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OSS: C.H. Robinson, Instaclustr, Machine Learning and Koderize

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OSS
  • At C.H. Robinson, open source adoption brings iterative, fast development — almost too fast

    In 2014, C.H. Robinson, a third-party services and logistics firm, faced a roadblock: How do you remove bottlenecks in the technology development pipeline?

    Engineering teams with eight to 10 people aligned with a module or product worked to build out a functionality, such as an order management capability, according to Vanessa Adams, director, architecture and application development at C.H. Robinson. But individual teams were often held up by other product groups whose work they relied on. 

    At one point, 12-15 teams were required to meet most development deliverables and milestones, Adams told CIO Dive. In an effort to minimize the number of development dependencies, C.H. Robinson began exploring the idea of allowing people to work in other product areas rather than making them wait in line in the prioritization loop and hope project timelines synced up. 

    [...]

    With open source, legal departments have to approve contributions to open source projects, procurement departments have to understand there may not be a place to send an invoice and managers have to learn giving back to the open source framework on work time is part of the process. It's a long term shift that can take months, if not years, to execute, McCullough said.

  • Kafkaesque: Instaclustr creates Kafka-as-a-Service

    Instaclustr has announced Kafka-as-a-Service in bid to provide an easier route to the real-time data streaming platform

    An open source player from the start, the e-dropping Instaclustr specifies that this release follows an ‘early access programe’ that saw a handful of Instaclustr users deploy the Kafka-as-a-Service solution to manage high volume data streams in real-time.

  • Why are so many machine learning tools open source?

     

    Open source and machine learning go together like peanut butter and jelly. But why? In this article, Kayla Matthews explores why many of the best machine learning tools are open source.  

  • New adventures – old challenges

    I’ve also spent a lot of time on promoting free and open source software. I’ve spoken at conferences, gone to hackathlons, spoken at the university, and arranged meetups. All this culminated in foss-north which I’ve been organizing for the past three years.

    The conclusion from all of this is that there is an opportunity to focus on this full time. How can free and open source software be leveraged in various industries? How does one actually work with this? How does licensing work? and so on. To do so, I founded my own company – koderize – a while back and from now on I’m focusing fully on it.

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today's howtos

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