checkmk VS Grafana

CheckMK - GitHub

CheckMK https://checkmk.com. You can spin this up in a docker container

I use CheckMK to do all of this and more, except nutanix. But checkmk also can Monitor nutanix via the "Nutanix Prism" special agent Integration

BI machine and NVR report to CheckMK Raw host so it's easy to see historic stats.

I’m using https://checkmk.com/ to monitor stuff and it seems to work great. Lots of built in features and functions and if they don’t have what you need you can also create custom scripts to check and report on anything you can dream up. Runs great in docker (I’m using portainer but will run fine in plain old docker).

Have a look at CheckMK open source version is really good, you can spin it up in a docker container and is relatively easy to get some initial monitors going. As to whether it's worthwhile, I guess it depends how much you want to know how you servers are doing and when something goes wrong.

Checkmk

checkmk: https://checkmk.com/

Checkmk I have use the "raw" (free) version and we now use the enterprise version. Both are very capable.

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.