Gluttony-Cluster/README.md

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# Gluttony-Cluster
[![Build Status](https://drone.clortox.com/api/badges/Infrastructure/Gluttony-Cluster/status.svg)](https://drone.clortox.com/Infrastructure/Gluttony-Cluster)
A [ArgoCD](https://argo-cd.readthedocs.io/en/stable/) repo describing my current at home kubernetes cluster.
## Hardware
- Nodes
- 3 x86_64
- 2 ARM nodes
- 1 Dedicated reverse proxy
- Storage
- 64TB ZFS pool (Media)
- 6TB of replicated storage (Configuration)
- 2TB of NVME ZFS Cache
- Compute
- Ryzen 5 5500
- i7-13700K
- Core 2 Duo
- Memory
- 136 GB of DDR5 across 3 nodes
- GPU
- RTX 3090 (Machine Learning)
- RTX 3080 (Machine Learning)
- RTX 2060 (Machine Learning)
- GTX 1060 (Stream Transcoding)
- Networking
- 1Gbps Inter-node Networking
- TL-SG3428 Switch
- R7000 Nighthawk running DDWRT
- Power
- Dedicated 1500W ciruit breaker
- 1100VA UPS
![server rack](./img/rack.jpg)
![network switch](./img/switch.jpg)
![zfs pool](./img/drives.jpg)
## Software
### Tier 0
_Software that aids the cluster run_
| Name | Use |
| ---- | --- |
| [Flux](fluxcd.io) | Deployments |
| [Sealed Secrets](https://github.com/bitnami-labs/sealed-secrets) | Secret management via git |
| [MetalLB](https://metallb.universe.tf) | Load Balancer |
| [Nvidia Operator](https://docs.nvidia.com/datacenter/cloud-native/gpu-operator/latest/index.html) | Nvidia Container Runtime Operator |
## Hosted Version
Find the actual, in production version of this repo on my [Gitea Repository](https://git.clortox.com/Infrastructure/Gluttony-Cluster). Here you will also find in use issues denoting things I plan to add to this repository.
Find the mirror of this repository on [Github](https://github.com/Clortox/Gluttony-Cluster).