Using containers in a continuous integration and delivery environment : A performance and scalability comparison

With a software industry that is moving at a fast pace, continuous integration and delivery is something important for many products today. Moreover, with containers being on the rise since 2013, more companies are moving their CI/CD environment into containers not only for development but also for testing. This thesis begins with giving the reader an introduction to containers, container orchestration, and Jenkins, which is a continuous integration and delivery tool. The experiment was then set up with one container based cluster and one single node machine. Two kinds of experiments were run on them, one big job and one small job. The system scalability is assessed, and with smaller clusters the memory overhead could be an issue. Performance wise, the container cluster is performing better than a single node machine, as long as it is utilizing all its nodes. Security with containers is still an issue and it could be fatal for a cluster if it is compromised