What are DevOps and DataOps?
5 min readMar 7, 2020
Most ML models that are deployed and go live need to be operated, maintained and supported.
In traditional IT, software solutions are developed by one team and are then handed over to another team to do the operations and keep the lights on. This sounds logical at first, because every team can specialize in a narrow skillset in order to do their tasks better.
However, the traditional IT operations model has several major drawbacks. The most obvious one is that the development team and operations team have different KPIs:
