AWS Open Source Blog

Open Source News Roundup: January 14, 2018

A regular roundup of open source news from us that you might have missed.

Instrumenting Web Apps Using AWS X-Ray

A step-by-step walkthrough for enabling X-Ray tracing in the Go programming language. Use these steps to add X-Ray tracing to any distributed application. – AWS Devops blog

Now available in Amazon SageMaker: DeepAR algorithm for more accurate time series forecasting

The latest built-in algorithm for Amazon SageMaker, DeepAR is a supervised learning algorithm for time series forecasting that uses recurrent neural networks (RNN) to produce both point and probabilistic forecasts. – AWS Machine Learning blog

Don’t have time (or money) to hire a sales team? Here’s how open source can help

Wallaroo founder Vid Jain explains how open source is helping his company address more than developer energy and technical expertise. – AWS Startups blog

AWS Toolkit for Eclipse: Locally Debug Your Lambda Functions and Amazon API Gateway Using AWS SAM Local

AWS Toolkit for Eclipse now supports AWS SAM Local for locally debugging your AWS Lambda functions and Amazon API Gateway in Java. See AWS SAM Local for more details about this command line tool. – AWS Developer Blog

AWS SDK for Go 2.0 Developer Preview

In the Developer Preview release of the AWS SDK for Go 2.0, many aspects of the SDK have been refactored based on your feedback, with a strong focus on performance, consistency, discoverability, and ease of use. – AWS Developer Blog

Support for Apache Spark 2.2.1 with Amazon SageMaker integration and Apache Hive 2.3.2 on Amazon EMR release 5.11.0

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. – What’s New

AWS SageMaker for Bioinformatics

A college student tries out AWS SageMaker to run a Jupyter notebook so she can create sharable, reproducible bioinformatics work. – Medium

earlier edition: December 15, 2017

Deirdré Straughan

Deirdré Straughan

Deirdré has been communicating about technology, and helping others to do so, for 30 years. She has written one book (so far); edited two more (so far); produced and delivered technical training; produced hundreds of videos and live streams of technical talks; written, edited, and managed blogs; and managed events. She has been applying this skill set to cloud computing since 2010, and to open source for even longer. She joined AWS in 2017. You can find her at @deirdres on Twitter.