After joining a new company, Ivan was assigned to work with a Python task server on a legacy project, the project provides raw data from various sources to multiple upstream, things were broken and unstable, how did it end up?

Technical debts, lack of visibility, out-of-memory issues, spaghetti code, inconsistency in logging and error handling, etc. are what Ivan was facing. Listen to him how a team of data DevOps and Data Engineers dealt with these issues.