Amazon Rekognition Custom Labels is an automated machine learning (AutoML) service that allows customers to build custom computer vision models to classify and identify objects in images that are specific and unique to their business. Custom Labels does not require customers to have any prior computer vision expertise or knowledge.

You can now use AWS Resilience Hub with Elastic Load Balancing (ELB) and Amazon Route 53 Application Recovery Controller readiness checks to help meet your application’s recovery objectives. Resilience Hub provides you with a single place to define, validate, and track the resilience of your applications so that you can avoid unnecessary downtime caused by software, infrastructure, or operational disruptions.

Amazon Redshift Query Editor v2 , a free web-based tool for data exploration and analysis using SQL, is now enhanced with additional ease of use and security capabilities. Amazon Redshift Query Editor v2 simplifies the process for admins and end-users to connect Amazon Redshift clusters using their Identity Provider(IdP). As an administrator, you now can integrate your Identity Provider(IdP) with Amazon AWS console to access the Query Editor v2 as a federated user. You need to configure your identity provider (IdP) to pass in database user and (optionally) database groups by adding specific principal tags as SAML attributes.

AWS Trusted Advisor Priority is now generally available for AWS Enterprise Support customers, helping IT leaders focus on key cloud optimization opportunities through curated recommendations prioritized by their AWS account teams. AWS Trusted Advisor provides recommendations that help you follow AWS best practices across cost optimization, performance, security, reliability, and service quotas.

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 conversational bots (“chatbots”), virtual agents, and interactive voice response (IVR) systems. Today, we are excited to announce support for conditional branching capability so you can easily design conversations for your users. Instead of implementing custom code, you can add simple conditions directly to your Lex bot, and manage the conversation path dynamically based on user input and business knowledge.

Amazon Elastic Kubernetes Service (EKS) now makes it easier for customers to understand how their Amazon EC2 costs are driven by individual EKS clusters. Customers who choose to use multiple EKS clusters to segment their workloads to improve their resilience and/or security posture now get breakdowns of their EC2 costs by EKS cluster using AWS Cost and Usage reporting with minimal additional effort.

AWS Lambda now supports custom Consumer Group IDs when using Amazon Managed Streaming for Apache Kafka (MSK) or Self-Managed Kafka as an event source. Kafka uses Consumer Group IDs to identify consumer membership and record consumer checkpoints. Using a custom Consumer Group ID is ideal for customers with workloads that require disaster recovery or fail‑over support.

Amazon Web Services (AWS) announces expansion of wideband Digital Intermediate Frequency (DigIF) support for Software Defined Radios (SDRs) to enable customers to downlink more data in less time and reduce costs. AWS Ground Station regions Africa (Cape Town), Europe (Ireland), and Asia Pacific (Singapore) join the Middle East (Bahrain) region to offer customers a total of four locations where expanded support for SDRs is now available in Preview.

Amazon SageMaker Canvas now enables faster onboarding allowing users to import data from their local disk automatically, without additional steps. SageMaker Canvas is a visual point-and-click interface that enables business analysts to generate accurate ML predictions on their own — without requiring any machine learning experience or having to write a single line of code. SageMaker Canvas makes it easy to access and combine data from a variety of sources, automatically clean data, and build ML models to generate accurate predictions with a few clicks.

AWS App Mesh adds support for multiple listeners, allowing you to run applications with several open ports in a mesh. This enables you to control and secure inbound and outbound traffic for different application ports, as well as to collect port-specific metrics for this traffic. AWS App Mesh is a service mesh that provides application-level networking to make it easier for your services to communicate with each other across multiple types of compute infrastructure. AWS App Mesh standardizes how your services communicate, giving you end-to-end visibility and options to tune for high-availability of your applications.