lidarr-on-steroids VS Grafana

does anyone still use this deemix/lidarr integration? https://github.com/youegraillot/lidarr-on-steroids

lidarr-on-steroids is also has a solid integration with deemix but if you have a large library it is VERY slow with importing!

Or you can use this custom image of Lidarr that is integrated with Deemix.

I'm using lidarr-on-steroids to bundle Lidarr + Deemix together and frankly, I have no idea!

I'm using lidarr-on-steroids, however the "type" of lidarr shouldn't matter as it's just hitting the API endpoint. I wonder if Lidarr changed something about their API as lidarr-on-steroids is a couple of versions behind.

Oops, I forgot to link the repo : https://github.com/youegraillot/lidarr-on-steroids

This guy has been working on using Deemix as indexer/downloader for Lidarr. Instead of (or besides) searching on usenet/torrent(only), it searches Deezer through Deemix and uses Deemix itself to download from Deezer. Still a work in progress though https://github.com/youegraillot/lidarr-on-steroids

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: