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continuous delivery

The Key Principles of Continuous Delivery

In the seminal book Accelerate, Forsgren and her co-authors provide empirical evidence that Continuous Delivery has a positive impact on the performance of software development organisations. If organisations neglect some of the principles and practices of Continuous Delivery, their performance will suffer. They will reach the point where simple changes will take ages to implement. Not so with Continuous Delivery.

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Can We Use Trunk-Based Development for Legacy Software?

Not right away! Trunk-Based Development requires that the software builds and passes enough tests, before we integrate our changes into the main branch (a.k.a., trunk). We have enough tests, if breaking the software is highly unlikely. By definition, legacy code has no or not enough tests. Hence, we cannot apply trunk-based development right way, but should evolve our development process towards it.

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A Basic Continuous Integration Pipeline with GitHub Actions

In a previous post, I built a basic CI pipeline with CTest that uploaded its results to a CDash board. It worked fine except that we had to start the pipeline manually from the command line. In this post, we define a pipeline with GitHub Actions that runs the CI pipeline whenever a developer pushes a code change to a GitHub repository.

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