How AIOps can prevent system failures

View profile for Rishav Sanson

Senior Solution Architect @NewRocket | Kaggle Cohort Advisor 2024| ServiceNow | AIOps | ITOM | ITSM | Deep Learning | GenAI | Predictive Intelligence | Virtual Agent | Health Log Analytics | AI Agents | Now Assist * |

As we all know, on July 19, 2024, CrowdStrike faced a critical issue with a content update for Windows hosts, causing crashes and blue screen errors. This incident highlights the importance of proactive measures in preventing and mitigating such issues. I have created an article and scenarios that demonstrate how Artificial Intelligence for IT Operations (AIOps) can play a vital role in achieving this proactive approach. AIOps leverages advanced analytics, machine learning, and automation to identify and address potential problems before they escalate into critical system failures. In the context of the CrowdStrike issue, AIOps could have: 1. Predicted the Issue: Analyzed historical data and real-time system metrics to predict the likelihood of a content update causing system crashes. 2. Automated Root Cause Analysis: Quickly identified the root cause of the issue, reducing the time spent on troubleshooting. 3. Proactive Remediation: Automated the remediation process, ensuring that the fix was applied swiftly and uniformly across all affected systems. By leveraging AIOps into IT operations, organizations can significantly reduce the risk of critical system failures and ensure faster recovery when issues do occur. As the complexity of IT systems continues to grow, the role of AIOps in maintaining system resilience will become increasingly vital. Read the full article to learn more about how AIOps can revolutionize incident management and ensure the reliability and stability of critical systems. #crowdstrike #servicenow #AIOps #GenAI

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