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Alibaba and Netflix share machine learning and data science software Two companies at the forefront of machine learning and data science have just released some of their tools under open source licenses. Chinese ecommerce giant Alibaba just  open sourced the algorithm libraries  for its Alink platform. The algorithms "are essential to support machine learning tasks such as online product recommendations and smart customer services." According to Jia Yangqing, president of Alibaba Cloud, Alink is a good fit for "developers seeking big data and machine-learning tools." You can find the source code for Alink (which is under an Apache 2.0 license)  on GitHub , with documentation in both Chinese and English. Not to be outdone, streaming service Netflix just released its  Metaflow Python library under an Apache 2.0 license. Metaflow enables data scientists to "see early on whether a prototyped model would fail in production, allowing them to fix whatever the

Enterprises across the world today are becoming increasingly interested in leveraging DevOps to deliver applications and services at a fast pace. However, at most organisations, awareness of DevOps has remained confined to abstract principles rather than practical knowledge. There is a strong misunderstanding about the purpose of DevOps and, as a result, many companies are far less confident in implementing agile operations on the ground. So, what do organisations need to look out for? And how can enterprises choose the right DevOps tools to suit their needs? Here are four priorities enterprises need to consider when transitioning to DevOps environments. Setting the goals What are we trying to achieve? Is it to modernise our applications? To transform our infrastructure to achieve agile development? Those are the questions organisations should be asking about any transition towards DevOps.  For uncertain organisations, the first step when it comes to DevOps is to outline