Latest News

05Apr 2016

AWS Config Rules allow you to create rules that continuously check the configuration of AWS resources recorded by AWS Config, and notifies when resources do not comply with these guidelines. Using the rules dashboard, you can track overall compliance status and troubleshoot specific resource configuration changes that led to noncompliance.

04Apr 2016

You now have the ability to shuffle your training data with Amazon Machine Learning (Amazon ML) for improved ML model quality. Amazon ML creates better ML models when input rows are presented to the ML algorithm in a random order. With this new training parameter option, you can have Amazon ML shuffle the order of the rows of your training data. Data shuffling will be turned on by default in the Amazon ML console when you create an ML model. You can control this option through the console, or turn data shuffling on through the API and SDK.

04Apr 2016

Amazon API Gateway now supports importing Swagger API definitions. Previously, you would use the Swagger importer tool to import Swagger definitions into API Gateway. Now, you can import your Swagger API definitions into API Gateway through the AWS Management Console, CLI, and SDK. This allows you to easily create and deploy new APIs as well as update existing APIs in Amazon API Gateway.

04Apr 2016

We are excited to announce the launch of three new health checking features for Amazon Route 53:

Metric Based Health Checks let you perform DNS failover based on any metric that is available within Amazon CloudWatch, including AWS-provided metrics and custom metrics from your own application. When you create a metric based health check within Amazon Route 53, the health check becomes unhealthy whenever its associated Amazon CloudWatch metric enters an alarm state.

03Apr 2016

You can now use upgraded versions of Apache Spark (1.6.1), Apache Hadoop (2.7.2), and an upgraded sandbox release of Presto (0.140) on Amazon EMR release 4.5.0. Spark 1.6.1 was released in the community on March 9th, and it contains several bug fixes and updates to the Dataset API. Additionally, the EMR Filesystem (EMRFS) can now read objects from and write objects to Amazon S3 with S3 server-side encryption with AWS Key Management Service keys (SSE-KMS). Previously, EMRFS supported S3 server-side encryption with S3 managed keys (SSE-S3) and S3 client-side encryption with AWS KMS keys or custom keys.

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