7.3.2 Automated Cloud Scale Performance Monitoring

Starting with Oracle Exadata System Software release 19.1.0, Exadata Database Machine provides automated, cloud-scale performance monitoring covering a wide range of sub-systems, including CPU, memory, file system, IO, and network. This feature combines artificial intelligence, years of real-world performance triaging experience, and best practices.

Oracle Exadata System Software can automatically detect performance issues and figure out the root cause without human intervention. Examples of how this feature operates include:

• If a spinning process is taking up all the resources on the system and impacting database performance, Oracle Exadata System Software automatically detects the CPU spin, pinpoints the exact process that is causing the spin, and generates an alert.
• If the Oracle database is not properly configured with huge pages according to the best practice recommendation, Oracle Exadata System Software automatically detects the misconfiguration and generates an alert for the affected database instances.

There is no configuration required for this feature. To receive alerts, you must configure the notification mechanism. See Monitoring Requests and Alerts for Oracle Exadata Storage Server and ALTER DBSERVER.

As a part of this feature, Management Server (MS) is enabled on user domains (domU) in addition to storage servers, database servers (bare metal configuration), and management domains (dom0).

Minimum requirements:

• Oracle Exadata System Software 19.1.0