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Which utility monitors database usage and provides statistics to the DBA?
Nagios is a database monitoring tool also offering MySQL monitoring, Postgres monitoring, Oracle monitoring, DB2 monitoring, and Microsoft SQL Server monitoring. It comes in two versions: Nagios Core is open source, popular, and is driven by a large community of support, while Nagios XI is the paid version.
What database does Nagios use?
By default, Nagios Core does not use any database and the NCPA agent uses a SQLite database.
Can Nagios monitor SQL Server?
Nagios XI provides complete monitoring of MSSQL – including availability, database and table sizes, and a number of other key metrics! The easy to use built-in MSSQL Database Wizard features metrics like: Connection time.
What do you need to know about database monitoring?
Database monitoring is the process of measuring and tracking database performance according to key metrics influencing it. These metrics are typically monitored in real time, allowing you to identify or predict issues. Effective database monitoring also gives you the opportunity to enhance or optimize your database, to augment overall performance.
How to monitor database activity in multiple DBMSs?
Monitor, aggregate, and correlate activity from multiple heterogeneous Database Management Systems (DBMSs). Tools can work with multiple DBMSs (e.g., Oracle Database, Microsoft SQL Server, and IBM DB2) and normalize transactions from different DBMSs, despite differences between SQL flavors.
Can a database monitor outbound network traffic?
Consumes minimal network bandwidth for monitoring incoming SQL statements to the gateway, plus some metadata such as response time or number of rows returned. Note: You can also monitor outbound network traffic via a separate interface, but that may create security issues if you trap sensitive data.
How much CPU is needed for database activity monitoring?
Every organization wants a database activity monitoring solution designed for minimal impact on their databases. With that in mind, we’ve developed a checklist that DBAs and other stakeholders can use when evaluating solutions. Consumes 1- 3 percent of CPU and disk resources, using an agent-only collection method.