Automating Troubleshooting Network Issues with AIOps and Machine Learning

Network issues can significantly impact an organization's productivity and profitability. Traditional troubleshooting methods are often time-consuming and reactive, relying on human expertise to identify and resolve problems. The emerging field of AIOps offers a promising solution by leveraging machine learning and advanced analytics to automate the troubleshooting process. This paper explores the use of AIOps and machine learning in automating network troubleshooting, presenting real-life scenarios, a high-level architecture, and a comprehensive diagram to illustrate the approach.