AWS Transfer Family now supports file transfers for Amazon Elastic File System (Amazon EFS) file systems, enabling AWS Transfer Family customers to easily and securely provide their business partners and end customers access to files stored in Amazon EFS file systems for use cases such as data distribution, supply chain workflows, content management, and web serving applications. With this launch, you can use AWS Transfer Family and Amazon EFS to migrate your file transfer workflows that rely on file storage without impacting your end users or application integrations, while eliminating the need to manage any file transfer infrastructure. 

The Amazon Web Services (AWS) Java (JDBC) Driver for MySQL is now available in preview. This open source database driver helps applications take advantage of clustered databases, such as Amazon Aurora with MySQL compatibility, reducing failover times from minutes to seconds.

Starting today, AWS Network Firewall is now available in the Asia Pacific (Sydney) Region.  

We’ve updated the AWS Config console to make it more efficient for you to track your AWS resource configuration changes, and monitor your AWS Config rule and conformance packs compliance. The new AWS Config console experience now includes features, such as Advanced Query, Aggregators, and resource configuration and compliance timeline pages.

Amazon API Gateway now supports data mapping definitions from an HTTP API’s method request data (e.g. path parameters, query string and headers) to the corresponding integration request parameters and from the integration response data (e.g. headers) to the HTTP API method response parameters. 

Amazon CloudSearch has updated the existing search instances with new instances that provide better availability and performance at the same pricing. The new instances are one to one replacements, but leverage newer generation EC2 instances underneath, thereby improving the overall stability of your domain.  

FreeRTOS now includes pre-configured projects that emulate real microcontroller (MCU) cores in software using the QEMU open source emulator. Running FreeRTOS in an emulator makes it easier to test applications using the actual binary code that will run on your MCU device, without having physical access to the MCU device. MCU emulations reduce development time by giving you access to enhanced debugging capabilities and the flexibility to run design experiments on multiple MCUs before you make the final MCU selection. This release includes a QEMU demo project for the Arm Cortex-M3 based MPS2 + FPGA. For more details, see FreeRTOS README .

Amazon AppFlow, a fully managed integration service that enables customers securely transfer data between AWS services and cloud applications, now supports Salesforce Pardot . Salesforce Pardot is a marketing automation solution that helps companies create meaningful connections, generate more pipeline, and empower sales to close more deals. AppFlow makes it easy for customers to configure data transfers with Salesforce Pardot in just a few clicks.

You can now include AWS Glue DataBrew data preparation jobs in your workflows created using AWS Step Functions. This saves you time and allows you to orchestrate cleaning and data normalization steps into your analytics and machine learning workflows. 

Amazon EC2 Auto Scaling now supports using up to 40 instance types with mixed instances policies. This doubles the number of instance types you can specify. Previously, you could only specify 20 instance types. Now, you can specify up to 40 instance types when you first create an Auto Scaling group, and when you update existing Auto Scaling groups. You can use the Overrides section in your mixed instances policy structure to input up to 40 instance types that Amazon EC2 Auto Scaling can use to provision your On-Demand and Spot Instances. By using a variety of instance types, you can maintain your workload’s availability as you can provision your application’s resources across more Spot instance pools per Availability Zone and reduce the chance of getting insufficient capacity error in case of On-Demand. Running your application’s resources across diverse Spot instance pools also allows you to further reduce your operating costs over time.