A fog computing architecture represents a solution for the challenges introduced by modern distributed systems containing countless heterogeneous and interconnected components. Monitoring these fog computing architectures is typically achieved by central cloud monitoring platforms, which result in increased network traffic and static responsibilities of maintenance teams. Decentralized Observability addresses the challenges above by transferring the responsibility of monitoring a system from a central cloud monitoring platform to each of the individual components. In the course of this thesis, we will try to integrate this approach into the declarative component-based Apodini framework and use its Domain-Specific Language (DSL) to automate most of the resulting observability overhead. The thesis contributed to the Apodini open source project: https://github.com/Apodini/Apodini.