Helm Dashboard is an open-source project by Komodor that offers a visual and user-friendly way to manage and visualize all the Helm charts installed in your clusters. Instead of using the terminal, you can leverage the Helm Dashboard's intuitive UI to perform a variety of tasks that make working with Helm a breeze. Here are some of its key features:. - Source: dev.to / 8 months ago

Speaking of tools that I think I could talk an employer into buying, how about something to help with troubleshooting Kubernetes? Komodor is an observability tool that gives you insight into what’s happening with your clusters and workloads. As distributed applications have become more complex, they’ve become more difficult to troubleshoot, and Komodor gives you an integrated view of your Kubernetes resources. Not... - Source: dev.to / almost 2 years ago

Monitoring changes in the entire Kubernetes stack requires specialized skills particularly in the effective analysis of ripple effects and context-based approach in troubleshooting problems. A K8s-native troubleshooting solution like Komodor ensures that the troubleshooting process is undertaken in an independent and efficient manner. It institutes systematization to address the chaos that is usually present when... - Source: dev.to / over 2 years ago

You can find more info on https://komodor.com or DM me (full disclosure: I work for Komodor at the moment). Source: almost 3 years ago

For Troubleshooting: Komodor Komodor is a troubleshooting tool that has been gaining popularity in the Kubernetes dev community. What Komodor offers is the ability to gain a full view of all changes across the entire k8s stack - and their ripple effects - to streamline the usually laborious task of understanding what went wrong, when something goes wrong. - Source: dev.to / almost 3 years ago

No need to use the server, Navidrome allows any client to connect remotely (WAN included) and play music that is hosted on the server. It also can be set up to transcode on the fly uncompressed music when it is accessed from a metered connection to minimize bandwidth usage. I barely scratched its surface, but it looks promising. The only requirement is that it needs the correct metadata to identify songs and... - Source: Hacker News / 5 days ago

I highly recommend Musicbrainz Picard: https://picard.musicbrainz.org/ It will match against the Musicbrainz database and will acoustically ID your files, so the tags can be completely wrong. Just dump folders of albums into the client, it will group and sort things and ID them. It works great. - Source: Hacker News / 4 days ago

Have you tried https://www.funkwhale.audio/? It can be used effectively as a "private spotify". Labeling is a solved problem thanks to https://picard.musicbrainz.org/, and the fact that a lot of the music you buy these days comes pre-labeled already. You then have a web-app (and/or a mobile app, if that's your thing) where you can stream music as you would with Spotify. You can even build yourself a little... - Source: Hacker News / 2 months ago

I use picard for my collection. My work flow is Picard > Lyrics Finder > Foobar for BPM, RealGain and DR > Custom python script to pull genre and mood from Last.FM and spotify> then Advanced Renamer to perform naming clean up of folder names. I lowercase and underscore spaces. Also does files if I happen to need Mp3Tag when Picard doesn't find anything. Once this is done I move files on to may NAS. Source: 6 months ago

Musicbrainz Picard - A great application that I've used in the past to identify and organize my saved music collection. It's not focused on adding semantic tags though: it's used for adding metadata to .mp3 files. Source: 7 months ago