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.
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.
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.
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.
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.
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.
Introducing Amazon EC2 R7iz instances
Starting today, memory-optimized, high-frequency Amazon EC2 R7iz instances are available in preview. R7iz instances are the first EC2 instances powered by 4th generation Intel Xeon Scalable processors (code named Sapphire Rapids) with an all core turbo frequency up to 3.9 GHz. These instances have the highest performance per vCPU among x86-based EC2 instances, and they deliver up to 20% higher performance than z1d instances. The instances are built on the AWS Nitro System, a combination of dedicated hardware and lightweight hypervisor that delivers practically all of the compute and memory resources of the host hardware to your instances for better overall performance and security. R7iz instances are ideal for front-end Electronic Design Automation (EDA), relational database with high per-core licensing fees, financial, actuarial, data analytics simulations, and other workloads requiring a combination of high compute performance and high memory footprint.
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.
AWS announces Amazon Verified Permissions (Preview)
Today, AWS is announcing the preview of Amazon Verified Permissions, a scalable, fine-grained permissions management and authorization service for custom applications. With Amazon Verified Permissions, application developers can let their end users manage permissions and share access to data. For example, application developers can use Amazon Verified Permissions to define and manage fine grained permissions to determine which Amazon Cognito users have access to which application resources.