Each time, I had to look up what it meant. Reason enough to write about it to make it stick. Most software components have dependencies to other components. Applying the Dependency Rule, we can safely say that component A is upstream from component B which is upstream from component C even though the arrows point in the other direction. This is a rather common development style in open source projects: we create a fork of a project, fix a bug or add a feature in that fork and then Upstream Downstream Concept Journal submit a patch to the original project.
The Value Rule applies as well: since project B adds a new feature or bugfix, it has added value to the original project A. So, each time we contribute a patch to an open source project we can say that we have sent a patch upstream. Service B is the upstream service since service A depends on it. And service A is the downstream service since it adds to the value of service B.
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I love sharing the things I learned, so you and future me can get a head start. Join more than 2, software engineers who get a free weekly email with inspiration to grow as a software engineer. Join more than 4, readers. Upstream and Downstream Software Dependencies Most software components have dependencies to other components. Consider this figure: Component C depends on component B which in turn depends on component A.
Consider the projects A and B, where A is an original project and B is a fork of A: This is a rather common development style in open source projects: we create a fork of a project, fix a bug or add a feature in that fork and then submit a patch to the original project. Unsurprisingly, both the Dependency Rules and the Value Rule also apply to this context. The closer a service is to the user or any other end-consumer , the farther downstream it is.
Tom Hombergs. Have a look at the previous newsletters to see what's coming. On This Page. Follow Reflectoring.
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