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AWS CloudTrail Supports S3 Data Events

AWS CloudTrail now supports Amazon S3 Data Events. You can now record all API actions on S3 Objects and receive detailed information such as the AWS account of the caller, IAM user role of the caller, time of the API call, IP address of the API, and other details. All events are delivered to a S3 bucket and CloudWatch Events, allowing you to take programmatic actions on the events. For example, if the Access Control Lists (ACLs) of an object are modified, you can quickly reapply the original ACLs on that object.
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Amazon EMR now supports using Amazon S3 as a data store for Apache HBase

You can now use Amazon S3 as a data store for Apache HBase on Amazon EMR using the EMR File System. Apache HBase is a distributed, non-relational database built for random, strictly consistent realtime access for tables with billions of rows and millions of columns. By using Amazon S3 as a data store for Apache HBase, you can separate your cluster’s storage and compute nodes. This enables you to save costs by sizing your cluster for your compute requirements instead of paying to store your entire dataset with 3x replication in the on-cluster Hadoop Distributed File System (HDFS).
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Amazon SES Now Offers Dedicated IP Addresses

Amazon Simple Email Service (Amazon SES) now offers dedicated IP addresses, which enable you to manage the reputation of the IP addresses that Amazon SES uses to send your email. Dedicated IP addresses, often simply called dedicated IPs, are Amazon SES IP addresses that are reserved exclusively for your email sending. 
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Amazon Redshift introduces multibyte (UTF-8) character support for database object names and updated ODBC/JDBC

You can now use multibyte (UTF-8) characters in Amazon Redshift table, column, and other database object names. For more information, see Names and Identifiers in the Amazon Redshift Database Developer Guide. To support this new feature, we have updated the Amazon Redshift ODBC and JDBC drivers. The driver updates include support for multibyte characters and other enhancements. For details, see Amazon Redshift JDBC Release Notes and Amazon Redshift ODBC Release Notes.
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Amazon WorkSpaces now allows you to access your virtual cloud desktop using Chrome and Firefox

You can now access your Amazon WorkSpaces through Chrome and Firefox web browsers, using a new feature called Amazon WorkSpaces Web Access. Web Access establishes a secure connection to your Amazon WorkSpace from the browser, giving you safe access to your cloud desktop from almost anywhere you can connect to the public internet, all without having to install a client.
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AWS CloudFormation Supports AWS Serverless Application Model, AWS Lambda Environment Variables, and New CLI Commands

You can now provision and manage resources for AWS Lambda-based applications using AWS CloudFormation and the AWS Serverless Application Model (AWS SAM). SAM helps you more effectively model, package, and deploy “serverless” applications which use services like AWS Lambda, Amazon DynamoDB, and Amazon API Gateway. SAM is a specification for describing Lambda-based applications and offers a syntax designed specifically for expressing serverless resources. Learn more about SAM here.
Quelle: aws.amazon.com

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Amazon EMR now supports Auto Scaling and configurable scale down behavior

You can now configure policies to automatically add (scale out) and terminate (scale in) nodes in your Amazon EMR cluster. Amazon EMR can programmatically scale out applications like Apache Spark and Apache Hive to utilize additional nodes for increased performance and scale in the number of nodes in your cluster to save costs when utilization is low. Your cluster can scale based on Amazon CloudWatch metrics provided by Amazon EMR, including YARN utilization metrics.
Quelle: aws.amazon.com