As ancient as it might sound, IBM DB2 is a widely used database engine, that's currently ranked 6 in the DB engines ranking. Today DB2 represents a family of data management products with a focus on AI powered features.
Recently IBM introduced a free version of the database to boost developer engagement. (Download options can be found here).
Today Metricbeat already provides integrations with many database engines, however IBM DB2 is not yet supported. There is a workaround that suggests our users to use the JDBC input with Logstash and collect DB2 metrics. This workaround is not straightforward and requires prior knowledge of configuring JDBS inputs on the user side. Having a Metricbeat module for IBM DB2 would remove this complexity and significantly increase user experience.
User Story:
As a user I want to use Metricbeat for monitoring my DB2 instances so that I could easily observe the state and performance of the DB2 databases.
Suggested targets:
- Tablespaces.
- I/O and storage (BUFFERPOOL).
- Concurrency and locks.
- SQL performance.
As ancient as it might sound, IBM DB2 is a widely used database engine, that's currently ranked 6 in the DB engines ranking. Today DB2 represents a family of data management products with a focus on AI powered features.
Recently IBM introduced a free version of the database to boost developer engagement. (Download options can be found here).
Today Metricbeat already provides integrations with many database engines, however IBM DB2 is not yet supported. There is a workaround that suggests our users to use the JDBC input with Logstash and collect DB2 metrics. This workaround is not straightforward and requires prior knowledge of configuring JDBS inputs on the user side. Having a Metricbeat module for IBM DB2 would remove this complexity and significantly increase user experience.
User Story:
As a user I want to use Metricbeat for monitoring my DB2 instances so that I could easily observe the state and performance of the DB2 databases.
Suggested targets: