| Summary: | Software complexity continues to accelerate, as new tools, frameworks, and technologiesbecome available. This, in turn, increases its fragility and liability. Despite the amount ofinvestment to test and harden their systems, companies still pay the price of failure. Towithstand this fast-paced development environment and ensure software availability, largescalesystems must be built with resilience in mind. Chaos Engineering is a new practicethat aims to assess some of these challenges. In this thesis, the methodology, requirements,and iterations of the system design and architecture for a chaos engineering tool arepresented. In a matter of only a couple of months and the working hours of two engineers, itwas possible to build a tool that is able to shed light on the attributes that make the targetedsystem resilient as well as the weaknesses in its failure handling mechanisms. This toolgreatly reduces the otherwise manual testing labor and allows software engineering teamsto find potentially costly failures. These results prove the benefits that many companiescould experience in their return of investment by adopting the practice of ChaosEngineering.
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