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In the last years, one of the fields of artificial intelligence that has beeninvestigated the most is nature-inspired computing. The research done on thisspecific topic showcases the interest that sparks in researchers andpractitioners, who put their focus on this paradigm because of the adaptabilityand ability of nature-inspired algorithms to reach high-quality outcomes on awide range of problems. In fact, this kind of methods has been successfullyapplied to solve real-world problems in heterogeneous fields such as medicine,transportation, industry, or software engineering. Our main objective with thispaper is to describe a tool based on nature-inspired computing for solving aspecific software engineering problem. The problem faced consists of optimizingInfrastructure as Code deployment configurations. For this reason, the name ofthe system is IaC Optimizer Platform. A prototypical version of the IOP wasdescribed in previous works, in which the functionality of this platform wasintroduced. With this paper, we take a step forward by describing the finalrelease of the IOP, highlighting its main contribution regarding the currentstate-of-the-art, and justifying the decisions made on its implementation.Also, we contextualize the IOP within the complete platform in which it isembedded, describing how a user can benefit from its use. To do that, we alsopresent and solve a real-world use case.

Optimizing IaC Configurations: a Case Study Using Nature-inspired Computing