Root cause of 502/503/decode errors clustered at 19:20 BST 2026-04-26: immich-server hit its 3500Mi memory limit during a face-detection burst and was OOMKilled (Exit Code 137). VPA upperBound is 3050Mi but real-world bursts crossed it; with the single pod running both API and microservices workers, the OOM took the API down for ~30s of restart, surfacing as PlatformException image decode + 502 on uploads + 503 on ActivityService to the iOS app. Bump immich-server requests=limits to 4096Mi (per CLAUDE.md "upperBound x 1.3 for volatile workloads" rule, with headroom over the OOM mark). Quota math: 9680Mi used - 2000Mi old req + 4096Mi new req = 11776Mi, fits the tier-2-gpu 12Gi cap. Switch both immich-server and immich-machine-learning to Recreate strategy: the namespace tier-2-gpu quota is too tight for RollingUpdate to keep an old + new pod up during apply (transient 13776Mi > 12Gi cap, see "ResourceQuota blocks rolling updates" in CLAUDE.md). With single replicas and Recreate, future memory tweaks no longer require manual scale-to-0 dance. Verified: new pod has limits.memory=4Gi, quota usage stable at 11776Mi/12Gi, immich API serving normally. Note: a pending node_selector drift on immich-machine-learning (gpu=true -> nvidia.com/gpu.present=true) also reconciled in this apply; the canonical NVIDIA operator label already on the GPU node, no scheduling impact. |
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|---|---|---|
| .beads | ||
| .claude | ||
| .git-crypt | ||
| .github | ||
| .planning | ||
| .woodpecker | ||
| ci | ||
| cli | ||
| diagram | ||
| docs | ||
| modules | ||
| playbooks | ||
| scripts | ||
| secrets | ||
| stacks | ||
| state/stacks | ||
| .gitattributes | ||
| .gitignore | ||
| .sops.yaml | ||
| AGENTS.md | ||
| config.tfvars | ||
| CONTRIBUTING.md | ||
| LICENSE.txt | ||
| MEMORY.md | ||
| README.md | ||
| terragrunt.hcl | ||
| tiers.tf | ||
This repo contains my infra-as-code sources.
My infrastructure is built using Terraform, Kubernetes and CI/CD is done using Woodpecker CI.
Read more by visiting my website: https://viktorbarzin.me
Documentation
Full architecture documentation is available in docs/ — covering networking, storage, security, monitoring, secrets, CI/CD, databases, and more.
Adding a New User (Admin)
Adding a new namespace-owner to the cluster requires three steps — no code changes needed.
1. Authentik Group Assignment
In the Authentik admin UI, add the user to:
kubernetes-namespace-ownersgroup (grants OIDC group claim for K8s RBAC)Headscale Usersgroup (if they need VPN access)
2. Vault KV Entry
Add a JSON entry to secret/platform → k8s_users key in Vault:
"username": {
"role": "namespace-owner",
"email": "user@example.com",
"namespaces": ["username"],
"domains": ["myapp"],
"quota": {
"cpu_requests": "2",
"memory_requests": "4Gi",
"memory_limits": "8Gi",
"pods": "20"
}
}
usernamekey must match the user's Forgejo username (for Woodpecker admin access)namespaces— K8s namespaces to create and grant admin access todomains— subdomains underviktorbarzin.mefor Cloudflare DNS recordsquota— resource limits per namespace (defaults shown above)
3. Apply Stacks
vault login -method=oidc
cd stacks/vault && terragrunt apply --non-interactive
# Creates: namespace, Vault policy, identity entity, K8s deployer role
cd ../platform && terragrunt apply --non-interactive
# Creates: RBAC bindings, ResourceQuota, TLS secret, DNS records
cd ../woodpecker && terragrunt apply --non-interactive
# Adds user to Woodpecker admin list
What Gets Auto-Generated
| Resource | Stack |
|---|---|
| Kubernetes namespace | vault |
Vault policy (namespace-owner-{user}) |
vault |
| Vault identity entity + OIDC alias | vault |
| K8s deployer Role + Vault K8s role | vault |
| RBAC RoleBinding (namespace admin) | platform |
| RBAC ClusterRoleBinding (cluster read-only) | platform |
| ResourceQuota | platform |
| TLS secret in namespace | platform |
| Cloudflare DNS records | platform |
| Woodpecker admin access | woodpecker |
New User Onboarding
If you've been added as a namespace-owner, follow these steps to get started.
1. Join the VPN
# Install Tailscale: https://tailscale.com/download
tailscale login --login-server https://headscale.viktorbarzin.me
# Send the registration URL to Viktor, wait for approval
ping 10.0.20.100 # verify connectivity
2. Install Tools
Run the setup script to install kubectl, kubelogin, Vault CLI, Terraform, and Terragrunt:
# macOS
bash <(curl -fsSL https://k8s-portal.viktorbarzin.me/setup/script?os=mac)
# Linux
bash <(curl -fsSL https://k8s-portal.viktorbarzin.me/setup/script?os=linux)
3. Authenticate
# Log into Vault (opens browser for SSO)
vault login -method=oidc
# Test kubectl (opens browser for OIDC login)
kubectl get pods -n YOUR_NAMESPACE
4. Deploy Your First App
# Clone the infra repo
git clone https://github.com/ViktorBarzin/infra.git && cd infra
# Copy the stack template
cp -r stacks/_template stacks/myapp
mv stacks/myapp/main.tf.example stacks/myapp/main.tf
# Edit main.tf — replace all <placeholders>
# Store secrets in Vault
vault kv put secret/YOUR_USERNAME/myapp DB_PASSWORD=secret123
# Submit a PR
git checkout -b feat/myapp
git add stacks/myapp/
git commit -m "add myapp stack"
git push -u origin feat/myapp
After review and merge, an admin runs cd stacks/myapp && terragrunt apply.
5. Set Up CI/CD (Optional)
Create .woodpecker.yml in your app's Forgejo repo:
steps:
- name: build
image: woodpeckerci/plugin-docker-buildx
settings:
repo: YOUR_DOCKERHUB_USER/myapp
tag: ["${CI_PIPELINE_NUMBER}", "latest"]
username:
from_secret: dockerhub-username
password:
from_secret: dockerhub-token
platforms: linux/amd64
- name: deploy
image: hashicorp/vault:1.18.1
commands:
- export VAULT_ADDR=http://vault-active.vault.svc.cluster.local:8200
- export VAULT_TOKEN=$(vault write -field=token auth/kubernetes/login
role=ci jwt=$(cat /var/run/secrets/kubernetes.io/serviceaccount/token))
- KUBE_TOKEN=$(vault write -field=service_account_token
kubernetes/creds/YOUR_NAMESPACE-deployer
kubernetes_namespace=YOUR_NAMESPACE)
- kubectl --server=https://kubernetes.default.svc
--token=$KUBE_TOKEN
--certificate-authority=/var/run/secrets/kubernetes.io/serviceaccount/ca.crt
-n YOUR_NAMESPACE set image deployment/myapp
myapp=YOUR_DOCKERHUB_USER/myapp:${CI_PIPELINE_NUMBER}
Useful Commands
# Check your pods
kubectl get pods -n YOUR_NAMESPACE
# View quota usage
kubectl describe resourcequota -n YOUR_NAMESPACE
# Store/read secrets
vault kv put secret/YOUR_USERNAME/myapp KEY=value
vault kv get secret/YOUR_USERNAME/myapp
# Get a short-lived K8s deploy token
vault write kubernetes/creds/YOUR_NAMESPACE-deployer \
kubernetes_namespace=YOUR_NAMESPACE
Important Rules
- All changes go through Terraform — never
kubectl apply/edit/patchdirectly - Never put secrets in code — use Vault:
vault kv put secret/YOUR_USERNAME/... - Always use a PR — never push directly to master
- Docker images: build for
linux/amd64, use versioned tags (not:latest)
git-crypt setup
To decrypt the secrets, you need to setup git-crypt.
- Install git-crypt.
- Setup gpg keys on the machine
git-crypt unlock
This will unlock the secrets and will lock them on commit