openvslam VS Grafana

This might be the case. However there is an additional risk and process component:

- you might not want to risk because you don't have lawyers etc in your company.

- even if you have lawyers etc in your company, if there are 2 alternatives one which is just an MIT license, you'll probably go for that one because you don't want to have a 1.5 month review of the use of this AGPL licensed alternative.

In general things like this https://github.com/xdspacelab/openvslam/wiki/Termination-of-... (repo with 3k stars), an effort terminated because of some traces of GPL code MIGHT be somewhere in there comes to light. Even though Grafana etc are mostly tools, for my startup I would probably not risk any of this (for my own sake and also for any kind of due diligence in case it ever gets acquired)

OpenVSLAM

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.