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Now track user identity for API calls from Amazon SageMaker Studio in AWS CloudTrail

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Amazon SageMaker Studio is a fully integrated development environment (IDE) for machine learning that enables data scientists and developers to perform every step of the machine learning workflow, from preparing data to building, training, tuning, and deploying models. SageMaker Studio is integrated with AWS CloudTrail to enable administrators to monitor and audit user activity and API calls from Studio notebooks, SageMaker Data Wrangler and SageMaker Canvas. Starting today, you can configure SageMaker Studio to also record the user identity (specifically, user profile name ) in CloudTrail events thereby enabling administrators to attribute those events to specific users, thus improving their organization’s security and governance posture.

AWS Backup adds Amazon CloudWatch metrics to its console dashboard

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AWS Backup now provides you a way to centrally view your Amazon CloudWatch metrics for your data protection jobs directly in the AWS Backup console. With this launch, you can monitor your data protection metrics (of backup, copy, and restore jobs) for all the AWS Backup supported services, spanning compute, storage, databases, and third-party applications. To drill down to a custom view, you can add your tracked metrics to a custom CloudWatch Dashboard using the “Add to dashboard” capability.

AWS CloudFormation announces new language extensions transform

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AWS CloudFormation announces the general availability of a new transform supporting extensions to the CloudFormation template language. AWS CloudFormation is an Infrastructure as Code (IaC) service that lets you model, provision, and manage AWS and third-party resources by authoring templates which are formatted text files in JSON or YAML. This release introduces a language transform called ‘AWS::LanguageExtensions .’ When declared in a template, the transform enables extensions to the template language. At launch, these include: new intrinsic functions for length (Fn::Length ) and JSON string conversion (Fn::ToJsonString ), and support for intrinsic functions and pseudo-parameter references in update and deletion policies.

Amazon SageMaker Canvas announces additional capabilities to explore and analyze data with advanced visualizations

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Amazon SageMaker Canvas announces additional capabilities for exploratory data analysis (EDA) with advanced visualizations, enabling you to explore and analyze your data better before building machine learning (ML) models. 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. 

Introducing Seekable OCI for lazy loading container images

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Seekable OCI (SOCI) is a technology open sourced by AWS that enables containers to launch faster by lazily loading the container image. SOCI works by creating an index (SOCI Index) of the files within an existing container image. This index is a key enabler to launching containers faster, providing the capability to extract an individual file from a container image before downloading the entire archive.

AWS Security Hub launches 2 new security best practice controls

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AWS Security Hub has released 2 new controls for its Foundational Security Best Practice standard (FSBP)  to enhance your Cloud Security Posture Management (CSPM). These controls conduct fully-automatic checks against security best practices for AWS Auto Scaling and Elastic Load Balancing (ELB). If you have Security Hub set to automatically enable new controls and are already using AWS Foundational Security Best Practices, these controls are enabled for you automatically. Security Hub now supports 225 security controls to automatically check your security posture in AWS.

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