Database monitoring and routine maintenance projects

Source: Internet
Author: User
Tags log log memory usage system log

Serial number Device type Content/Parameters Parameter type Note
1 Operating system Hierarchy System log State Check the log for ERR or warning
Number of processes Performance parameters Check that the number of system processes is relatively stable
System CPU Utilization Performance parameters Reference value Idle > 50%
System memory Utilization Performance parameters Reference value free > 10%
System IO Requests/sec Performance parameters Reference Values < 4000
System IO Request volume/slightly Performance parameters Reference value < 100M
Network traffic Performance parameters
Space utilization Performance parameters Reference value free > 10%
2 Database hierarchy Availability of the database system State Check that the database is available
Database log State Check the log for ERR or warning
Number of database processes/sessions Performance parameters Check that the number of database processes is relatively stable
Database Buffer Area Performance parameters Reference value: 50%-70% of total memory
Database buffer hit Ratio Performance parameters Reference Values > 95%
Database Space Idle Rate Performance parameters Reference Values > 20%
Database Space Fragmentation Rate Performance parameters Reference Values < 10%
Memory Sort Rate Performance parameters Reference Values > 90%
Lock wait Performance parameters Reference value: No lock wait





Daily Database Maintenance Project
Serial number Device type Maintenance jobs Cycle Note

Operating system level System Log Check Days
Log log Check Days
Disk space Check Days
CPU utilization Check (peak and average) Days
Memory usage Check (peak and average) Days

Database level Database status Checks Days
Log file Check Days
Backup Status Check Days
Remaining space check Days
Monitoring database Performance Days
System Resource Check Days
Fault Handling Days
Check for invalid database objects Week
Check for constraints that don't work Week
Collect aggregated performance data based on monitoring services Month
Analyze the performance data collected above to identify bottlenecks and optimize Month
Compare historical data to pre-contract future performance issues Month




This article is from the IT system operations blog, so be sure to keep this source http://hichuann.blog.51cto.com/1024435/1553564

Database monitoring and routine maintenance projects

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