The paper is focused on computational experiments on a system of continuous integration within the available infrastructure of MPD Root project. Test results of execution speed and its optimization options are presented for the builds in question. The load of a computing node employed in continuous integration was analyzed in terms of performance of the central processor, RAM, and network connections. Various parameters of the build's parallel launch on different computing nodes were considered. Thus, we substantially decreased the build time: from 45 to 2-3 minutes. The optimization was ensured by means of caching the project's dependencies and environmental components. Caching was done by Docker container manager.