| |June 20199CIOReviewout data, lots of data, enabling team members to spend time on more meaningful tasks.As AI and machine learning (ML) are implemented, teams will have access to better data with the ability to analyse and predict behavioural trends. Project managers are exploring delivery velocity and data that a CI/CD process generates. However, most managers, even today, fail to notice the correlations between the failures and bugs. I think as the processes are automated, DevOps will become more sophisticated. Force on Site Reliability Site reliability engineering which, so far, has evolved and runs independently on DevOps. Today, experienced managers are noticing that teams are solving and addressing the same problems occurring in areas of production management. The only difference between the two areas is the method used to address the problem which is often sent to DevOps to solve without involving the developers. I believe as DevOps and the related processes mature, the lines between the two groups will start to blur. Self-Service in DevOps As the DevOps mindset becomes part of internal cultures and DevOps matures, teams will start breaking down cost, scope and dependency barriers. AI and machine learning are providing the means to automate the DevOps process which will enable one-touch deployment in the future. Automated Testing and Quality Assurance Automated testing for Quality Assurance (QA) is increasing. Companies are discovering how DevOps can make a positive and significant impact on QA testing. Traditionally QA would appear at the end of the development process. However, today the process is different. To ensure a one hundred percent code coverage with automated test cases, it will require the QA manager to align to the DevOps cycle earlier in the development. By adding DevOps earlier in the process through automation, the teams can produce faster deployments. Better Pay Hikes for DevOps The demand for skilled DevOps developers and managers continues to increase as more and more companies use the methodology. Most DevOps individuals are experienced coders and can effectively manage infrastructure deployments. With the plurality of skills, most DevOps engineers can command more income in the job market. Businesses that apply DevOps efficiently will experience an agile and faster software process. Adapting DevOps allows applications and technology solutions to empower businesses with faster and better-quality outputs. Savvy managers are applying the same principles to solve bottlenecks in other processes or expanding the scope to include teams outside of their department to solve more substantial issues. Key Things to Remember:· It's a mindset, not a tool· Incorporate AI· Automate everything
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