Today, AWS announced the general availability of Amazon Rekognition Face Liveness, a new feature to deter fraud in facial verification. Face Liveness helps customers detect in seconds that real users, and not bad actors using spoofs, are accessing their services.
Amazon Pinpoint now supports AWS PrivateLink
You can now use AWS PrivateLink to privately access Amazon Pinpoint from your Amazon Virtual Private Cloud (Amazon VPC) without using public IPs, and without requiring the public internet.
Amazon EC2 Serial Console is now available on EC2 bare metal instances
Starting today, EC2 Serial Console is now generally available on EC2 bare metal instances in addition to Nitro virtual instances. EC2 Serial Console provides a simple and secure way to troubleshoot boot and network connectivity issues interactively, by establishing a connection to the serial port of an instance.
AWS WAF supports larger request body inspections for Amazon CloudFront distributions
Starting today, AWS WAF supports inspecting the body of incoming requests to protected CloudFront distributions, up to 64KB. The default inspection size of the body of an HTTP/S request has been increased from 8KB to 16KB. This new default will be applied to all new and existing WAF web access control lists, free of charge.
AWS WAF increases web ACL capacity units limits
AWS WAF customers can now use up to 5,000 Web ACL capacity units (WCU) per web ACL. WAF uses WCU to calculate and control the operating resources that are required to run WAF rules, rule groups, and web ACLs. Previously, WAF permitted a maximum of 1,500 WCU per web ACL. Customers who needed more than 1,500 WCU for their web ACLs needed to request manual limit increases. As WAF has launched new features and improved core product capabilities over the past few years, customers have asked us to increase the WCU limit so that it’s easier for them to use these new features without worrying about running out of capacity.
EC2 Image Builder supports vulnerability detection with Amazon Inspector for custom images
Customers can now use EC2 Image Builder to easily scan custom Amazon Machine Images (AMIs) and Container images in their image pipelines to evaluate the impact of CVEs (Common Vulnerabilities and Exposures). You no longer have to manage custom scripts that identify CVEs on your images during image build process, to analyze next steps and mitigate the impact of CVEs. With this feature, powered by Amazon Inspector, you are provided a security overview of your AMIs and Container images that details the affected resources, vulnerability details, and known remediations.
AWS Lambda adds support for Node.js 18 in the AWS GovCloud (US) Regions
AWS Lambda now supports Node.js 18 as a managed runtime in the AWS GovCloud (US) Regions. Developers creating serverless applications in Lambda with Node.js 18 in the AWS GovCloud regions can take advantage of new features such as an upgrade of the bundled AWS SDK for JavaScript to v3 and improved support for deploying ES Modules using Lambda layers. This release also provides access to Node.js 18 language enhancements, including the experimental ‘fetch’ API. For more information on Lambda’s support for Node.js 18, see our blog post at Node.js 18.x runtime now available in AWS Lambda .
AWS Lake Formation is now available in AWS Europe (Zurich) Region
AWS Lake Formation is a service that allows you to set up a secure data lake in days. A data lake is a centralized curated, and secured repository that stores all your data, both in its original form and prepared for analysis. A data lake enables you to break down data silos and combine different types of analytics to gain insights and guide better business decisions.
AWS Lake Formation is now available in AWS Europe (Spain) Region
AWS Lake Formation is a service that allows you to set up a secure data lake in days. A data lake is a centralized, curated, and secured repository that stores your data, both in its original form and prepared for analysis. A data lake enables you to break down data silos and combine different types of analytics to gain insights and guide better business decisions.
AWS launches Split Cost Allocation Data for Amazon ECS and AWS Batch
Starting today, customers can receive cost data for Amazon Elastic Container Service (Amazon ECS) tasks and AWS Batch jobs in the AWS Cost and Usage Reports (CUR), enabling you to analyze, optimize, and chargeback cost and usage for your containerized applications. With AWS Split Cost Allocation Data, customers can now allocate application costs to individual business units and teams based on how containerized applications consume shared compute and memory resources.