Where is DevOps Headed for 2020?
Summary
As more data enters the world, artificial intelligence (AI), machine learning, and automation will continue to play bigger roles in nearly every industry. The technology might be able to predict how code will act based on past activity and formal logs or may potentially manage certain standardized testing approaches, speeding up the development process. Inefficiencies or bottlenecks can be identified, recurrent issues can be found, and other problems that are hindering productivity can be brought to the attention of stakeholders, creating opportunities for course corrections and grander improvements. While many of the core DevOps tools are still part of the equation, as well as newer technologies like AI automation, DataOps also requires some changes. Contact usto discuss your thoughts or questions with one of our specialists today and see how our tech trend expertise can benefit you.