seamark.dev's /install and /settings/devices told users to pipe
seamark.dev/static/install.sh into bash. That file was the unmodified ATCR
script: it announced itself as the "ATCR Credential Helper Installer",
installed docker-credential-atcr, and finished by telling the user to configure
credHelpers for atcr.io, the wrong registry for that deployment. Anyone
following the documented setup ended up pointed at another service. The
templates hardcoded docker-credential-atcr, "atcr" and ~/.atcr/device.json
alongside a correctly themed {{ .RegistryURL }}.
The scripts are now rendered from config by a handler, rather than forked per
brand. A theme overlay was the alternative and was worse: it needed a full copy
of both install.sh and install.ps1 per brand, four scripts to keep in sync, and
the operator asked for these values to come from config.
credential_helper.name is the single knob. Docker resolves a credHelpers value
x by exec'ing docker-credential-x, so the credHelpers value, the binary suffix
and the config directory are genuinely one word, not three that can drift. It
is validated against a strict pattern because it is interpolated into a shell
script.
install.sh renders byte-identical to the deleted static file under the atcr
default, so existing installs are unaffected. install.ps1 differs by one line,
where a stale usage comment named a path the script is not served at.
Two behaviour changes worth noting: these two URLs drop from a one-year
Cache-Control to five minutes, since the body now depends on deployment config;
and credential_helper.tangled_repo becomes a real overridable default. It was
previously assigned over unconditionally and read by nothing, while the shipped
script used a different URL form.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01PDqoCE1j3njokkZ9b1C5n9
ATCR UpCloud Deployment Guide
This guide walks you through deploying ATCR on UpCloud with Rocky Linux.
Architecture
- AppView (atcr.io) - OCI registry API + web UI
- Hold Service (hold01.atcr.io) - Presigned URL generator for blob storage
- Caddy - Reverse proxy with automatic HTTPS
- UpCloud Object Storage (blobs.atcr.io) - S3-compatible blob storage
Prerequisites
1. UpCloud Account
- Active UpCloud account
- Object Storage enabled
- Billing configured
2. Domain Names
You need three DNS records:
atcr.io(or your domain) - AppViewhold01.atcr.io- Hold serviceblobs.atcr.io- S3 storage (CNAME)
3. ATProto Account
- Bluesky/ATProto account
- Your DID (get from:
https://bsky.social/xrpc/com.atproto.identity.resolveHandle?handle=yourhandle.bsky.social)
4. UpCloud Object Storage Bucket
Create an S3 bucket in UpCloud Object Storage:
- Go to UpCloud Console → Storage → Object Storage
- Create new bucket (e.g.,
atcr-blobs) - Note the region (e.g.,
us-chi1) - Generate access credentials (Access Key ID + Secret)
- Note the endpoint (e.g.,
s3.us-chi1.upcloudobjects.com)
Deployment Steps
Step 1: Configure DNS
Set up DNS records (using Cloudflare or your DNS provider):
Type Name Value Proxy
────────────────────────────────────────────────────────────────────────────
A atcr.io [your-upcloud-ip] ☁️ DISABLED
A hold01.atcr.io [your-upcloud-ip] ☁️ DISABLED
CNAME blobs.atcr.io atcr-blobs.us-chi1.upcloudobjects.com ☁️ DISABLED
IMPORTANT:
- DISABLE Cloudflare proxy (gray cloud, not orange) for all three domains
- Proxied connections break Docker registry protocol and presigned URLs
- You'll still get HTTPS via Caddy's Let's Encrypt integration
Wait for DNS propagation (5-30 minutes). Verify with:
dig atcr.io
dig hold01.atcr.io
dig blobs.atcr.io
Step 2: Create UpCloud Server
- Go to UpCloud Console → Servers → Deploy a new server
- Select location (match your S3 region if possible)
- Select Rocky Linux 9 operating system
- Choose plan (minimum: 2 GB RAM, 1 CPU)
- Configure hostname:
atcr - Enable IPv4 public networking
- Optional: Enable IPv6
- User data: Paste contents of
deploy/init-upcloud.sh- Update
ATCR_REPOvariable with your git repository URL - Or leave empty and manually copy files later
- Update
- Create SSH key or use password authentication
- Click Deploy
Step 3: Wait for Initialization
The init script will:
- Update system packages (~2-5 minutes)
- Install Docker and Docker Compose
- Configure firewall
- Clone repository (if ATCR_REPO configured)
- Create systemd service
- Create helper scripts
Monitor progress:
# SSH into server
ssh root@[your-upcloud-ip]
# Check cloud-init logs
tail -f /var/log/cloud-init-output.log
Wait for the completion message in the logs.
Step 4: Configure Environment
Edit the environment configuration:
# SSH into server
ssh root@[your-upcloud-ip]
# Edit environment file
cd /opt/atcr
nano .env
Required configuration:
# Domains
APPVIEW_DOMAIN=atcr.io
HOLD_DOMAIN=hold01.atcr.io
# Your ATProto DID
HOLD_OWNER=did:plc:your-did-here
# UpCloud S3 credentials
AWS_ACCESS_KEY_ID=your-access-key-id
AWS_SECRET_ACCESS_KEY=your-secret-access-key
AWS_REGION=us-chi1
S3_BUCKET=atcr-blobs
# S3 endpoint (choose one):
# Option 1: Custom domain (recommended)
S3_ENDPOINT=https://blobs.atcr.io
# Option 2: Direct UpCloud endpoint
# S3_ENDPOINT=https://s3.us-chi1.upcloudobjects.com
# Public access (optional)
HOLD_PUBLIC=false # Set to true to allow anonymous pulls
Save and exit (Ctrl+X, Y, Enter).
Step 5: Start ATCR
# Start services
systemctl start atcr
# Check status
systemctl status atcr
# Verify containers are running
docker ps
You should see three containers:
atcr-caddyatcr-appviewatcr-hold
Step 6: Complete Hold OAuth Registration
The hold service needs to register itself with your PDS:
# Get OAuth URL from logs
/opt/atcr/get-hold-oauth.sh
Look for output like:
Visit this URL to authorize: https://bsky.social/oauth/authorize?...
- Copy the URL and open in your browser
- Log in with your ATProto account
- Authorize the hold service
- Return to terminal
The hold service will create records in your PDS:
io.atcr.hold- Hold definitionio.atcr.hold.crew- Your membership as captain
Verify registration:
docker logs atcr-hold | grep -i "success\|registered\|created"
Step 7: Test the Registry
Test 1: Check endpoints
# AppView (should return {})
curl https://atcr.io/v2/
# Hold service (should return {"status":"ok"})
curl https://hold01.atcr.io/health
Test 2: Configure Docker client
On your local machine:
# Install credential helper
# (Build from source or download release)
go install atcr.io/cmd/docker-credential-atcr@latest
# Configure Docker to use the credential helper
# Add to ~/.docker/config.json:
{
"credHelpers": {
"atcr.io": "atcr"
}
}
Test 3: Push a test image
# Tag an image
docker tag alpine:latest atcr.io/yourhandle/test:latest
# Push to ATCR
docker push atcr.io/yourhandle/test:latest
# Pull from ATCR
docker pull atcr.io/yourhandle/test:latest
Step 8: Monitor and Maintain
View logs
# All services
/opt/atcr/logs.sh
# Specific service
/opt/atcr/logs.sh atcr-appview
/opt/atcr/logs.sh atcr-hold
/opt/atcr/logs.sh atcr-caddy
# Or use docker directly
docker logs -f atcr-appview
Enable debug logging
Toggle debug logging at runtime without restarting the container:
# Enable debug logging (auto-reverts after 30 minutes)
docker kill -s SIGUSR1 atcr-appview
docker kill -s SIGUSR1 atcr-hold
# Manually disable before timeout
docker kill -s SIGUSR1 atcr-appview
When toggled, you'll see:
level=INFO msg="Log level changed" from=INFO to=DEBUG trigger=SIGUSR1 auto_revert_in=30m0s
Note: Despite the command name, docker kill -s SIGUSR1 does NOT stop the container. It sends a user-defined signal that the application handles to toggle debug mode.
Restart services
# Restart all
systemctl restart atcr
# Or use docker-compose
cd /opt/atcr
docker compose -f deploy/docker-compose.prod.yml restart
Rebuild after code changes
/opt/atcr/rebuild.sh
Update configuration
# Edit environment
nano /opt/atcr/.env
# Restart services
systemctl restart atcr
Architecture Details
Service Communication
Internet
↓
Caddy (443) ───────────┐
├─→ atcr-appview:5000 (Registry API + Web UI)
└─→ atcr-hold:8080 (Presigned URL generator)
↓
UpCloud S3 (blobs.atcr.io)
Data Flow: Push
1. docker push atcr.io/user/image:tag
2. AppView ← Docker client (manifest + blob metadata)
3. AppView → ATProto PDS (store manifest record)
4. Hold ← Docker client (request presigned URL)
5. Hold → UpCloud S3 API (generate presigned URL)
6. Hold → Docker client (return presigned URL)
7. UpCloud S3 ← Docker client (upload blob directly)
Data Flow: Pull
1. docker pull atcr.io/user/image:tag
2. AppView ← Docker client (get manifest)
3. AppView → ATProto PDS (fetch manifest record)
4. AppView → Docker client (return manifest with holdEndpoint)
5. Hold ← Docker client (request presigned URL)
6. Hold → UpCloud S3 API (generate presigned URL)
7. Hold → Docker client (return presigned URL)
8. UpCloud S3 ← Docker client (download blob directly)
Key insight: The hold service only generates presigned URLs. Actual data transfer happens directly between Docker clients and S3, minimizing bandwidth costs.
Troubleshooting
Issue: "Cannot connect to registry"
Check DNS:
dig atcr.io
dig hold01.atcr.io
Check Caddy logs:
docker logs atcr-caddy
Check firewall:
firewall-cmd --list-all
Issue: "Certificate errors"
Verify DNS is propagated:
curl -I https://atcr.io
Check Caddy is obtaining certificates:
docker logs atcr-caddy | grep -i certificate
Common causes:
- DNS not propagated (wait 30 minutes)
- Cloudflare proxy enabled (must be disabled)
- Port 80/443 blocked by firewall
Issue: "Presigned URLs fail"
Check S3 endpoint configuration:
docker exec atcr-hold env | grep S3
Verify custom domain CNAME:
dig blobs.atcr.io CNAME
Test S3 connectivity:
docker exec atcr-hold wget -O- https://blobs.atcr.io/
Common causes:
- Cloudflare proxy enabled on blobs.atcr.io
- S3_ENDPOINT misconfigured
- AWS credentials invalid
Issue: "Hold registration fails"
Check hold owner DID:
docker exec atcr-hold env | grep HOLD_OWNER
Verify OAuth flow:
/opt/atcr/get-hold-oauth.sh
Manual registration:
# Get fresh OAuth URL
docker restart atcr-hold
docker logs -f atcr-hold
Issue: "High bandwidth usage"
Presigned URLs should eliminate hold bandwidth. If seeing high usage:
Verify presigned URLs are enabled:
docker logs atcr-hold | grep -i presigned
Check S3 configuration:
docker exec atcr-hold env | grep S3_BUCKET
# Should show your S3 bucket name
Verify direct S3 access:
# Push should show 307 redirects in logs
docker logs -f atcr-hold
# Then push an image
Automatic Updates
# Install automatic updates
dnf install -y dnf-automatic
# Enable timer
systemctl enable --now dnf-automatic.timer
Monitoring
# Install monitoring tools
dnf install -y htop iotop nethogs
# Monitor resources
htop
# Monitor Docker
docker stats
Backups
Critical data to backup:
/opt/atcr/.env- Configuration- Docker volumes:
atcr-appview-data- Auth keys, UI database, OAuth tokenscaddy_data- TLS certificates
# Backup volumes
docker run --rm \
-v atcr-appview-data:/data \
-v /backup:/backup \
alpine tar czf /backup/atcr-appview-data.tar.gz /data
Scaling Considerations
Single Server (Current Setup)
- Suitable for: 100-1000 users
- Bottleneck: AppView CPU (manifest queries)
- Storage: Unlimited (S3)
Multi-Server (Future)
- Multiple AppView instances behind load balancer
- Shared Redis for hold cache (replace in-memory cache)
- PostgreSQL for UI database (replace SQLite)
- Multiple hold services (geo-distributed)
Support
- Documentation: https://tangled.org/evan.jarrett.net/at-container-registry
- Issues: https://tangled.org/evan.jarrett.net/at-container-registry/issues
- Bluesky: @evan.jarrett.net