Amazon Neptune is now available in South America (São Paulo) and Asia Pacific (Hong Kong) Regions. You can now create Neptune clusters using R5 and T3 instance types in these regions for your graph applications.

Amazon Neptune announced a new engine release that introduces an alternative query engine (DFE) in lab mode that can significantly speed up query execution by improving the resource utilization of database instances. DFE runs both SPARQL and Gremlin queries, and supports a wide variety of plan types, including left-deep, bushy, and hybrid plans. 

Amazon Neptune now allows you to visualize your graph using the Neptune Workbench. Graphs store relationships, and customers find it easy to visualize the nodes, edges, and properties to navigate their graphs or see patterns. Developers writing Gremlin or SPARQL queries can now view their query results and visually select nodes or properties in the Workbench.

AWS Storage Gateway expands international availability of the AWS Storage Gateway Hardware Appliance to several AWS Regions in Asia Pacific, South America, and Canada, and streamlines ordering through the AWS Console. The hardware appliance is now available for shipping to more international destinations in addition to the US and Europe. The ordering process is now streamlined to comply with corporate procurement policies for purchasing IT equipment. Customers can now request sales quotes and submit purchase orders directly on the AWS Console. 

Distributor, a capability of AWS Systems Manager, now allows you to install and manage a popular third party agent. With this launch, you can select a pre-built agent directly from Distributor without having to create or maintain any software packages. The Trend Micro Cloud One agent is the first agent offered. AWS will continue to seek opportunities to offer many other popular security and monitoring agents.

We’re excited to announce the launch of AWS Security Hub Automated Response & Remediation, a reference implementation that includes a library of automated security response and remediation actions to common security findings. The AWS Security Hub Automated Response & Remediation solution makes it easier for customers to resolve common security findings and improve their security posture in AWS.

Amazon Forecast uses machine learning to generate accurate demand forecasts, without requiring any prior ML experience for inventory planning, workforce planning, energy demand forecasting and cloud infrastructure usage forecasting. This technology has been developed from over 20 years of forecasting at Amazon.com. Amazon Forecast is a fully managed service, so there are no servers to provision, and no machine learning models to build, train, or deploy. 

Amazon S3 Access Points now support the Copy API , allowing customers to copy data to and from access points within an AWS Region. S3 Access Points simplify managing data access at scale for applications using shared data sets on S3, such as usage and transaction logs for analytics, and post-processing. S3 Access Points are unique hostnames that you can create to enforce distinct and precise permissions and network controls for any request made through the access point.

You can now develop AWS Lambda functions using Java 8 (Corretto). Amazon Corretto 8 is a no-cost, production-ready distribution of OpenJDK 8 that comes with long-term support. Lambda functions written in Java 8 (Corretto) run on Amazon Linux 2, the latest generation of Amazon Linux. You can read more about the Java programming model in the AWS Lambda documentation . 

You can now develop your AWS Lambda functions using Go on Amazon Linux 2, the latest generation of Amazon Linux. You can read more about the Go programming model in the AWS Lambda documentation .