Latest News

06Apr 2016

You can now develop your AWS Lambda functions using Node.js 4.3.2 in addition to Node.js 0.10.4. In addition to the leveraging new features in Node.js 4.3 such as ES6 support, Lambda functions written in Node.js 4.3 can now use standard Node.js callback conventions to specify error or return values for the function execution. Previously, returning values from a Lambda function required the use of methods specific to the Lambda programming model. See our documentation to learn more about implementing callbacks within Lambda functions.

06Apr 2016

Today, we made it easier for you to configure trust relationships between your AWS Directory Service for Microsoft Active Directory (Enterprise Edition)—also known as Microsoft AD—and your on-premises Microsoft Active Directory domains. Establishing trust relationships requires conditional forwarders, which resolve Domain Name System (DNS) queries between the domain names of the trusting directories. You now can more easily configure conditional forwarders using the Directory Service console, which eliminates the need to install DNS Manager on a Microsoft Windows Server instance in your Amazon Virtual Private Cloud (VPC). 

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.