Präsentation während der DOAG 2022 Konferenz + Ausstellung, die von Dienstag, den 20. September 2022 bis Freitag, den 23. September 2022 in Nürnberg stattfinden wird:
Applied Machine Learning for Autonomous Database Health
Focus on how Oracle is applying various Machine Learning technologies to the area of AI Opts to prevent performance issues and maintain availability. Details about the architectures and algorithms used for this Autonomous Health initiative will be covered for both cloud and on-premise database deployments. Specific operational use cases will be covered detailing the strategies and algorithms used to proactively detect performance degradation through the phases of detection, root-cause analysis and targeted corrective actions. The first section will focus on detection based upon data from the O/S and software layers and how normality can be determined and deviations detected in realtime with the goal of preserving session, database and infrastructure availability. The second section on detection based upon log and trace file data were the analysis is based upon anomalous events or log record signatures. The final section will cover integration into DevOps processes.1. Attendees will understand the requirements and challenges of runtime fleet and cloud operations.2. Attendees will understand the applied machine learning strategies and algorithms utilized for real-time prevention or rapid recovery of performance and availability issues.
Die Präsentation findet am Donnerstag, den 22. September 2022 um 16:00 Uhr (CEST) im Raum Helsinki statt.
Der Referent ist Troy Anthony, ORACLE
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