All posts by: Cloud Comrade

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You can now use Apache Spark 2.2.1, Apache Hive 2.3.2, and Amazon SageMaker integration with Apache Spark on Amazon EMR release 5.11.0. Spark 2.2.1 and Hive 2.3.2 include various bug fixes and improvements. Amazon SageMaker Spark is an open-source Spark library for Amazon SageMaker, a fully-managed service which can build, train, and deploy machine learning models at scale. It enables you to interleave Spark stages and stages that interact with Amazon SageMaker in your Spark ML Pipelines, allowing you to train models using Spark DataFrames in Amazon SageMaker with Amazon-provided ML algorithms like K-Means clustering or XGBoost.

Today AWS Direct Connect has landed sites in two new cities – Minneapolis, MN and Bangalore, India. With global access enabled for AWS Direct Connect, these sites can reach AWS resources in any global AWS region. In the US, Cologix MIN3, Minneapolis brings the total AWS Direct Connect sites in the country to 30. In the AWS Management Console, Minneapolis will be found under its home region of US East (Ohio). In India, NetMagic DC2, Bangalore, is the third city for AWS Direct Connect after Mumbai and Chennai, and will be found in the console under Asia Pacific (Mumbai) region.  

Starting today, Lambda@Edge enables you to customize error responses from your origin, by allowing you to execute Lambda functions in response to HTTP errors that Amazon CloudFront receives from your origin. This means Lambda@Edge functions associated with Amazon CloudFront origin response event will now be invoked for 4XX and 5XX error status codes, in addition to the currently supported 2XX (success) and 3XX (redirection) status codes. 

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