Note: it should not be too hard to create your own exporter – which can be done in your favourite programming language. It requires the Oracle Database Client library to be installed for the operating system you are on. I suppose there are other Prometheus exporters for Oracle as well – for example. You can run this exporter in its own Docker Container and also as a standalone operating system process you do need the Go runtime for this. The configuration file – see – is used to specify which instances to publish metrics for and which specific metrics to publish. This particular example is a go application that is installed on some server from where it can connect to the Oracle Database (RAC Cluster) you want to have metrics exposed for. There are various open source Prometheus Exporters for Oracle – for example. Prometheus does not come out of the box with an exporter for Oracle Database, nor does Oracle (Corporation) provide one. In order to monitor anything with Prometheus, you need an exporter – a process that exposes metrics for Prometheus to harvest. The next visual – showing an Oracle Database metrics exporter – is perhaps a good illustration of what I tried to explain: I tried to modify nf file but not getting succeed.Īlthough I am not an expert on Prometheus in combination with Oracle Database, I made an attempt to help. If you have any configuration code/steps for same, can you please share with me. I have to monitor that RAC database using Prometheus. But in my case is local physical server and Oracle RAC database install on it. Most of the GitHub code deploy on docker. I Googled but not find proper blog or doc for it. I need help on monitoring Oracle Database using Prometheus. Recently, I received an email with the following question: Prometheus harvests information from ‘exporters’ – processes that expose an HTTP endpoint where Prometheus can scrape metrics in a format that it understands. Prometheus is a very popular framework for gathering metrics from a plethora of runtime components, recording, analyzing, visualizing them and making them available for companion technologies such as Grafana.
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