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12.2.6 M onoliths
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Monoliths exist when you have a single, large build target or a build target that performs many tasks. This can get tricky. It s fairly easy to identify monoliths, but it can be difficult to break them up. Where they occur in the build process can make a difference. You may have one at the beginning of your build that identifies dependencies. At the end, you may have many file copies or copy a large file. The bad news is, monoliths are often unavoidable. You have to use them. But if you do have a monolith, you can ask several questions to try to break it up:
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Is it necessary If it s necessary, is there a faster way Can it be rewritten as MSBuild targets Can it be pushed later in the build process Can it be made optional Should it be run locally (on the build server) rather than on a file server Can it be cached Is it really part of the build or the setup Can it be broken into smaller steps, each one a separate target
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After you ve asked these questions, you may be able to break down the monolith, making it faster and more manageable. There s one more sin to cover: bad dependencies.
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12.2.7 Bad dependencies
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Dealing with bad dependencies is another tricky area. It s almost impossible to resolve all dependencies so that everything builds cleanly. The problem is that sometimes dependencies build correctly, and other times the build fails. Even worse, you may not know exactly why the build failed. Things may build correctly when you run the build serially but fail on a parallel build. Or the build may not fail every time, only when race conditions are just right. A race condition exists when the output of one process is dependent on other processes completing in a specific sequence, but they run in parallel, thus completing in an unexpected order. How do you deal with this issue First, you can run parallel builds often. The more you run them, the more often the race conditions are likely to show up. This will alert you to where the errors are so you can fix them. Second, whenever possible, add the missing dependency. Make sure it exists. Maybe you can serialize that part of the build process and run the rest in parallel. Finally, you can centralize build rules. Doing so helps eliminate mistakes. Don t copy the same build code into multiple build files for the same project; this increases the chances that one build script will be changed and another won t. In other words, follow the same rule for your build scripts that you would for source code: don t copy and paste code into multiple files. Put things in one place and one place only. We ve covered a lot of ground discussing ways to speed up your build. We ve talked about things as simple as adding more hardware and as varied as the seven deadly sins of slow builds. But you may have to deal with other issues as your CI process grows. Next, let s scale.
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12.3 Scaling CI
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Your CI setup grows. You have more and more projects working on the build server. You ve done your best to minimize the time the build takes to run, but the CI server is overloaded. You have many projects, and you work with many developers. The changes are pouring in more quickly than the build server can process them. One option is scaling up (in other words, scale vertically) by buying more memory for the server, switching the processor for a better one, or adding disk space. It s easy, but you may bump the ceiling. What if you can t scale higher Try scaling out.
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