Important update to #Nextcloud #Helmfile. It now contains a #Collabora instance, so you can edit Nextcloud documents from Browser. Tested on K3S so far. Would be great if someone could test this on K8S with Nginx.

https://codeberg.org/ztarbug/nextcloud-deployment

#FOSS rulez!

nextcloud-deployment

A collection of Helm/Helmfile scripts, to deploy Nextcloud.

Codeberg.org

For anyone running web applications in need of #Keycloak as #IdP here is a #Helmfile showing how to run a simple setup. It is supposed to stay #FOSS forever (unlike #Bitnami). Comments, bug reports and PRs are very much appreciated.

https://github.com/starwit/keycloak-helmfile-template

Streamlining your Kubernetes adoption with Helmfile / ArgoCD and GitOps

In a previous article titled Stop being selfish ! — Open up Terraform to your team with Atlantis we showcased how powerful and convenient…

Medium
Kubernetes and Nix Cluster | Neil Grogan

It still blows my mind that it is normal nowadays to require a 226MB executable to template some YAML. #helmfile
GitHub - jpetazzo/beyond-load-balancers

Contribute to jpetazzo/beyond-load-balancers development by creating an account on GitHub.

GitHub

> On-demand Webinar: Beyond Load Balancers: Scaling Out GenAI with Message Queues on Kubernetes

:star-struck: @jpetazzo est brillant as usual.

(genAI et ollama est un prétexte de demo pour cocher la case de la hype selon moi)

https://www.perfectscale.io/blog/scaling-out-genai-with-message-queues-on-kubernetes-2

#kubernetes #cloudnativePG #rabbitmq #autoscaling #HPA #keda, #loadbalancers #grafana, #kubectl #bento #helm #helmfile

Scaling Out GenAI with Message Queues on Kubernetes | PerfectScale

Join Jerome Petazzoni as he discusses how to leverage event-driven autoscaling combined with asynchronous architectures and message queues to maintain scalable, highly performant environments.

We'll see how to run popular #LLM on Kubernetes, and how to leverage #Bento, #RabbitMQ, and #PostgreSQL to run requests asynchronously; then we'll use #Prometheus and #Grafana for observability, sprinkle #KEDA for ausoscaling, and some #Helmfile to manage the deployment of all these components.

Interested? Register here:

https://info.perfectscale.io/beyond-load-balancers

[LIVE WEBINAR] Beyond load balancers: scaling out genAI

Join Jerome Petazzoni as he discusses how to leverage event-driven autoscaling combined with asynchronous architectures and message queues to maintain scalable, highly performant environments.

@fsniper @miry I've been using a lot #kustomize, #helm, #helmfile. I've always preferred kustomize over helm. But if I had to package my application, I would go for helm, since that's the simplest from the average users' perspective.
Text templating of helm is terrible. Being implicit instead of explicit is a bad decision from maintenance perspective. But `helm install` is too easy for most people...
@mhalligan I've been using all the above since the last few years plus #Ansible, but I prefer to avoid this last one.
Add #helm + #helmfile to the mix and manage sensitive values with #Gitlab variables and #Sops