Root cause correlation
Root Cause Correlation (RCC) finds a root cause by automatically correlating metrics, logs, and event information for supported symptoms on production instances for the last 24 hours.
RCC symptom categories
The RCC feature is available for self-service alerts and Critical or Warning performance symptom categories:
The table describes the symptom categories and the corresponding alerts that the RCC engine detects.- Memory
- Longest running sessions
- Slow transactions
- Cache flush
- Database locks
- Database impacts
| Symptoms categories | Description | Corresponding alert |
|---|---|---|
| Database Impact | Helps you to identify and address extended SQL queries impacting database performance, tied to high execution time, or increased volumes. The query patterns give snapshots of 30-minute and 60-minute durations from the time that the impact is observed on query execution times. | Database response time |
| Cache Flush | Cache flushes and node restarts are detected, as well as high service saturation levels that may have occurred around the time a performance alert was triggered. | Default semaphore mean |
| Longest Running Session |
|
Default semaphore mean |
| Slow Transactions |
|
Default semaphore mean |
| Memory |
|
Node Garbage Collection Time |
| DB locks | The RCC engine monitors innodb_row_lock_waits and threads_running to detect anomalous database lock events that occur when a database operation requires exclusive access. | Threads running |
Remarque :
As soon as any of the aforementioned alerts or Critical or Warning performance are identified, the system automatically generates an RCA report after waiting for a maximum of 10 minutes, depending on the
conditions.