The DevOps movement
of manual and error-prone tasks for greater productivity . In addition to this , analytics techniques will become adopted at every step in the software development lifecycle . This will , as an example , enable the prioritization of any backlogs in order to maximise customer satisfaction and shorten the time to resolve any application problems . Analytical systems will be able to ingest big data , including human and machine data , using machine learning , deep learning and NLP among other techniques .
An aggressive ‘ shift left ’ This , in which the teams focus on quality and work on problem prevention instead of detection and begin testing earlier than ever before , is expected across all industries . Alongside this , CIOs will depend more on their development teams to guide the technical direction of the company .
Historically , development teams have taken a top-down approach to move their
The DevOps movement
The DevOps movement started to coalesce some time between 2007 and 2008 , when IT operations and software development communities raised concerns about what they felt was a fatal level of dysfunction in the industry .
They railed against the traditional software development model , which called for those who write code to be organizationally and functionally apart from those who deploy and support that code . technologymagazine . com 47