cluster-monitoring VS Grafana

I've grabbed the Prometheus stack from carlosedp/clustermonitoring and was able to get that deployed into my cluster. That stack is fairly dated and is pulling some pretty old versions of some of the containers. I decided to see if I could get the stack upgraded to the latest version of the containers as a learning exercise, but I'm running into an issue upgrading kube-prometheus to release-0.10.

If you are running on arm this is a nice project to try. https://github.com/carlosedp/cluster-monitoring

Prometheus stack via Carlos Eduardo's phenomenal clustermonitoring repo, modified to account for some differences in my setup (NFS-based PVs, MetalLB already set up, ingress annotations)

The main thing that jumped out to me was this hard coded IP: https://github.com/carlosedp/cluster-monitoring/blob/a136833aaf364a8e76809a9dca789bb59e070677/manifests/ingress-grafana.yaml#L8

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.