Operations | Monitoring | ITSM | DevOps | Cloud

I asked ChatGPT what a software development tool is and got the following response: Software development tools help developers create and deploy software. Examples include code editors, IDEs, and version control systems. They make coding easier, debugging faster, and collaboration smoother. While I agree with most, I’m missing the clear focus on software increments to improve software quality and achieve operational excellence.

It’s no secret that every ITOps leader can face an ever-increasing amount of alerts. Since the dawn of digital, alerts have served an important purpose. Sometimes all those alerts can become overwhelming noise, and sorting out what is and is not a priority can become challenging. The good news is that artificial intelligence (AI) and machine learning (ML) are adept at processing large data sets in real time, looking for patterns and being able to aid in decision making.

Artificial Intelligence (AI) has become a buzzword in recent years. From chatbots to self-driving cars, AI has transformed how we live, work, and interact with the world around us. AI technology has been deployed across various sectors, including healthcare, finance, manufacturing, and more, to improve efficiency, accuracy, and decision-making capabilities. However, as AI systems become more complex, monitoring them to ensure optimal performance and prevent issues or errors becomes crucial.