waifupaste.moe VS Grafana

I've got a slew of different computers doing different things. All of them are networked together via Tailscale.

Ubuntu 22.04 Server for the host, everything else runs in LXC containers. This is all setup on ZFS.

- https://znc.in/ IRC bouncer

- https://caddyserver.com/ Caddy Webserver for a few personal websites

- https://github.com/AndroidKitKat/waifupaste.moe/ My personal pastebin

- https://transmissionbt.com/ Torrent client that I actually use for Linux ISOs. Primarily seed different versions of Ubuntu and the latest Arch. I am looking to seed other, lesser-seeded distros, too.

- It also runs Samba

A second, dedicated computer also running Ubuntu Server 22.04. It only runs https://pleroma.social for me and a few of my friends.

A third computer, this time an M1 Mac Mini that is my Plex box. It's running the latest version of macOS Ventura and runs all the *arrs and qBittorrent. It also runs Plex itself, because it's one of the only computers that I found that was low power enough but still supported hardware transcoding in Plex. I've been meaning to find a replacement for it running Linux + an AMD GPU (I have an rx470 sitting around somewhere), but no real good deals have turned up.

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.