securely store and distribute software packages, such as software agents, in your accounts. Distributor integrates with existing Systems Manager features to simplify and scale the package distribution, installation, and update process.

You can now create alarms on metric math expressions such as +, -, /, *, and mathematical functions such as Sum, Average, Min, Max, and Standard Deviation. This enables you to create thresholds and set automated actions to fix operational issues. 

Amazon Translate is a fully managed neural-network based machine translation service that delivers high-quality, real-time, and affordable language translation. Today, we are announcing that Amazon Translate now supports the following eight new languages: Danish, Dutch, Finnish, Hebrew, Indonesian, Korean, Polish, and Swedish. These languages expand upon the existing 13 languages already available in Amazon Translate. With the new languages and quality improvements across many others, we are adding 280 new language pairs, for a total of 417. For a full list, see the Amazon Translate documentation .

You can now defer maintenance of your Amazon Redshift cluster to keep your data warehouse running without interruption during critical business periods. You will now also receive advance notifications from Amazon Redshift prior to any upcoming maintenance on your cluster.

AWS Batch now supports multi-node parallel jobs, which enables you to run single jobs that require multiple EC2 instances. Multi-node parallel jobs allow customers with tightly coupled, distributed computing workloads to take advantage of AWS Batch’s fully managed batch computing capabilities, avoiding the complexities of provisioning, managing, monitoring, and scaling their compute clusters, and reducing cost and operational overhead.