windows_exporter VS Grafana

if you want to monitor your windows machine you can install a windows exporter from here. After installing you can start the service to start the windows exporter

The windows_exporter iis module has a number of app pool metrics.

Check out the windows_exporter. It uses native OS calls instead of WMI where it can to reduce overhead.

Would this do what you're asking for? https://github.com/prometheus-community/windows_exporter

Windows-exporter => InfluxDB => Grafana which displays on a 10” tablet in the lounge. I know what the normal CPU, RAM, Disk write number should be so it’s easy to see everything is good at a glance. Grafana dashboard.

Try the windows exporter. It uses native calls for a lot of the common data gathering. Much more efficient than WMI.

Try windows_exporter with process-collector whitelist https://github.com/prometheus-community/windows_exporter/blob/master/docs/collector.process.md

I deployed Prometheus Windows Exporter on AKS (Kubernetes v. 1.24.6) using the following instructions: https://github.com/prometheus-community/windows_exporter/blob/master/kubernetes/kubernetes.md

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.