Starting today, you can perform an in-place upgrade of your Amazon Aurora database cluster from MySQL major version 5.6 to 5.7. Instead of backing up and restoring the database to the new version, you can upgrade with just a few clicks in the Amazon RDS Management Console or by using the AWS SDK or CLI. 

The Amazon EC2 API now supports the IPv6 protocol, allowing applications to connect over IPv6. This allows you to more easily meet IPv6 compliance requirements, more easily integrate with existing IPv6-based on-premises applications, and remove the need for expensive networking equipment to handle the address translation between IPv4 and IPv6.

You can now manage custom tags for quantum tasks and notebooks directly in the Amazon Braket console. A tag is a simple label consisting of a customer-defined key and value pair. The ability to attach tags such as owner name, project, or cost center makes it easier for you to organize your resources into categories that are useful to you.

You can now monitor the storage size of your Amazon Elastic File System (Amazon EFS) resources using Amazon CloudWatch. Using the Amazon EFS or Amazon CloudWatch consoles, you can view your file system’s storage size over time, including size in each of the EFS storage classes – EFS Standard, and the cost-optimized EFS Infrequent Access.

Using AWS CloudFormation, you can now model and provision AWS DataSync resources, along with other resources within your AWS infrastructure, in a safe, predictable, and repeatable way. This enables you to standardize the creation of DataSync resources such as Tasks and Locations across deployments.

AWS App Mesh is now certified as a Payment Card Industry Data Security Standard (PCI DSS) service. AWS App Mesh is a service mesh that provides application-level networking to standardize how your services communicate, giving you end-to-end visibility and enables options to tune for high-availability of your applications. 

Amazon EMR now natively integrates with Apache Ranger , allowing you to define, enforce, and audit fine-grained data access control. With this feature, you can define and enforce 1/ database, table, and column level authorization policies for Apache Spark and Apache Hive users to access data through Hive Metastore, and 2/ prefix and object level authorization policies when accessing data in Amazon S3 via the Amazon EMR File System (EMRFS) , leveraging Amazon CloudWatch to capture auditing logs.

AWS Cloud Map is now certified as a Payment Card Industry Data Security Standard (PCI DSS) service. AWS Cloud Map is a cloud resource discovery service. With AWS Cloud Map, you can define custom names for your application resources, such as Amazon Elastic Container Services (Amazon ECS) tasks, Amazon Elastic Compute Cloud (Amazon EC2) instances, Amazon DynamoDB tables, or any other cloud resource. You can then use these custom names to discover the location and metadata of cloud resources from your applications using AWS SDK and authenticated API queries. AWS Cloud Map is a highly available, managed service with rapid change propagation. 

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.