Today we are announcing the Braket Algorithm Library , an open-source, GitHub repository that provides researchers ready-to-use Python implementations for a set of popular quantum algorithms, reducing the time it takes to get started on Amazon Braket. Amazon Braket, the quantum computing service from AWS, provides customers access to quantum computers and managed simulators. Researchers interested in contributing to the effort can start by viewing our open-source contribution guidelines .
New Amazon S3 Multi-Region Access Points failover controls enable active-passive configurations and customer-initiated failovers
Amazon S3 Multi-Region Access Points failover controls let you shift S3 data access request traffic routed through an Amazon S3 Multi-Region Access Point to an alternate AWS Region within minutes to test and build highly available applications. S3 Multi-Region Access Points provide a single global endpoint to access a data set that spans multiple S3 buckets in different AWS Regions. With S3 Multi-Region Access Points failover controls, you can operate S3 Multi-Region Access Points in an active-passive configuration where you can designate an active AWS Region to service all S3 requests and a passive AWS Region that will only be routed to when it is made active during a planned or unplanned failover. You easily shift S3 data access request traffic from an active AWS Region to a passive AWS Region typically within 2 minutes to test application resiliency and perform disaster recovery simulations.
AWS CloudTrail Lake now supports configuration items from AWS Config
AWS CloudTrail Lake now integrates with AWS Config to support ingestion and query of configuration items . Now you can query and analyze both configuration items and CloudTrail activity logs in CloudTrail Lake, thereby simplifying and streamlining your security and compliance investigations. CloudTrail Lake enables security teams to perform retrospective investigations by helping answer who made what configuration changes to resources associated with security incidents such as data exfiltration or unauthorized access. CloudTrail Lake helps compliance engineers investigate noncompliant changes to their production environments by relating AWS Config rules with noncompliant status to who and what resource changes triggered them. IT teams can perform historical asset inventory analysis on configuration items using CloudTrail Lake’s default seven-year data retention period.
Amazon VPC Reachability Analyzer now supports network reachability analysis across accounts in an AWS Organization
Amazon VPC Reachability Analyzer now supports network reachability analysis between AWS resources across different AWS accounts in your AWS Organization, allowing you to trace and troubleshoot the network reachability across your AWS Organization.
Announcing AWS Glue for Ray (Preview)
AWS Glue for Ray is a new engine option on AWS Glue. Data engineers can use AWS Glue for Ray to process large datasets with Python and popular Python libraries. AWS Glue is a serverless, scalable data integration service used to discover, prepare, move, and integrate data from multiple sources. AWS Glue for Ray combines that serverless option for data integration with Ray (ray.io), a popular new open-source compute framework that helps you scale Python workloads.
Introducing AWS Glue 4.0
We’re pleased to announce the launch of AWS Glue version 4.0, a new version of AWS Glue that accelerates data integration workloads in AWS. AWS Glue 4.0 upgrades the Spark engines to Apache Spark 3.3.0 and Python 3.10 . Glue 4.0 gives customers the latest Spark and Python releases so they can develop, run, and scale their data integration workloads and get insights faster.
Amazon Redshift extends SQL capabilities to simplify and speed up data warehouse migrations (preview)
Amazon Redshift now supports new SQL functionalities namely, MERGE, ROLLUP, CUBE, and GROUPING SETS, to simplify building multi-dimensional analytics applications and incorporating fast changing data in Redshift. In addition, Amazon Redshift now extends support for a larger, semi-structured data size (up to 16 MB) when ingesting nested data from JSON and PARQUET source files. Together, these enhancements reduce the code conversion effort if you are migrating to Amazon Redshift from other data warehouse systems and help improve performance.
Announcing the general availability of AWS Wickr
AWS Wickr is an end-to-end encrypted, enterprise communications service that offers advanced security features and facilitates one-to-one chats, group messaging, calling, file sharing, screen sharing, and more. The service is now generally available. With AWS Wickr, organizations can collaborate more safely than with consumer-grade messaging applications. Advanced security and administrative controls help organizations meet data retention requirements and build custom solutions for data security challenges.
Announcing the availability of Microsoft Office Amazon Machine Images (AMIs) on Amazon EC2 with AWS provided licenses
AWS now offers fully-compliant, Amazon-provided licenses for Microsoft Office LTSC Professional Plus 2021 Amazon Machine Images (AMIs) on Amazon EC2. These AMIs are now available on the Amazon EC2 console and on AWS Marketplace to launch instances on-demand without any long-term licensing commitments. With this offering, customers have the flexibility to run Microsoft Office on EC2. Amazon EC2 provides a broad choice of instances with the flexibility of paying only for the optimal capacity and hardware configuration Microsoft Office users need.
Amazon Macie introduces automated sensitive data discovery
We are pleased to announce automated sensitive data discovery , a new capability in Amazon Macie that provides continual, cost efficient, organization-wide visibility into where sensitive data resides across your Amazon Simple Storage Service (Amazon S3) estate. With this new capability, Macie automatically and intelligently samples and analyzes objects across your S3 buckets, inspecting them for sensitive data such as personally identifiable information (PII), financial data, and AWS credentials. Macie then builds and continuously maintains an interactive data map of where your sensitive data in S3 resides across all accounts and Regions where you’ve enabled Macie, and provides a sensitivity score for each bucket. Amazon Macie uses multiple automated techniques including resource clustering by attributes such as bucket name, file types, and prefixes to minimize the data scanning needed to uncover sensitive data in your S3 buckets. This helps you continuously identify and remediate data security risks without manual configuration and lowers the cost to monitor for and respond to data security risks.