Monitored technologies · Databases

IBM DB2 Monitoring

Usage, availability and health of IBM DB2 databases under continuous monitoring, on servers running any operating system.

Practical support for DBAs

DB2 is IBM’s RDBMS (Relational DataBase Management System), a database system based on the relational model that competes with Oracle for leadership of the relational database market.

To support DBAs, Sentinet³ provides the Sentinet³ DB2 Pattern, a comprehensive package of checks that analyses system usage, availability and health. Monitoring of IBM DB2 servers is continuous and flags potential problems before they hit the system.

At a glance
PatternSentinet³ DB2 Pattern
ScopeServers running any operating system, database performance
Sentinet³ console: detail view of a monitored service with status, check timings and run-time commands
Sentinet³ console: status and detailed parameters of a monitored service.
What it checks

The Pattern’s checks

The Pattern includes 19 checks. Each has configurable thresholds and generates a notification when values exceed them.

Server (any operating system)

CheckWhat it verifies
ReachabilityThe server responds on the network
CPUPercentage of CPU utilisation
MemoryMemory usage
DiskFree disk space

Database performance

CheckWhat it verifies
Backup FileWhether backup is active or not
Buffer Pool Block SizeBlock size of the buffer pool
Cpu ParsingPercentage of CPU spent on parsing
Cpu RecursivePercentage of CPU spent on recursive calls
Bg Elapsed TimeTime spent in background processes
Free Shared PoolFree memory in the shared pool
Free SgaFree memory in the System Global Area
Ts SizeFree space in the tablespace
Ts StatusTablespace status and its free space
UsersListList of database users
User StateUsers connected to the database
DB SizeDatabase size
Shutdown Pending StateWhether a shutdown is pending
Long QueryWhether long-running queries are present
Last AnalyzedDate of the last analysis run on the database
Why it matters

Like having a virtual DBA at your side

  • Prevention: continuous monitoring reports potential problems before they hit the system.
  • Best practice: the information gathered helps eliminate weak points, improve replication and optimise performance.

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