Today, Amazon Location Service is adding Suggestions functionality.

You can now cache responses returned by your Custom Authorizer Lambdas when using AWS IoT Core Custom Authentication workflow for HTTP connections. Customers can now define a caching duration (i.e. refreshAfterInSecs) for responses returned by customers’ custom authorizer lambdas when using long-lived HTTP connections. Customers can set a “refreshAfterInSecs” between 5 mins and 24 hours to reduce custom authorizer lambda invocations. This feature enhancement helps customers reduce their custom authorizer lambda cost and makes the behavior for HTTP match with that of other protocols supported by AWS IoT Core.

Amazon DevOps Guru now supports enhanced analysis for Amazon Aurora databases, a new Machine Learning (ML) powered capability, as part of Amazon DevOps Guru for RDS.

Starting today, Amazon EC2 C5n instances are available in AWS Africa (Cape Town) region.

In April 2021, IAM Access Analyzer added policy generation to help you create IAM policies based on access activity found in your AWS CloudTrail. IAM Access Analyzer has now increased policy generation quotas to 50 per day to help you right-size permissions for more roles in your account. As you right-size permissions across multiple workloads in your account, you can now use policy generation across your roles to grant just the required permissions. To use IAM Access Analyzer policy generation, visit your role’s detail page and select “generate policy” to get started. When you request a policy, IAM Access Analyzer reviews your CloudTrail logs to identify the actions used and creates a fine-grained policy. Read the blog  to learn more.

Today, Amazon Location Service added metadata for tracking position updates to help developers reduce cost, improve accuracy, and simplify the development of tracking applications. Amazon Location Service Trackers already make it easy for developers to build highly scalable device-tracking applications by enabling them to retrieve the current and historical location of their tracked devices, and automatically evaluate device-positions relative to linked areas of interest (geofences). With the new metadata feature, developers can enrich these applications with additional information about each device’s position, for example the speed, direction, or engine temperature of vehicles, by including three user-defined key-values pairs with each position update. They can retrieve this information for a device’s current or historical position directly from the Amazon Location Service Tracker, for example to analyze engine performance, without building additional systems and code to track this data. Developer can also receive this metadata in the Amazon EventBridge Entry and Exit event when tracked devices cross a geofence.

You can now use AWS Launch Wizard to lead you through a best practices deployment of self-managed Remote Desktop Gateway (RD Gateway) on Amazon EC2. AWS Launch Wizard uses the AWS Well-Architected Framework to guide you through the sizing, configuration, and deployment of RD Gateway on the AWS Cloud, without the need to manually identify and provision individual AWS resources. RD Gateway employs Remote Desktop Protocol (RDP) over HTTPS which helps establishes a secure, encrypted connection between remote users and Amazon EC2 instances running Windows, without needing to configure a virtual private network (VPN). This helps reduce the attack surface on your Windows-based instances while providing a remote administration solution for administrators.

Today, we are announcing the general availability of AWS Wavelength on the  Vodafone 4G/5G network in Germany. Wavelength Zones are now available in Berlin, Munich, and Dortmund. Developers, enterprises, and Independent Software Vendors (ISVs) can now use the AWS Wavelength Zones in Germany to build ultra-low latency applications for mobile devices and users. AWS Wavelength Zones on Vodafone’s 4G/5G network are now available in four cities across Europe, including the previously announced Wavelength Zone in London.

You can now use AWS Launch Wizard to lead you through a best practices deployment of Amazon Elastic Kubernetes Service (Amazon EKS). Amazon EKS runs the Kubernetes management infrastructure for you across multiple AWS Availability Zones to help eliminate a single point of failure. AWS Launch Wizard uses AWS Well-Architected Quick Start architectures to guide you through the sizing, configuration, and deployment of an Amazon EKS control plane, connecting worker nodes to the cluster, and configuring a bastion host for cluster admin operations. Additionally, the Launch Wizard deployment provides custom resources that enable you to deploy and manage your Kubernetes applications using AWS CloudFormation by declaring Kubernetes manifests or Helm charts directly in CloudFormation templates.

Amazon Comprehend Medical is a HIPAA-eligible natural language processing service that uses machine learning to extract health data from unstructured medical text accurately and quickly. Much of health data today is in free-form medical text like doctors’ notes, clinical trial reports, and patient health records. Manually extracting the data is a time consuming process that requires broad use of synonyms and nonstandard medical terms. As a result, data often remains unusable in large-scale analytics which is needed to advance healthcare and life sciences industry.