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.

Presented at INSYNC 21

Session ID: 100350

Attend the first-ever Oracle Maximum Availability Architecture (MAA) Special Interest Group (SIG) meeting at Quest INSYNC 2021! The need to deliver increasing levels of availability continues to accelerate as enterprises reengineer their solutions. Given this fact, we will provide an update on the former Oracle RAC SIG along with an overview of the goals and objectives of the MAA SIG. Join this session to meet the new board and to learn about upcoming webinars as well as other activities going forward. The current Oracle Liaisons Anil and Markus will answer questions and receive feedback around topics such as Oracle MAA, HA and Scalability. Looking forward to virtually meeting you in our inaugural MAA SIG session!