shairport-sync VS Grafana

It's worth noting that shairport-sync exists. Perhaps it could be made easy by knitting some functions together?

You want SnapCast. You'd run snapserver on your Linux box and snapclient on your Pi's. Snapserver has support for Airplay (via shairport-sync) and Spotify (via librespot). I recommend using MPD for your music library, as I don't think PlexAmp can output audio in a way that's useful for snapserver.

I use shairport-sync for airplay (https://github.com/mikebrady/shairport-sync), complete instructions via: https://blog.adena.dev/blog/apple-airplay-on-raspberry-pi-in-7-easy-steps

If you’re interested, you might be able to get Airplay 1 & 2 support by running shairport-sync on your pi.

The plan is to run shairport-sync on the Omega 2 and have audio output to a 2x50w class d amplifier board.

To replace it, I've purchased in-ceiling speakers and a Control 4 Amp (C4-16AMP3-B) which I can control via the network. I plan on using shareport-sync for AirPlay and librespot for spotify as the sources to play music. 90% of the use for my whole home audio is for music.

ShairPort-Sync allows my Mac to listen for a AirPlay with multiple instances available, each pointing to different settings as per this GitHub Issue, which would allow me in theory to run multiple AirPort plugs and output each to an Alexa. Rarely would I ever need to have them playing all at once, and at this point I don't really care about maintaining pure audio quality or latency. I just need to be able to get out of my office and move to the kitchen, then back to my office without needing to spend a ridiculous amount of time trying to move what I was listening to on my iPad into my Echo Show

The benefit of the Pi is the open source software, in particular I use https://github.com/mikebrady/shairport-sync in order to turn it into an AirPlay 2 receiver, which I can stream to using my phone or laptop. It's my main way of sending audio to my hifi setup.

The only option I know of would be to use multiple raspberry pi’s running Shairport-Sync. I’ve been using the airplay 2 version for about a year and it works great. You might be able to build a server and run multiple instances of shairport with multiple audio cards. https://github.com/mikebrady/shairport-sync

So, after looking around, I realised that just like the Nest Hub 2nd gen, the Nest Audio also has a (sort of) exposed debug USB port. And these devices are (originally) running Linux. Since the Nest Hub 2nd gen has been jailbroken, I'm hoping that I can do the same on the Nest Audio, with a singular purpose: to inject a ShairPlay service, which would run parallel to the Chromecast services, which would allow me to use them as native AirPlay2 speakers.

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.