1. Check the error log for the MySQL 1823 error:
$ tail -f /var/log/mysql/error.log
2. Check the MySQL configuration file for any misconfigurations:
$ cat /etc/mysql/my.cnf
3. Check the MySQL process list for any suspicious activity:
$ mysqladmin -u root -p processlist
4. Check the MySQL user table for any suspicious users:
$ mysql -u root -p -e "SELECT User, Host FROM mysql.user;"
5. Check the MySQL grant tables for any suspicious grants:
$ mysql -u root -p -e "SELECT * FROM mysql.db;"
6. Check the MySQL system variables for any misconfigurations:
$ mysql -u root -p -e "SHOW VARIABLES;"
7. Check the MySQL status variables for any misconfigurations:
$ mysql -u root -p -e "SHOW STATUS;"
8. Check the MySQL log files for any suspicious activity:
$ tail -f /var/log/mysql/mysql.log
9. Check the MySQL slow query log for any suspicious queries:
$ tail -f /var/log/mysql/slow.log
10. Check the MySQL binary log for any suspicious activity:
$ mysqlbinlog /var/log/mysql/mysql-bin.log
11. Check the MySQL error log for any suspicious activity:
$ tail -f /var/log/mysql/error.log
12. Check the MySQL audit log for any suspicious activity:
$ tail -f /var/log/mysql/audit.log
13. Check the MySQL performance schema for any misconfigurations:
$ mysql -u root -p -e "SELECT * FROM performance_schema.setup_consumers;"
14. Check the MySQL system tables for any misconfigurations:
$ mysql -u root -p -e "SELECT * FROM information_schema.tables;"
15. Check the MySQL system views for any misconfigurations:
$ mysql -u root -p -e "SELECT * FROM information_schema.views;"
16. Check the MySQL system functions for any misconfigurations:
$ mysql -u root -p -e "SELECT * FROM information_schema.routines;"
17. Check the MySQL system triggers for any misconfigurations:
$ mysql -u root -p -e "SELECT * FROM information_schema.triggers;"
18. Check the MySQL system events for any misconfigurations:
$ mysql -u root -p -e "SELECT * FROM information_schema.events;"
19. Use an automated database observability tool to monitor and fix the MySQL 1823 in question. Automated database observability tools can provide real-time insights into the performance and health of your database, allowing you to quickly identify and fix any issues that may arise. Additionally, these tools can provide detailed metrics and logs that can be used to troubleshoot and diagnose any issues that may arise.