Following the announcement of updates to the PostgreSQL database , we have updated Amazon RDS for PostgreSQL to support PostgreSQL minor versions 11.7, 10.12, 9.6.17, and 9.5.21. This release contains bug fixes and improvements done by the PostgreSQL community.  

New minor versions of Microsoft SQL Server are now available on Amazon RDS for SQL Server, offering performance and security fixes. Amazon RDS for SQL Server supports them for Microsoft SQL Server 2017, 2016, 2014, and 2012 for Express, Web, Standard, and Enterprise Editions on Windows operating systems. 

Amazon Web Services (AWS) is announcing the immediate availability of the AWS Europe (Milan) Region, which is the first region in Italy launched by a major cloud provider. This new region is also the sixth AWS region in Europe. The AWS Europe (Milan) Region consists of three Availability Zones and with this launch, AWS now offers 24 Regions and 76 Availability Zones worldwide, serving customers in over 190 countries. The new AWS Europe (Milan) Region adds to the existing infrastructure AWS has in Italy, which includes five Edge locations (three in Milan, one in Palermo, and one in Rome) and an AWS Direct Connect Location in Milan which connects to the Europe (Frankfurt) Region.

AWS Config now offers two additional conformance pack sample templates to help you manage the configuration compliance of your AWS resources across AWS accounts. A conformance pack is a collection of AWS Config rules and remediation actions that can be easily deployed as a single entity in an account and a Region or across an organization in AWS Organizations. These packs are created by authoring a YAML template that contains the list of AWS Config managed or custom rules and remediation actions.  

AWS customers are using AWS Lambda to build highly available and scalable applications without thinking about servers. Customers want to know which APN Technology Partner developer tools work best to help them easily deploy, monitor, and secure their Lambda-based workloads. Today, we launched the AWS Lambda Ready Program, part of the AWS Service Ready Program, to help customers find developer tooling solutions validated by AWS serverless experts to integrate with AWS Lambda.

AWS Glue now supports streaming ETL. This feature makes it easy to set up continuous ingestion pipelines that prepare streaming data on the fly and make it available for analysis in seconds. Streaming ETL jobs in AWS Glue can consume data from streaming sources likes Amazon Kinesis and Apache Kafka, clean and transform those data streams in-flight, and continuously load the results into Amazon S3 data lakes, data warehouses, or other data stores. Customers can use this feature to process event data like IoT event streams, clickstreams, and network logs. Streaming ETL jobs in AWS Glue run on the Apache Spark Structured Streaming engine, so customers can use them to enrich, aggregate, and combine streaming data, as well as to run a variety of complex analytics and machine learning operations.

AWS Outposts can now be shipped and installed at customer datacenters and on-premises locations in Indonesia. AWS Outposts is a fully managed service that extends AWS infrastructure, AWS services, APIs, and tools to virtually any customer datacenter, co-location space, or on-premises facility for a consistent AWS experience.  

AWS Glue now supports serverless streaming ETL jobs. This feature makes it easy to set up continuous ingestion pipelines that prepare data like IoT event streams, clickstreams, and network logs and make them available for analysis in seconds. AWS Glue can now consume data from streaming sources like Amazon Kinesis and Apache Kafka, clean and transform it in flight, then continuously load the results into Amazon S3 data lakes, data warehouses, and other data stores. AWS Glue streaming ETL jobs run on the Apache Spark Structured Streaming engine, so customers can use them to enrich, aggregate, and combine data, as well as run a variety of complex analytics and machine learning operations. 

We’re happy to announce that Amazon CodeGuru Profiler has improved the process for configuring new applications to be set up for detecting performance issues. First-time setup for each new application will be faster, easier, more accurate and can be performed entirely within the console.

To help you discover S3 buckets that can be accessed publicly or from other accounts or organizations, AWS Identity and Access Management (IAM) Access Analyzer evaluation of S3 buckets now includes S3 Access Point policies in addition to bucket policies and access control lists. This helps you find unintended access to S3 buckets that use access points, and identifies the access point that permits access. Access Analyzer makes it easier to identify and remediate unintended public, cross-account or cross-organization sharing of your S3 buckets that use access points. This helps you restrict bucket access and adhere to the security best practice of least privilege.