Machine Learning allows companies to be efficient, search for patterns in data, automate and make decisions with minimal human intervention. Learned algorithms solve defined tasks in real time and based on input data. At the same time, they learn from the new data and adapt to changing conditions.
A new spell called DevOps has appeared in IT. After ITIL, Agil, ISO, Security, ServiceDesk, SLA ... we still need DevOps. Why? Because DevOps is being talked about, the competition boasts that DevOps is introducing, or already has in place, customers are threatening that if we don't have DevOps, they don't want us. Is DevOps a new fashion or a useful "tool" for IT? And "what" is DevOps actually?
Do you work as a system administrator? Are you worried about losing your job? Learn how to work with OpenShift. Thanks to automation and OpenShift, you will gain an indispensable place in the company for many years to come.