In the contemporary digital landscape, technology and data processing play pivotal roles, significantly influencing diverse facets of our lives, particularly within the realm of IT firms. Efficiently managing vast amounts of data requires solid architectures, especially as modern data complexities demand advanced solutions. This thesis explores the details of monitoring resources and detecting issues in system management. It addresses challenges such as scalability, security issues, and the complexities of centralized architecture, going beyond specific company contexts. The goal is to contribute by creating an open-source alternative to Oracle OMS and Oracle Enterprise Manager systems, emphasizing accessibility and scalability. This choice emphasizes enhancing accessibility and scalability, promoting transparency, collaboration, and adaptability in resource monitoring and issue detection within system management.