From the course: GitHub Advanced Security Cert Prep by Microsoft Press

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Optimize CodeQL analysis runtimes

Optimize CodeQL analysis runtimes - GitHub Tutorial

From the course: GitHub Advanced Security Cert Prep by Microsoft Press

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Optimize CodeQL analysis runtimes

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- [Instructor] Here, this is a reminder that time is money. Well, ain't that the truth? I guess less than over. Let's call this video training course finished. Now it's about, again, balance. It's about make sure that you're configuring CodeQL in however you choose to do that, and we've talked about shareable config files and so on. Focus on specific areas, not the whole code base. It's again, what I said a few lessons ago. Just because you can do a thing doesn't mean you should. You're paying for the underlying run minutes because CodeQL is on top of GitHub actions. And GitHub actions is on top of virtual machines in the cloud that you're paying for. Caching is an important concept in terms of cost saving and performance tuning for your workflows. In fact, I'll include a little on the demo on the subject. Caching your queries to GitHub's content delivery network means that frequently used artifacts and dependencies can be made available to the GitHub-hosted cloud runners much faster…

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