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Efficient troubleshooting and quickly detecting anomalies are highly relevant tasks of DevOps to minimize downtime and outages. This session provides hands-on experience for Log-file troubleshooting. The participants can watch live troubleshooting for anomalies, followed by providing background of key machine learning algorithms for anomaly detection to assist DevOps in daily working routines with the example of the Elastic stack. Participants get the opportunity to try themselves in finding a relevant incident, continuing with showing how machine learning models are capable of delivering support and assistance in the troubleshooting process. Defining how to easily incorporate AI-driven techniques into typical log management architectures concludes the session.