AWS Control Tower now offers support for account factory customization, enabling you to customize your new and existing AWS accounts prior to provisioning them from within the AWS Control Tower console. With this release, you can now use AWS Control Tower to define account blueprints that scale your multi-account provisioning without starting from scratch with every account. An account blueprint describes the specific resources and configurations that are used when an account is provisioned. You may also use pre-defined blueprints, built and managed by AWS partners, to customize accounts for specific use cases.  

Amazon EKS customers can now find and deploy third-party operational software to their EKS clusters through the EKS console or using CLI, eksctl, AWS APIs, or infrastructure as code tools such as AWS CloudFormation and Terraform. Customers can choose between commercial, free, or packaged open source software that address use cases like monitoring, security, storage, and use the same simple commands they use today to deploy EKS add-ons to deploy these third party software. This helps EKS customers reduce time required to find, subscribe to, and deploy third party software, helping customers set up production-ready EKS clusters in minutes.

AWS Glue for Apache Spark now supports three open source data lake storage frameworks: Apache Hudi, Apache Iceberg, and Linux Foundation Delta Lake. These frameworks allow you to read and write data in Amazon Simple Storage Service (Amazon S3) in a transactionally consistent manner. AWS Glue is a serverless, scalable data integration service that makes it easier to discover, prepare, move, and integrate data from multiple sources. This feature removes the need to install a separate connector and reduces the configuration steps required to use these frameworks in AWS Glue for Apache Spark jobs.

Using AWS Network Manager, you can now monitor the real-time and historical performance of the AWS Global Network for operational and planning purposes. AWS Network Manager provides aggregate network latency between AWS Regions, Availability Zones and within each Availability Zone, allowing you to better understand how your application performance relates to the performance of the underlying AWS network. You can monitor the network latency for the AWS Global Network in up to 5-minute intervals, as well as view the 45-day historical trend from AWS Network Manager. In addition, you can also publish these latency metrics to Amazon CloudWatch, to further monitor, analyze, and alert on them.

AWS announces Informatica Data Loader for Amazon Redshift, allowing you to run high-speed and high-volume data loading to Amazon Redshift for free. This integration allows you to launch and operate Informatica Data Loader within your Amazon Redshift console and easily copy data without having to install additional components or write code. You can upload large volumes of data, across many data formats.

AWS Glue now offers custom visual transforms which let customers define, reuse, and share business-specific ETL logic among their teams. AWS Glue is a serverless, scalable data integration service that makes it easier to discover, prepare, move, and integrate data from multiple sources. With this new feature, data engineers can write reusable transforms for the AWS Glue visual job editor. Reusable transforms increase consistency between teams and help keep jobs up to date by minimizing duplicate effort and code.

Today we are excited to announce the preview launch of comprehensive controls management in AWS Control Tower, a set of new features that enhances AWS Control Tower’s governance capabilities. You can now programmatically implement controls at scale across your multi-account AWS environments within minutes, so you can more quickly vet, allow-list, and begin using AWS services. With comprehensive controls management in AWS Control Tower, you can reduce the time it takes to define, map, and manage the controls required to meet your most common control objectives such as enforcing least privilege, restricting network access, and enforcing data encryption.

AWS Config announces the ability to proactively check for compliance with AWS Config rules prior to resource provisioning. Customers use AWS Config to track the configuration changes made to their cloud resources and check if those resources match their desired configurations through a feature known as AWS Config rules. Proactive compliance allows customers to evaluate the configurations of their cloud resources before they are created or updated.

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 .

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.