The first column of the /tmp/hello-http.log file is the. The match property is used to match different data from each log file line and store them in their respective variables. The help property is a short description of what the metric does. The name of the metric will be hello_http_total. If you want to use a different Prometheus metric type, check the official documentation of grok_exporter. grok_exporter supports other Prometheus metric types as well. To extract data from the log file /tmp/hello-http.log, modify the metrics section of the config.yml file as follows: Readall should be false if you want to monitor only the newly added lines from the log file. Readall should be true if you want to monitor the entire log file and newly added lines from the log file. In this case, I want to monitor the log file /tmp/hello-http.log. In the input section, you specify the path of the log file that you want to monitor. The default configuration file should look as follows. $ sudo nano /opt /grok-exporter /config.yml In this section, I will show you how to download and install grok_exporter on your computer.įirst, navigate to the ~/Downloads directory as follows: Downloading and Installing grok_exporter: If you need any assistance on installing Prometheus on your computer, read the article How to Install Prometheus on Ubuntu 20.04 LTS. You must have Prometheus installed on your computer to be able to monitor log files with Prometheus. Scraping Metrics from grok_exporter with Prometheus.Generating a Dummy Log File with fakedata.Downloading and Installing grok_exporter.In this article, I will show you how to install grok_exporter on Linux (Ubuntu 20.04 LTS in my case), generate dummy log files, configure grok_exporter to monitor the dummy log file, and monitor the dummy log file using Prometheus. Once you add the grok_exporter server to Prometheus as a target, Prometheus can monitor the desired log files via grok_exporter. Then, the data of these variables are exported via grok_exporter. The log files are matches line by line using a regular expression, and the matched data is stored in different variables. Grok_exporter uses regular expressions for parsing different data from log files. You can use the Prometheus third-party exporter grok_exporter to parse log files and export metrics to Prometheus.
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