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6 Tips for Leveraging Open Source Technology

  • 6 Tips for Leveraging Open Source Technology-

    Focus on Quality over Quantity

    Enterprises in the open source community aren't judged by the number of projects they contribute, but rather by how well their contribution solves a common developer problem. This may seem obvious, but open source developers will gravitate toward software that is flexible, scalable, and easy to use, so be sure to have good "code hygiene."

    Insecure open source contributions are instant reputation killers, so testing code for bugs before releasing it to the community (and regularly after that) is imperative. If you don't have access to an internal security research team, several security prevention and detection tools are available, like OpenVAS and Black Duck Software.

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6 Tips for Leveraging Open Source Technology

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  • 6 Tips for Leveraging Open Source Technology-4

    Focus on Quality over Quantity

    Enterprises in the open source community aren't judged by the number of projects they contribute, but rather by how well their contribution solves a common developer problem. This may seem obvious, but open source developers will gravitate toward software that is flexible, scalable, and easy to use, so be sure to have good "code hygiene."

    Insecure open source contributions are instant reputation killers, so testing code for bugs before releasing it to the community (and regularly after that) is imperative. If you don't have access to an internal security research team, several security prevention and detection tools are available, like OpenVAS and Black Duck Software.

To understand the impact that open source technology has made on the enterprise, one need only look to the numbers. With over 35 million GitHub repositories, 1,961,460 lines of code on Hadoop and over a thousand Apache Spark contributors, the open source ecosystem is home to some of the world's most innovative and impressive tech collaborations. With some of the biggest names in tech leading the charge — Apple's Swift programming language, IBM's machine learning technology SystemML and Facebook's Relay JavaScript framework were all made public in the past year — open source technology is set to change the way we process, stream and analyze data.

In this slideshow, IBM VP of Big Data and Analytics on z, Dinesh Nirmal, and IBM VP of Offerings, Big Data and Analytics, Ritika Gunnar, outline several tips to help enterprises make the most of their open source strategy.