Amazon Aurora Multi-Master is now generally available, allowing you to create multiple read-write instances of your Aurora database across multiple Availability Zones, which enables uptime-sensitive applications to achieve continuous write availability through instance failure. In the event of instance or Availability Zone failures, Aurora Multi-Master enables the Aurora database to maintain read and write availability with zero application downtime. With Aurora Multi-Master, there is no need for database failovers to resume write operations. Check out this blog to find out how to build highly available MySQL applications using Aurora Multi-Master.

AWS IoT Device Defender now supports the ability for customers to apply mitigation actions to audit findings. This feature enables customers to use predefined mitigation actions or customize them and apply them at scale. With this release, customers can choose from the following set of predefined mitigation actions to automate a response to findings from an audit: add things to thing group, enable IoT logging, publish to SNS topic, replace default policy version, update CA certificate, and update device certificate. You can use mitigation actions by using the AWS IoT Console, AWS Command Line Interface (CLI) or APIs.

Amazon Redshift Concurrency Scaling is now available in five additional AWS Regions: Canada (Central), EU (Frankfurt), Asia Pacific (Sydney), Asia Pacific (Singapore), and Asia Pacific (Seoul). The Amazon Redshift Management Console presents performance graphs for monitoring Concurrency Scaling activity and associated performance gains related to query concurrency, throughput, latency, and queueing on your Amazon Redshift cluster.

Starting today, Amazon RDS for Oracle db.m5 and db.r5 instance classes are available in new 8xlarge and 16xlarge sizes. With support for these new instance sizes, customers who are currently using either m4.10xlarge, m4.16xlarge, r4.8xlarge, or r4.16xlarge now have an easy upgrade path to the latest generation of instances. 

Amazon DynamoDB now publishes account metrics to help you monitor capacity consumption against your account limits. You can now alarm as your capacity approaches your account limits and proactively request limit increases, helping ensure your DynamoDB tables are always available. These metrics are available in the AWS Management Console by navigating to the CloudWatch console , choosing Metrics, selecting DynamoDB, and finally Account Metrics, or via the AWS CLI . To learn more, see DynamoDB Metrics and Dimensions in the DynamoDB Developer Guide. 

Amazon RDS for SQL Server now supports changing the server-level collation when creating a new DB Instance. If the collation is not specified the default server-level collation will continue to be SQL_Latin1_General_CP1_CI_AS. To learn more about which collations are supported please visit the Amazon RDS for SQL Server User Guide . 

PostgreSQL 12 Beta 2 is now available in the Amazon RDS Database Preview Environment , allowing customers to test the beta version of PostgreSQL 12 on Amazon RDS .

PostgreSQL 12 Beta 2 can now be deployed for development and testing in the Amazon RDS Database Preview Environment without the hassle of installing, provisioning, and managing the database. The PostgreSQL community released PostgreSQL 12 Beta 2 on June 20, 2019. PostgreSQL 12 includes improved functionality, performance, management of indexing, improved partitioning capabilities, JSON path queries per SQL/JSON specifications, nondeterministic collations which support case-insensitive and accent-insensitive comparisons for ICU provided collations, most common-value statistics for improved query plans, creation of generated columns that computes values with an expression, pluggable table storage interface, ability to enable/disable page checksums, and many more.

The Amazon RDS Database Preview Environment supports both Single-AZ and Multi-AZ deployments on the latest generation of instance classes (currently T2, M4, and R4), and can be encrypted at rest using KMS keys. Amazon RDS Database Preview Environment database instances are retained for a maximum period of 60 days and are automatically deleted after the retention period. Amazon RDS database snapshots that are created in the preview environment can only be used to create or restore database instances within the preview environment. Customers can use standard PostgreSQL dump and load functionality to import or export their databases from the preview environment.

Amazon RDS Database Preview Environment database instances are priced the same as production RDS instances created in the US East (Ohio) Region .

The Amazon RDS Database Preview Environment Forum is available for customers and the Amazon RDS team to share information and concerns about both the candidate versions of PostgreSQL 12 and the Amazon RDS Database Preview Environment.
 

AWS DataSync now offers Federal Information Processing Standards (FIPS) 140-2 validated endpoints in US Regions to protect sensitive information. These endpoints terminate Transport Layer Security (TLS) sessions using a FIPS 140-2 validated cryptographic software module, making it easier for you to use DataSync for regulated workloads. 

You can now deploy AWS DataSync within your Amazon Virtual Private Cloud (Amazon VPC) using VPC endpoints. With this feature, data transferred between the DataSync agent and AWS service doesn’t need to traverse the public internet or need public IP addresses, increasing the security of data as it is copied over the network. VPC endpoints for DataSync are powered by AWS PrivateLink, a highly available, scalable technology that enables you to privately connect your VPC to supported AWS services.

With Amazon Virtual Private Cloud (Amazon VPC) sharing, you can now use AWS Glue, create Amazon EMR clusters and Amazon Aurora Serverless DB clusters in shared and centrally-managed VPCs. Amazon VPC sharing allows other AWS accounts to create their application resources, such as EC2 instances, Amazon Relational Database Service (Amazon RDS) databases, Amazon Redshift clusters, Amazon EMR clusters, and Lambda functions in shared Amazon VPCs.