Best Practices to Maintain Oracle RAC DB Performance Using Oracle 21c Autonomous Health Framework
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Posted by Quest Customer Learning Team
- Last updated 4/12/21
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Presented at INSYNC 21
Session ID: 101400
This session focuses on how Oracle is applying Machine Learning technologies in Oracle to prevent performance issues and maintain availability. Autonomous Health architectures and algorithms are covered for both Autonomous Database and on-premise deployments. Deep dive use cases detail their use to proactively detect performance degradation through the phases of detection, root-cause analysis and targeted corrective actions. Actual use cases protecting session, database instances, nodes and storage are presented. Next, diagnostic use cases for rapid recovery monitoring configurations, log and trace files where analysis is based upon anomalous events and record signatures. The final section will cover integration into DevOps processes.
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