In recent years, the field of DevOps has experienced a tremendous transformation. The introduction of Artificial intelligence (AI) and machine learning has brought about a new era of DevOps. With AI, DevOps teams can not only improve their efficiency and accuracy, but the speed in which they can deliver quality products.

In this blog, we will discuss the benefits of AI in DevOps, and finally, how AI and DevOps share a deep interrelation in digital transformation.

Why AI is the future?

Mainly because the significant benefits of AI in DevOps are so numerous:

• Firstly, AI can help DevOps teams to identify errors in the code early on in the development process, which can save time and resources, automating repetitive tasks to free up developers to focus on more complex tasks.

• However, these benefits go beyond just saving time and improving efficiency. AI is also transforming the way we approach software development. By using AI to analyse data and identify patterns, DevOps teams can gain new insights into their processes and identify areas where they can improve. For example, AI can help identify bottlenecks in the development process, highlight areas where code quality can be improved, and even suggest new features or improvements based on user behaviour.

• Predictive analytics: By analysing data from past software releases, AI can predict the likelihood of future issues and provide recommendations for how to avoid them. AI can provide insights into the performance of legacy software, helping to identify areas that need improvement or optimisation.

• AI can help to predict potential failures, allowing DevOps teams to take proactive measures to prevent them.

• Automated testing can be one of the most time-consuming tasks in software development. AI can help automate this process by running tests on code, identifying bugs and errors, and even suggesting fixes.

• AI can be used to optimise resource allocation, ensuring that resources are being used efficiently.

• Continuous delivery: AI can help streamline the continuous delivery process by automatically building, testing, and deploying code changes.

• Incident management: When an incident occurs, AI can help DevOps teams quickly identify the root cause and provide recommendations for how to resolve the issue.

• Finally, AI can be used to provide valuable insights into user behaviour and preferences, helping product teams to develop better products.

AI and DevOps – a deep interrelation

DevOps AI is the future of software development, and it’s a technology that all DevOps teams should absolutely be exploring at this stage in our tech advancement as a culture. From automated testing to predictive analytics and continuous delivery, AI can help streamline workflows and improve efficiency. But more than that, AI is transforming the way we approach software development, providing new insights and opportunities for hyper innovation and in return, deep and intuitive customer satisfaction.

AI and DevOps are innately interrelated, and the benefits of integrating AI into DevOps processes are clearly significant. At Insticc digital, we believe that AI has the potential to assist in developing enhanced products and improve the quality of code across enterprises and sectors locally and globally.

Author: Srinivasa SS Mulakaluri, CEO – Insticc Digital