AWS Step Functions now features a data flow simulator in the Step Functions console, making it easier to evaluate the input and output processing for your state machines, allowing you to build workflows faster.

AWS IoT Analytics is a fully managed service that makes it easy to collect, pre-process, enrich, store and analyze IoT data at scale to run sophisticated analytics on massive volumes of IoT data and gain insights into how IoT devices are operating without having to worry about the complexity typically required to build an analytics platform.

AWS Control Tower is now available in 3 additional AWS Regions: Asia Pacific (Mumbai), Asia Pacific (Seoul), and Asia Pacific (Tokyo). AWS Control Tower is also available in US East (N. Virginia), US East (Ohio), US West (Oregon), Europe (Ireland), Asia Pacific (Sydney), Canada (Central), Europe (Frankfurt), Europe (London), Europe (Stockholm), and Asia Pacific (Singapore). With this launch, AWS Control Tower is now available in 13 AWS Regions.

Amazon EC2 Auto Scaling Warm Pools help applications scale out faster and save money by requiring fewer continuously running instances. With Warm Pools, customers can improve the elasticity of their applications by creating a pool of pre-initialized EC2 instances that are ready to quickly serve application traffic. Additionally, Warm Pools offer a way to save compute costs by placing pre-initialized instances in a stopped state.

Application Modernization and Migration to AWS Cloud is an AWS Solutions Consulting Offer delivered via a consulting engagement from Deloitte, an AWS Mainframe Migration Competency Partner. Application Modernization and Migration to AWS Cloud, powered by innoWake™, is a comprehensive solution for enterprises’ mainframe migration and modernization journeys. Customers that request this consulting offer will participate in an engagement that delivers roadmaps, transformation of legacy code and data, testing, and go-live support.

Amazon GuardDuty is now available in the AWS Asia Pacific (Osaka) Region. You can now continuously monitor and detect security threats in the region to help protect your AWS accounts, workloads, and data stored in Amazon S3.

AWS Control Tower is releasing four new, less restrictive, mandatory preventative S3 Log Archive guardrails and changing the guidance of the four previous, more restrictive, preventative S3 Log Archive guardrails from mandatory to elective. With these guardrail changes you can now separate S3 Log Archive governance for resources created by AWS Control Tower from governance for the S3 resources you create.  

Amazon Textract is a machine learning service that makes it easy to extract text and data from virtually any document. We continuously improve the underlying machine learning models based on customer feedback to provide even better accuracy. Today, we are pleased to announce a quality enhancement to our table recognition feature. Starting today, Textract more accurately detects the outer boundaries, row and column boundaries, and content of tables. The accuracy is especially improved for the tables in receipts and invoices, but you will see improvements across many documents in finance, healthcare, legal, and public sector.

AWS Backup now enables you to use cost allocation tags for
Amazon Elastic File System (Amazon EFS) backups within
AWS Billing and Cost Management. With cost allocation tags, you can get better transparency and visibility into your Amazon EFS backup costs. For example, you can allocate your Amazon EFS backup costs to different departments (e.g., finance, engineering) or analyze Amazon EFS backup costs across your various workloads to better understand and manage your costs.

AWS CloudFormation StackSets announces the ability to deploy CloudFormation Stacks to multiple AWS regions in parallel. This reduces the overall stack set provisioning times and provides a performance improvement when using StackSets. StackSets extend the functionality of stacks by enabling you to create, update, or delete stacks across multiple AWS accounts and regions with a single operation. Currently, using StackSets you can specify the region order preference to deploy stacks across AWS regions in a sequential manner. StackSets now expands on that by providing the additional ability to specify deploying across AWS regions in parallel as part of the deployment preferences for the stack set.