You can now use Amazon CloudWatch Lambda Insights to monitor, troubleshoot, and optimize the performance of AWS Lambda functions which are packaged and deployed as container images. With CloudWatch Lambda Insights you have access to automated dashboards summarizing the performance and health of your Lambda functions. 

Starting today, AWS Transit Gateway supports internet group management protocol (IGMP) multicast in major AWS regions worldwide. The regions include US East (Ohio), Canada (Central), South America (São Paulo), EU (Stockholm), EU (London), EU (Frankfurt), EU (Paris), Asia Pacific (Mumbai), Asia Pacific (Tokyo), Asia Pacific (Singapore), Asia Pacific (Seoul) and Asia Pacific (Sydney) AWS regions with support for other regions coming soon.

Amazon Relational Database Service (Amazon RDS) Data API is now available in Asia Pacific (Seoul) and Canada (Central) regions.

• C5a instances are now available in AWS Europe (Paris), Africa (Cape Town), Europe (Milan), and Middle East (Bahrain) Regions.
• C5ad instances are now available in AWS South America (Sao Paulo), US East (Ohio), Africa (Cape Town), Europe (Milan) and Middle East (Bahrain) Regions.
• M5a, R5a and T3a instances are now available in AWS Europe (Milan) Region
• 8xlarge and 16xlarge sizes of Amazon EC2 M5ad and R5ad instances are now available in US East (Ohio) and US West (Oregon) Regions.

Amazon Fraud Detector is a fully managed service that makes it easy to identify potentially fraudulent online activities, such as the creation of fake accounts or online payment fraud, using customized machine learning (ML) models. To train an ML model, customers provide a dataset that contains examples of legitimate and fraudulent events related to the business activity they want to evaluate for fraud risk. These fraud datasets are often highly imbalanced. For example, a dataset containing one million past transactions may only include 5,000 fraudulent ones, corresponding to a fraud rate of 0.5%. This imbalance in the training data can lead to lower model performance, which results in the customer capturing less fraud. There are a number of common techniques used to treat imbalanced datasets, but applying them requires ML expertise and the best technique often depends on the characteristics of the particular dataset.

eksctl , the official CLI for Amazon Elastic Kubernetes Service (Amazon EKS), now lets you create node groups inside an Amazon EKS cluster by simply providing node requirements in vCPUs, memory, or GPUs. Additionally, eksctl now lets you preview the cluster configuration before creating a new cluster or a new node group by using the new dry-run mode.

Today, Amazon Lookout for Equipment is generally available to all AWS customers. Amazon Lookout for Equipment is a machine learning (ML) industrial equipment monitoring service that detects abnormal equipment behavior so customers can take action and avoid unplanned downtime.

Starting today, customers can use ServiceNow as a single place to track operational items from AWS Systems Manager OpsCenter. ServiceNow users can now view, investigate, and resolve operational items related to their AWS resources, while using their existing workflows in ServiceNow. Additionally, they can use AWS Systems Manager Automation runbooks from ServiceNow to remediate known issues. AWS Systems Manager OpsCenter enables operators to track and resolve operational items related to AWS resources in a central place, helping reduce time to issue resolution.

Amazon Athena users can now view the execution plan for their queries. When querying large, complex datasets, users are often unaware of how their query will be executed or how optimizations will impact performance. Now generally available for Amazon Athena, the EXPLAIN statement helps users understand and improve the efficiency of their queries.

RegCloud: ControllerView® on AWS is an AWS Solutions Consulting Offer delivered via a consulting engagement from AxiomSL, an AWS Financial Services Competency Partner. RegCloud offers a set of cloud-native technical and operational capabilities that enable financial institutions to harness the power of the cloud for their risk and regulatory data management and reporting initiatives. Customers that request this consulting offer will participate in an engagement that follows a phased approach including design, initial system setup, data provisioning, implementation, testing and production.