GitLab CI Caching Didn’t Speed Up My Pipeline — Here’s Why

Most DevOps guides say: “Enable caching — it will speed up your CI pipelines.” I’ve done that many times in my career. Here I'd like to share with you some of my thoughts on the topic illustrating ...

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GitLab CI Caching Didn’t Speed Up My Pipeline — Here’s Why

Source: DEV Community

Most DevOps guides say: “Enable caching — it will speed up your CI pipelines.” I’ve done that many times in my career. Here I'd like to share with you some of my thoughts on the topic illustrating it with a little experiment. I built a small GitLab CI lab, added dependency caching. Are you expecting faster runs? The result might surprise you: My pipeline didn’t get faster at all. In fact, in some cases, it was slightly slower. Before jumping to conclusions — this is not a post against caching. Caching worked exactly as expected. It just didn’t translate into faster pipeline duration in this particular setup. And that’s the part worth understanding. This article is not about how to enable caching. It’s about what actually happens after you enable it — and why the outcome might not match expectations. What I Wanted to Test I wanted to validate a simple assumption: Does dependency caching really reduce pipeline duration? Where does the improvement come from? When is caching actually worth

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