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Introducing new M4 instance size, m4.16xlarge, and new region availability of M4 instances

We are excited to announce the availability of the m4.16xlarge, the largest instance size in the latest generation of EC2 General Purpose instances, featuring 64 vCPUs and 256 GiB of memory. The m4.16xlarge offers a balance of compute, memory, and network resources, and is a good choice for many applications including databases, data processing tasks, cluster computing, and web servers that require high computational horsepower or memory size.
Quelle: aws.amazon.com

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The Amazon EMR-DynamoDB Connector for Apache Hive and Apache Spark is now open-source

Amazon Web Services has open-sourced the emr-dynamodb-connector, which enables Apache Hive and Apache Spark on Amazon EMR to access data in Amazon DynamoDB. You can process data directly in Amazon DynamoDB using these applications, or join tables in Amazon DynamoDB with external tables in Amazon S3, Amazon RDS, or other data stores that can be accessed by Amazon EMR. The connector is still included for use on each node in your Amazon EMR cluster. To learn more or contribute to the project, visit the emr-dynamodb-connector GitHub page.
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Amazon Lumberyard Beta 1.5 now available, adds Asset Builder SDK, OSVR support, new components, and more

We are excited to announce the release of Amazon Lumberyard Beta 1.5, which includes 210 new improvements, fixes and features to Amazon’s free, AAA game engine deeply integrated with AWS and Twitch. Lumberyard Beta 1.5 introduces an Asset Builder SDK, so game developers can track, reload, automatically rebuild, and process any asset formats their game requires. Additionally, Lumberyard Beta 1.5 adds support for OSVR virtual reality devices, new component entities so developers can build gameplay with less engineering support, distance-based particle effects optimization, and more. Read about the update in the GameDev Blog and the Lumberyard Beta 1.5 release notes.
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Amazon EMR now supports data encryption for Apache Spark, Tez, and Hadoop MapReduce

You can now easily enable encryption for data at-rest and in-transit for Apache Spark, Apache Tez, and Apache Hadoop MapReduce on Amazon EMR. For encryption at-rest, you can encrypt data stored in Amazon S3 with the EMR File System (EMRFS) and data stored on your Amazon EMR cluster in the local file system on each node and the Hadoop Distributed File System (HDFS). For encryption in-transit, Amazon EMR will enable the open-source encryption features for Apache Spark, Apache Tez, and Apache Hadoop MapReduce.
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Oracle UTL_Mail and July 2016 PSU Patches are now available for Amazon RDS for Oracle

You can now send email directly from your RDS for Oracle databases by using the UTL_MAIL package. To enable UTL_Mail for your DB instance, you need to create a new option group, or copy or modify an existing option group and add the option Oracle UTL_MAIL to it. You then need to associate this option group to your DB instance either by selecting the option while creating a new instance or while modifying an existing instance. Right now, we only support single attachments up to 32KB in size and only ASCII and EBCDIC character encodings. Amazon RDS supports UTL_MAIL for the Oracle version 12.1.0.2.v5 and later, 12.1.0.1.v6 and later and 11.2.0.4.v9 and later. These versions include the July 2016 Oracle Patch Set Updates (PSU).  
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Amazon API Gateway introduces 3 new features to simplify API configuration

Amazon API Gateway now supports three new features that make it easy to integrate APIs with AWS Lambda and HTTP endpoints. Previously, you needed to define each method and its integration behavior in API Gateway in order to integrate with backend endpoints. Now, you can route all traffic to a specific backend endpoint without having to apply any request or response mappings and transformations.
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