13 KiB
Session Summary - February 7, 2026
🎯 Session Objectives
Resolve customer ID confusion, complete Prometheus/Grafana setup, and implement host lifecycle controls with proper delete safeguards.
✅ Work Completed
1. Customer ID Schema Standardization
Problem Identified:
- Mixed ID formats in
ContainerInstance.customerIdfield - Sometimes
u000(manual test data) - Sometimes
u-dev-001(hardcoded in frontend) - Sometimes Prisma CUID (new user registrations)
- Root cause: Frontend hardcoded IDs instead of using authenticated user's ID
Decision Made: ✅ Use Prisma CUID (User.id) as authoritative identifier
Implementation Rule:
// Always derive from auth context
const customerId = req.user.id;
// NEVER accept client-supplied customerId
// NEVER hardcode test IDs in production code
Why This Works:
- Guaranteed unique (Prisma generates)
- Harder to guess (security benefit)
- Already in database (no schema changes needed)
- Eliminates format confusion
Display Strategy:
- UI shows:
displayName (username) • [first 8 chars of ID] - Example:
Jester (jester) • cmk07b7n4 - Logs include full CUID for debugging
Long-term Option (deferred):
- Add optional
publicCustomerIdfield (u001, u002, etc.) - Keep CUID as internal primary key
- Use public ID only for invoices, support tickets, external references
- Not blocking current development
Documentation:
zlh-grind/SCRATCH/2026-02-07_customer-id-schema.md
2. Prometheus + Grafana Operational
Achievement: Full metrics stack now working
Components Verified:
- ✅ node_exporter installed in every LXC template
- ✅ Prometheus scraping via HTTP service discovery
- ✅ API endpoint
/sd/exportersproviding dynamic targets - ✅ Grafana dashboards importing and displaying data
- ✅ Custom "ZLH LXC Overview" dashboard operational
Prometheus Configuration:
# /etc/prometheus/prometheus.yml on zlh-monitor
- job_name: 'zlh_lxc'
scrape_interval: 15s
http_sd_configs:
- url: http://10.60.0.245:4000/sd/exporters
refresh_interval: 30s
authorization:
type: Bearer
credentials: '<TOKEN>'
Why This Works:
- No hardcoded container IPs needed
- New containers automatically discovered
- API dynamically generates target list
- Prometheus refreshes every 30s
Grafana Dashboard Setup:
- Import gotcha resolved: datasource UID mapping required
- Standard Node Exporter dashboard working
- Custom ZLH dashboard with container-specific views
- CPU metric variance vs
topnoted (acceptable for monitoring needs)
CPU Metric Note:
- Grafana CPU% may not match
topexactly - Reasons: rate windows, per-core vs normalized, cgroup accounting
- Decision: Good enough for "is it pegged?" / "trending up/down?" / "is it dead?"
- Not blocking on perfect parity
Next Step - Portal Integration: Plan to expose metrics to portal server cards via API:
GET /api/metrics/servers/:vmid/summary
Response:
{
cpu_percent: 45.2,
mem_percent: 62.8,
disk_percent: 38.5,
net_in: 1234567, // bytes/sec
net_out: 987654
}
PromQL Building Blocks (documented):
- CPU:
100 - (avg by (instance) (rate(node_cpu_seconds_total{mode="idle"}[5m])) * 100) - Memory:
100 * (1 - (node_memory_MemAvailable_bytes / node_memory_MemTotal_bytes)) - Disk:
100 * (1 - (node_filesystem_avail_bytes / node_filesystem_size_bytes)) - Network:
rate(node_network_receive_bytes_total[5m])
Documentation:
zlh-grind/SCRATCH/2026-02-07_prometheus-grafana.md
3. Host Controls + Delete Failsafe
Problem:
- Frontend added "Delete Server" button with confirmation
- Backend has safety check: refuse delete if LXC host is running
- Portal only had game server controls (process), not host controls (LXC)
- Users couldn't stop host to enable deletion
Decision: ✅ Keep delete failsafe + Add host controls
Why Not Remove Failsafe:
- Prevents accidental data loss
- Forces user to consciously stop host before deleting
- Gives time to reconsider deletion
- Aligns with "safety first" platform philosophy
New Host Controls Added:
- Start Host
- Stop Host
- Restart Host
API Endpoints:
POST /servers/:id/host/start
POST /servers/:id/host/stop
POST /servers/:id/host/restart
Backend Implementation:
- Calls
proxmoxClient.startContainer(vmid) - Calls
proxmoxClient.stopContainer(vmid)orshutdownContainer(vmid) - Restart = stop then start sequence
UX Wording Decision:
- Avoid "container" in user-facing UI
- Use "Host Controls" or "Server Host"
- Internal: LXC lifecycle management
- User sees: "Start Host" / "Stop Host" / "Restart Host"
Delete Gate Logic:
DELETE /servers/:id
├─ Check: Is LXC host running?
│ ├─ YES → Deny (403 Forbidden)
│ └─ NO → Allow deletion
User Flow:
- User clicks "Delete Server"
- If host running: "Please stop the host first"
- User uses "Stop Host" control
- Host shuts down
- User clicks "Delete Server" again
- Deletion proceeds
Benefits:
- Safety without frustration
- User control over compute spend (can stop idle containers)
- Clear UX pattern (stop → delete)
- Prevents orphaned running containers
Testing Checklist Verified:
- ✅ Start Host → LXC goes running
- ✅ Stop Host → LXC shuts down
- ✅ Restart Host → stop then start
- ✅ Delete while running → denied
- ✅ Delete after stop → allowed
Documentation:
zlh-grind/SCRATCH/2026-02-07_host-controls-and-delete-failsafe.md
📊 Technical Analysis
Customer ID Impact
Before:
- Database had mixed formats (u000, u-dev-001, CUIDs)
- Frontend hardcoded test IDs
- Provisioning inconsistent with auth context
- Schema confusion across sessions
After:
- Single format: Prisma CUID from
User.id - Always derive from
req.user.id - Consistent across all container creation
- No more format guessing
Migration Path:
- New containers: automatic (uses req.user.id)
- Existing test data: leave as-is or clean up later
- Rule enforced going forward
Prometheus Architecture
HTTP Service Discovery Pattern:
Prometheus (zlh-monitor)
↓
GET /sd/exporters (API endpoint)
↓
Returns dynamic target list:
[
{
"targets": ["10.200.0.50:9100"],
"labels": {
"vmid": "1050",
"type": "game",
"customer": "jester"
}
},
...
]
↓
Prometheus scrapes all targets
↓
Metrics available in Grafana
Why This Works:
- Scales automatically (new containers auto-discovered)
- No manual config changes needed
- API is source of truth for container inventory
- Prometheus just consumes the list
Delete Safety Pattern
Design Philosophy:
Add controls, don't remove safeguards
Pattern:
- Safety check remains: "host must be stopped"
- User empowerment: give them stop/start controls
- Clear feedback: explain why delete is blocked
- Obvious path forward: "stop host first"
Alternative Considered and Rejected:
- Auto-stop before delete: Too dangerous (user may not realize host will stop)
- Remove safety check: Defeats purpose of safeguard
- Admin-only delete: Breaks self-service model
Chosen Approach Benefits:
- User maintains control
- Clear cause-and-effect
- Prevents accidents
- Enables compute cost management (stop idle hosts)
🎯 Platform Status
Infrastructure ✅
- Prometheus/Grafana fully operational
- HTTP service discovery working
- Metrics available for all containers
- Ready for portal integration
Backend ✅
- Customer ID standardization enforced
- Host lifecycle controls implemented
- Delete safeguards preserved
- API endpoints ready for frontend
Frontend 🔧
- Needs to stop hardcoding customer IDs
- Needs to integrate host controls UI
- Needs to handle delete flow (stop → delete)
- Portal metrics cards planned (next)
Observability ✅
- Full metrics stack operational
- Custom dashboards working
- PromQL queries documented
- Ready for production monitoring
📋 Implementation Checklist
Customer ID Enforcement (Backend)
- Identify hardcoded IDs in provisioning code
- Document decision to use Prisma CUID
- Update provisioning endpoint to use
req.user.id - Remove any client-supplied customerId acceptance
- Verify new containers use correct ID format
Customer ID Updates (Frontend)
- Remove
u-dev-001hardcoding - Use authenticated user's ID from token
- Update display to show
displayName (username) • ID - Test with new user registration
Host Controls (Frontend)
- Add Start/Stop/Restart Host buttons to server cards
- Wire to
/servers/:id/host/{start|stop|restart}endpoints - Update delete flow to check host status
- Show "Stop host first" message if delete blocked
- Test full flow: stop → delete
Portal Metrics (Next Sprint)
- Create
/api/metrics/servers/:vmid/summaryendpoint - Query Prometheus from API (server-side)
- Return CPU/RAM/Disk/Net percentages
- Add metrics display to server cards
- Handle missing/stale data gracefully
🔑 Key Decisions Made
Decision 1: Prisma CUID as Customer ID
Rationale:
- Already generated by Prisma automatically
- Guaranteed unique, hard to guess
- No schema changes needed
- Eliminates format confusion immediately
Alternative Considered: Human-friendly sequential IDs (u001, u002) Why Deferred: Adds complexity, not blocking current work
Implementation: Use req.user.id everywhere, display nicely in UI
Decision 2: Keep Delete Failsafe
Rationale:
- Prevents accidental data loss
- Forces conscious decision (stop then delete)
- Aligns with safety-first philosophy
- Better to add controls than remove safeguards
Alternative Considered: Auto-stop before delete Why Rejected: Too dangerous, removes user control
Implementation: Add host controls so users can stop themselves
Decision 3: Prometheus HTTP Service Discovery
Rationale:
- Scales automatically with container growth
- No manual configuration maintenance
- API is authoritative source of truth
- Consistent with architectural boundaries
Alternative Considered: Static prometheus config with container IPs Why Rejected: Doesn't scale, manual updates, IP changes break it
Implementation: API endpoint /sd/exporters returns dynamic targets
🚀 Next Session Priorities
Immediate (Next Session)
-
Frontend Customer ID Fix
- Remove hardcoded
u-dev-001 - Use
req.user.idfrom auth context - Test with new user registration
- Remove hardcoded
-
Host Controls UI
- Add start/stop/restart buttons
- Wire to API endpoints
- Update delete confirmation flow
-
Portal Metrics Endpoint
- Create API endpoint querying Prometheus
- Return summary metrics for server cards
- Test with live containers
This Week
-
Metrics in Portal
- Display CPU/RAM/Disk/Net on server cards
- Handle stale/missing data
- Add loading states
-
Testing
- End-to-end customer ID flow
- Host lifecycle controls
- Delete with safety check
- Metrics display accuracy
Next Week
- Security Vulnerability Fixes (still pending)
- Server ownership bypass
- Admin privilege escalation
- Token URL exposure
- API key validation
📁 Files Modified
zlh-grind Repository:
README.md- Updated with Feb 7 handover summarySCRATCH/2026-02-07_customer-id-schema.md- CreatedSCRATCH/2026-02-07_prometheus-grafana.md- CreatedSCRATCH/2026-02-07_host-controls-and-delete-failsafe.md- Created
knowledge-base Repository:
Session_Summaries/2026-02-07_Customer-ID-Prometheus-Host-Controls.md- This file (created)
🔗 Reference Documentation
Session Documents:
- zlh-grind: https://git.zerolaghub.com/jester/zlh-grind
- Previous session: Session_Summaries/2026-01-18_Architectural_Guardrails.md
Platform Documentation:
- Cross Project Tracker: ZeroLagHub_Cross_Project_Tracker.md
- Current State: ZeroLagHub_Complete_Current_State_Jan2026.md
PromQL Resources:
- Prometheus documentation: https://prometheus.io/docs/
- Node Exporter metrics: Standard exporter for system metrics
💡 Key Insights
1. Standardization Eliminates Confusion
- Mixed ID formats caused confusion across sessions
- Single format (Prisma CUID) removes ambiguity
- Display layer can make IDs human-friendly
- Backend uses what's already in database
2. Safety Through Empowerment
- Don't remove safeguards, add user controls
- Delete failsafe + host controls = safety + agency
- Clear UX: "stop host first" tells user what to do
- Prevents accidents without frustration
3. HTTP Service Discovery Scales
- Dynamic target discovery from API
- No manual Prometheus config updates
- Containers auto-discovered on creation
- API as authoritative inventory source
4. Monitoring is Production-Ready
- Full metrics stack operational
- Grafana dashboards working
- Ready for portal integration
- PromQL queries documented for reuse
Session Duration: ~2-3 hours
Session Type: Platform foundation + UX safety
Next AI: Claude or GPT (frontend customer ID fix + host controls UI)
Blocking Issues: None (all decisions made, implementation ready)
Session Outcome: ✅ Three critical platform decisions made and documented