Today, AWS Service Catalog is releasing a new Getting Started Library (GSL) experience that simplifies discovering best practice templates and offers better guidance for Service Catalog Administrators when they use the library. The GSL contains more than 250 AWS best practice solutions for a wide variety of technical and business problems. The Library is regularly enriched with new solutions, with “New Relic AWS Control Tower Integration” or “Amazon EKS Architecture” as recent additions.

Today, we are excited to announce that you can now automatically setup Amazon CodeGuru Profiler on your Lambda functions from within the Lambda console. This makes it easier for you to understand your Lambda function’s runtime and optimize their performance and costs.

Starting today, AWS CloudFormation StackSets enables you to import existing CloudFormation stacks into a stack set. StackSets extend the functionality of stacks letting you create, update, or delete stacks across multiple AWS accounts and regions with a single operation. You can now bring your existing CloudFormation stacks into the management purview of a new or an existing stack set to easily create resources, applications or environments in other AWS accounts and AWS Regions. That way you can avoid the process of manually replicating and managing the infrastructure in each account and region individually. For example, you can import security resources such as AWS IAM roles described in CloudFormation into a stack set and then centrally manage and deploy those IAM roles across multiple accounts to achieve a consistent organization-wide security compliance in a scalable manner.

Today, we are announcing new functionality in AWS Control Tower that provides you the option to use a single customer provided AWS Key Management Service (AWS KMS) key to secure the AWS Control Tower deployed services (AWS CloudTrail, AWS Config) and the associated AWS S3 data. The use of AWS KMS encryption gives you enhanced encryption over the default SSE-S3 encryption used by AWS Control Tower.

AWS Lambda larger functions are now available in 3 additional regions enabling customers to provision Lambda functions with a maximum of 10,240 MB (10 GB) of memory, a more than 3x increase compared to the previous limit of 3,008 MB. With larger functions, customers can now more easily use AWS Lambda for workloads such as batch, extract, transform, load (ETL) jobs, and media processing applications perform memory intensive operations at scale.  

The Amazon Redshift Data API enables you to painlessly access data from Amazon Redshift with all types of traditional cloud-native, and containerized, serverless web services-based applications and event-driven applications. You can use the Data API with languages supported with the AWS SDK such as Python, Go, Java, Node.js, PHP, Ruby, and C++.

Amazon DynamoDB global tables are now available in the Asia Pacific (Osaka) Region. With global tables, you can give massively scaled, global applications local access to a DynamoDB table for fast read and write performance. You also can use global tables to replicate DynamoDB table data to additional AWS Regions for higher availability and disaster recovery.

Amazon DynamoDB Accelerator (DAX) is now available in the China (Beijing) Region, operated by Sinnet. You can create DAX clusters in this AWS Region for your DynamoDB applications that require microsecond response times.

AWS DataSync is now available in the AWS Asia Pacific (Osaka) Region. DataSync can copy data between Network File System (NFS) shares, Server Message Block (SMB) shares, self-managed object storage, AWS Snowcone, Amazon Simple Storage Service (Amazon S3) buckets, Amazon Elastic File System (Amazon EFS) file systems, and Amazon FSx for Windows File Server file systems.

AWS Glue DataBrew, a visual data preparation tool that makes it easy for data analysts and data scientists to clean and normalize data for analytics and machine learning, is now available in the AWS Europe (Milan) Region. For a list of regions where AWS Glue DataBrew is available, see the AWS Region Table.