argocd-image-updater VS Grafana

Use the ArgoCD image updater

We already have software agents in GitOps ecosystem that modify the state in git. Ie, the image updater in ArgoCD. It watches the docker registry. When it sees a new image, it updates git on a user's behalf.

If you are using ArgoCD you might be able to use this: https://argocd-image-updater.readthedocs.io/en/stable/

I just found this in my travels, I have only gone so far as reading the introduction but seems to be a fit? https://github.com/argoproj-labs/argocd-image-updater

I've used Keel and more recently ArgoCD Image Updater (Using ArgoCD to manage deployments).

https://argocd-image-updater.readthedocs.io/en/stable/ maybe?

Use the image updater

To answer your question you should promote docker images between environments. There are many ways to do this. Check https://argocd-image-updater.readthedocs.io/en/stable/ if you haven't seen it already.

For ArgoCD there’s argocd-image-updated, https://argocd-image-updater.readthedocs.io/en/stable/

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.