Situation - description of current online campaign solution, what data to collect in indexes from different data sources Challenges - learning how to code timelion expressions, what problems appeared in online monitoring, how we evaluated system orchestration, need of using identifiers across systems (customer, session, time) Insight - root cause identification of errors, view on campaign evaluation, ML models learning monitoring report Motivation - presenting next steps: business tools overcome standard IT processes, instant quality check, departments cooperation challenges