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Improve your System Maintenance by Using Machine Learning – Gintaras Sakalas & Kęstutis Daugęla, SEB

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Our solution for log anomaly detection helps administrators to spot an abnormal server behavior and act immediately. Four different approaches (both machine learning and rule based) were implemented in order to get the insights from Apache Kafka server logs. On top of that, custom anomaly management application was built for managing recurring events, tracking specific events and root cause analysis.

Key Takeaways

  • Different models for anomaly detection in system logs
  • Transition from reactive to proactive system administration
  • Increased knowledge of the system as a side effect

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