Sensitive data detection and processing in AWS Glue is now generally available. This feature uses pattern matching and machine learning to automatically detect Personal Identifiable Information (PII) and other sensitive data at both the column and cell levels during an AWS Glue job run. AWS Glue includes options to log the type of PII and its location as well as to take action on it.

Amazon QuickSight now supports 1-click public embedding, a feature that allows you to embed your dashboards into public applications, wikis, and portals without any coding or development. Once enabled, anyone on the internet can start accessing these embedded dashboards with to up-to-date information instantly, without server deployments or infrastructure licensing needed! 1-click public embedding helps you empower your end users with access to insights in seconds. To access this feature in preview please contact quicksight-public-embedding-preview@amazon.com.

Auto Scaling in AWS Glue Apache Spark jobs is now generally available. AWS Glue 3.0 can now dynamically scale resources up and down based on the workload. With Auto Scaling, you no longer need to worry about over-provisioning resources for jobs, spend time optimizing the number of workers, or pay for idle workers.

Amazon Textract is a machine learning service that automatically extracts text, handwriting, and data from any document or image. Textract now provides you the flexibility to specify the data you need to extract from documents using the new Queries features within Analyze Document API. You do not need to know the structure of the data in the document (table, form, implied field, nested data) or worry about variations across document versions and formats. Queries leverages a combination of visual, spatial, and language cues to extract the information you seek with high accuracy.

Today we are announcing the general availability of 10 new data source connectors for Amazon Athena. With Athena, you can query data stored in relational, non-relational, object, and custom data sources without the need for ETL scripts to pre-process or copy data. This release expands the number of data sources you can query with Athena and helps analysts, data engineers, data scientists, and developers unlock business value from data stored in databases running on-premises or in the cloud.

Today, we are excited to announce general availability of Amazon SageMaker Serverless Inference in all AWS Regions where SageMaker is generally available (except the AWS China regions). With SageMaker Serverless Inference, you can quickly deploy machine learning (ML) models for inference without having to configure or manage the underlying infrastructure. When deploying your ML models, simply select the serverless option and Amazon SageMaker automatically provisions, scales, and turns off compute capacity based on the volume of inference requests. With SageMaker Serverless Inference, you pay only for the compute capacity used to process inference requests (billed by the millisecond) and the amount of data processed; you do not pay for idle time. SageMaker Serverless Inference is ideal for applications with intermittent or unpredictable traffic.

Today, we are announcing that Amplify Geo for Android is now generally available, following the release of Amplify Geo for JavaScript and iOS. Amplify Geo for Android allows developers to add cloud-connected UI components for maps and location search to Android apps. In addition to AWS Amplify’s features like Auth, DataStore, and Storage, Amplify Geo provides a set of client libraries built on top of Amazon Location Service APIs, and includes cloud-connected map UI components that are based on the popular MapLibre open-source library.

Amazon DevOps Guru now provides Proactive Insights that helps you to increase availability, improve performance and optimize utilization of your application resources. Proactive monitoring is key to flagging potential issues with your applications and infrastructure early, enabling you to respond quickly and reduce costly downtime. Amazon DevOps Guru uses machine learning (ML) to analyze application resources, configurations and application metrics to identify potential future operational issues to prevent them from impacting your users and increase application uptime.

Amazon MQ now provides support for ActiveMQ 5.16.4. This update to ActiveMQ contains several fixes and enhancements compared to the previously supported version, ActiveMQ 5.16.3

The Amazon Chime SDK lets developers add intelligent real-time audio, video, and screen share to their web and mobile applications. The Amazon Chime SDK has achieved FedRAMP High authorization for AWS GovCloud (US) Regions. U.S. government agencies and contractors can now use Amazon Chime SDK to build applications for workloads that require FedRAMP High authorization.