{"id":4572,"date":"2020-03-20T12:42:19","date_gmt":"2020-03-20T12:42:19","guid":{"rendered":"https:\/\/www.kovair.com\/blog\/?p=4572"},"modified":"2020-03-20T12:42:19","modified_gmt":"2020-03-20T12:42:19","slug":"role-of-machine-learning-in-devops","status":"publish","type":"post","link":"https:\/\/www.kovair.com\/blogs\/role-of-machine-learning-in-devops\/","title":{"rendered":"The Role of Machine Learning in DevOps"},"content":{"rendered":"

\"The<\/p>\n

Artificial intelligence (AI) and machine learning (ML) are advanced technologies in the IT world. It is a perfect combination and helps in both the private and professional lives of individuals. If your field is related to eCommerce, software or a mobile application.<\/p>\n

There is a golden chance for everyone; whether you have started your career or running a business. But it is important to understand the fundamentals of AI, ML, and other emerging technologies in today\u2019s world.<\/p>\n

AI and ML also help in DevOps, both perform their task with efficiency and to enhance the performance of teams and help to grow business. Developers can take the advantages of AI and ML to their benefits.<\/p>\n

A company that desires to automate DevOps, needs to build a custom AI\/ML layer. However, the primary step is to determine a robust DevOps infrastructure. Once the infrastructure is made, AI\/ML is often applied for increased efficiency. AI\/ML helps DevOps teams to increase creativity and innovation by allowing teams to manage the quantity, speed, and variability of knowledge. Hence, it increases the automated enhancement and a rise in the DevOps team\u2019s efficiency.<\/p>\n

DevOps is a well-established set of practices based around Continuous Integration, Continuous Deployment (CI\/CD) and infrastructure. DevOps tools are famous for making software development projects<\/a> to speed up their work in developments. There is an algorithm that performs operations & procedures, allowing those tools in DevOps to execute effectively.<\/p>\n

Artificial Intelligence, Machine Learning are the driving forces for DevOps<\/h2>\n

The term DevOps is basically AI-driven, it helps to manage the huge capacity of information and computation in everyday operations. AI has the potential to become the first tool for assessing, computing and decision-making procedures in DevOps. AI can change how DevOps teams develop, deliver, deploy and organize applications to enhance their performances and the business operations of DevOps as well.<\/p>\n

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The combination of Machine Learning (ML) and DevOps are as follows<\/h2>\n