kubebuilder VS PhotoPrism

The Spin operator uses the Kubebuilder framework and contains a Spin App Custom Resource Definition (CRD) and controller. It watches Spin App Custom Resources and realizes the desired state in the K8s cluster. Aside from the immediate benefits gained by running Wasm workloads in k8s, additional optimizations such as Horizontal Pod Scaling (HPA) and k8s Event-driven Autoscaling (KEDA) can be achieved in a pinch.

kubebuilder: brew install kubebuilder

The operator that I've been working on is designed to manage the full lifecycle of a QuestDB database instance, including version and hardware upgrades, config changes, backups, and (eventually) recovery from node failure. I used the Operator SDK and kubebuilder frameworks to provide scaffolding and API support.

Recently, I've been spending a lot of time writing a Kubernetes operator using the go operator-sdk, which is built on top of the Kubebuilder framework. This is a list of a few tips and tricks that I've compiled over the past few months working with these frameworks.

Since we built our operator using the Kubebuilder framework, most standard monitoring tasks were handled for us out-of-the-box. Our operator automatically exposes a rich set of Prometheus metrics that measure reconciliation performance, the number of k8s API calls, workqueue statistics, and memory-related metrics. We we were able to ingest these metrics into pre-built dashboards by leveraging the grafana/v1-alpha plugin, which scaffolds two Grafana dashboards to monitor Operator resource usage and performance. All we had to do was add these to our existing Grafana manifests and we were good to go!

I wrote a CSI driver and some operators. I admire K8s, because you can find solution to almost any problem in the source code - API versioning, load balancing, request throttling, optimistic concurrency, security, and much much more. I recommend https://book.kubebuilder.io/ It is similar to Operator SDK, but without Openshift-specific stuff. It gradually introduces you to many k8s concepts, and follows design patterns that k8s uses internally.

Do you mean this: https://book.kubebuilder.io/ ?

https://book.kubebuilder.io/ all you need to know

A better way to write an operator these days is to use kubebuilder [1].

My complaint is that I have seen orgs write operators for random stuff, often reinventing the wheel. Lot of operators in orgs are result of resume driven development. Having said that it often comes handy for complex orchestration.

[1]https://github.com/kubernetes-sigs/kubebuilder

I have been using https://www.photoprism.app for a couple of years, and it works better than expected, with the latest updates it's actually quite fast and the face tagging works reasonably well.

For self-hosting, there's Photoprism[1] as well.

Ente's strength lies in end-to-end encryption[2] and its cloud[3] offering so you don't have to worry about reliability.

So if self-hosting is what you're after, Immich, Photoprism and Damselfly (TIL!) are perhaps better designed to serve your needs.

[1]: https://github.com/photoprism/photoprism

[2]: https://ente.io/architecture

[3]: https://ente.io/reliability

For quite a while I'm also in search for a solution which allows me to share galleries with my family, without having to ask them to jump through hoops in order to access them.

After some searching I'm now testing photoprism [1] which is a fantastic application, especially for self-hosting of photos. There's no mobile app for it (yet) and user-management is just starting to get implemented, but it shows alot of promise. Unfortunately not yet enough for putting it on the tablet of my granny but one can hope (and donate!)

Either way, I'm afraid that building a good mobile gallery app is an equally large task, after all the best solution would be to replace the users' native gallery-app with an equivalent that also supports custom Online-Galleries...

[1]: https://www.photoprism.app/

out of curiosity, why no sort-of-established pkg and internal dirs? What do you think of https://github.com/photoprism/photoprism structure?

Thank you!

Ente was first a piece of hardware, then a self-host-able project, but we had a hard time monetizing both, which lead to the E2EE pivot.

TIL about TagSpaces, thanks!

Our server can be open-sourced, but we're unsure of the value E2EE will provide, with services like Photoprism[1] and Immich[2] already doing a good job of serving customers who prefer to self host. In this context E2EE might become a constraint, rather than a feature.

[1]: https://github.com/photoprism/photoprism

[2]: https://github.com/immich-app/immich

Ive seen github issues like this one https://github.com/photoprism/photoprism/issues/907 in which it is implied that this is very very difficult.

Hi. I want to implement an image server similar to Photoprism using ImageAI to tag images based on objects and context. However I don't want to spend to much time working on the frontend, at first I were thinking about using Danbooru and use Flexbooru or the web interface on my phone. But it doesn't have any encryption or password protection (since the purpose of it is to be used as a public image board).

https://www.photoprism.app in Docker.

PhotoPrism[0] and some ugly plumbing[1] to semantically tag all images in the gallery.

0: https://github.com/photoprism/photoprism