Monitoring tools for the CMS muon detector: present workflows and future automation

The CMS Muon System has been operated successfully during the two LHC runs allowing to collect a very high fraction of data with a quality that fulfils the requirements to be used for physics analysis. Nevertheless, the workflows used nowadays to operate and monitor the detector are rather expensive in terms of human resources. Focus is therefore being put on improving such workflows, both by applying automated statistical tests and exploiting modern machine learning algorithms, in view of the future LHC runs. The ecosystem of tools presently in use will be presented, together with the state of the art of the developments toward more automatized monitoring and the roadmap for the future.