Flask application for collecting reports

This thesis addresses the problems of observability in modern software development and the growing need for open-source adaptability layers between different monitoring applications. Main goal stated for the thesis is the development of a Flask application that translates inputs from multiple reporting formats into one common format, which allows for the centralization of reporting from numerous different parts of a software stack into one common database. The theoretical part of this application aims to explain the requirement for observability from both a technical and a business side, demonstrating the devastating impact that insufficient monitoring can have on a company with specific case studies. Further on, the thesis explains the different file formats commonly used in data manipulation, discusses trade-offs and uses. The practical part details the creation of application for the collection of software reports in varying formats, their translation and output in one common language. It contains the requirements for the application, high-level system design, discussion of the implementation and deployment, as well as robust automated testing. The outcome of this work is a fully functioning and deployed open-source application, thor- oughly documented, as well as supporting infrastructure for automated CI/CD building, testing and deployment.