Organizations are continuously seeking to grow, have better customer relationships, and provide user experiences that edge out rivals, digital acceleration is gathering pace. The IT industry, in particular, and its role in large-scale production environments has grown exponentially complex, with companies investing in AI solutions and increasingly preoccupied with questions such as: “what is hyper-automation?”
Monitoring technology gives visibility into these highly disseminated IT environments. AI monitoring systems, in turn, use more components that help streamline complexities and usher in a shift from reactive to proactive decision-making. Throughout this article, we’re going to take a look at the best methods available to you in leveraging AI in your automated Kubernetes monitoring.