mtail VS Grafana

You can do that with something like mtail. Basically write expressions that match your logs and produce metrics.

mtail is a standard tool for this.

I use goflow2 to do something like this. I don't specifically use syslog itself for this, but mtail to generate the metrics.

I can recommend mtail. Here is a good example nginx script.

If not, https://github.com/google/mtail might be a good option.

Count the lines with mtail. You can regexp match the values out into labels.

If you want to extract whitebox metrics from logs, maybe all you need is mtail.

You can use mtail (https://github.com/google/mtail) for this. You'll need to figure out how to plug it into your setup, but mtail will do the metrics from logs thing.

Convert your logs to metrics with mtail.

For nginx, you'll need to setup a log parser like mtail because it doesn't really have much for metrics to begin with.

Monitoring application logs is a crucial aspect of the software development and deployment lifecycle. In this post, we'll delve into the process of observing logs generated by Docker container applications operating within HashiCorp Nomad. With the aid of Grafana, Vector, and Loki, we'll explore effective strategies for log analysis and visualization, enhancing visibility and troubleshooting capabilities within your Nomad environment.

To help us visualize these scenarios, we'll build a Grafana Dashboard so we can follow along.

Visualization and Analysis: Choose a tool with intuitive and customizable dashboards, charts, and visualizations. A question to ask is, "Are the visualization features of this tool user-friendly and adaptable to our team's specific needs?" Tools like Grafana and Kibana provide powerful visualization capabilities.

Prometheus: Open-source monitoring system. Often used together with Grafana.

Grafana

Yes I'm aware that Grafana is open source but the method I used to find the API endpoints is far quicker than digging through hundreds of files in a codebase I'm not familiar with.

So, you will add one last container to allow us to visualize this data: Grafana, an open-source analytics and visualization platform that allows us to see traces and metrics simply. You can set Grafana to read data from both Tempo and Prometheus by setting them as datastores with the following grafana.datasource.yaml config file:

In example above, we use 2 additional parameters: code (HTTP response code) and page (page identifier), which provide detailed statistics. For example, you can build such graphs in Grafana:

Robin switched to the Grafana dashboard tab, and sure enough, the 5xx volume on web service was rising. It had not hit the critical alert thresholds yet, but customers had already started noticing.