Brainstorming – Common DevOps Use Cases in Some of the Biggest Companies in the World

Brainstorming

Well, by now, you probably know where this is heading, so let me share my personal experience on how I usually use generative AI in my daily life. It is a useful tool, as most of you who read this book will attest to unless you are staunchly against AI or have all the information in the world stored in your head. If you have the latter, contact me and tell me what actually happened with The Sopranos ending.

I use generative AI to lay down the steps towards a solution and frame it in a way that I can understand and modify according to the context I may have given, or ones which it hasn’t been trained on yet. This is so much easier than having to look at a tutorial whenever I have to find a way to fix something, and then when that tutorial is incomplete, having to find another one. With generative AIs such as ChatGPT, the tables are turned; it is my prerogative now to be impatient and that of the generative AI to be persistent and patient with my requests. This is amazing because, honestly, thinking is exhausting, especially if you have to think about the same thing over and over again. It makes your mind go numb, and it reduces your productivity. The people of Intertech came to the same conclusion.

If you want to follow along with the child analogy, this is like having a magical force that will change the diaper and wrap it around the child just waiting for you to put the pin on it. So, in that vein, if there is a repetitive task that comes in and is simple enough, it can hamper productivity through all of these ways. In such cases, it is generative AI that can come to the rescue. Any of you who have ever used it know how useful ChatGPT is at this. In fact, in my personal experience, the most useful thing that ChatGPT does for me is explaining lines of code that I paste into it. It would take me more than the several seconds that it takes ChatGPT to do it because I simply cannot collect the information as fast as the AI can. So, now that we have justified our generative AI solution, let’s see how Intertech – who came to a similar conclusion – used these concepts and integrated them into their DevOps and Azure workloads and tasks.