Welcome!

Open Source Cloud Authors: Pat Romanski, Elizabeth White, Liz McMillan, Rostyslav Demush, Charles Araujo

Related Topics: Open Source Cloud, @CloudExpo

Open Source Cloud: Blog Feed Post

The Basics of Open Source Software By @Protecode | @CloudExpo [#Cloud]

Developers incorporate open source into their projects to accelerate development time

With many organizations incorporating open source code into their software, business managers should have a basic understanding of what open source is all about. After all, Gartner and Accenture report open source adoption rates nearing 100% so it’s likely that your development team is already incorporating open source code into their projects.

So, what is open source? When a developer chooses to make his or her project open source, it gives third party developers the right to tinker and innovate with it. Check out this comprehensive video for an in depth explanation.

Developers incorporate open source into their projects to accelerate development time, thus reducing costs for the organization overall. Most of the time, the code is open to the public; but it is imperative that collaborators refer to a set of chief regulations and terms involved in open source software license management and dispersal.

Here is a brief rundown of some basic terminology:

  • The License: As aforementioned, open source code is free for the public to use and change however seen fit, but it must adhere to the original set of rules, or license, of which it was initially founded. In other words, the license of the original code sets the ground rules for future changes.
  • Branch v. Fork: Anyone may add his or her own features to the original code and in doing so, request the maintainer (the original code creator) to integrate said changes. The maintainer can either accept or deny these changes resulting in a branch or a fork.
  • Upstreaming: If the maintainer consents to the branch, the creator of the change (or the patch) is then dubbed a contributor.  In this scenario, the maintainer is then responsible for updating the original code with the patch. Upstreaming is important in open source coding because it allows the community to test the new code in a multitude of configurations.
  • Collaboration: This term is not necessarily part of open source code jargon; it is more a central aspect in development. By adhering to terms delegated in the license, members of the community can then patch the code or create a fork. Either way, it is up to the maintainer to decide when to upstream or let a developer stray away from the code’s origin.

There you have it, open source boiled down. Still unsure of how this applies to your business? Take some time to learn more about open source software license management.

Read the original blog entry...

More Stories By Lacey Thoms

Lacey Thoms is a marketing specialist and blogger at Protecode, a provider of open source license management solutions. During her time at Protecode, Lacey has written many articles on open source software management. She has a background in marketing communications, digital advertising, and web design and development. Lacey has a Bachelor’s Degree in Mass Communications from Carleton University.

IoT & Smart Cities Stories
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...