Build vs. buy in performance engineering: why open-source testing isn’t always the cheaper option
Every engineering leader has had this conversation at least once. A team is scoping a new performance engineering initiative, and someone floats the obvious first option: why not just use an open-source tool? It’s free to download, there’s a big community behind it, and the team already knows the basics. On paper, it looks like the fiscally responsible choice.
In practice, the build vs. buy decision in performance engineering is rarely about the price tag on day one. It’s about what happens on day 90, when test coverage has grown, release cycles have compressed, and the application stack extends well beyond the web and API use cases where many open-source tools are strongest.
Many organizations have already invested in open-source testing assets and expertise. The goal is not necessarily to replace those investments, but to identify where additional capabilities can help teams scale testing, strengthen governance, broaden protocol coverage, improve...
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