18 KiB
Mode 1: Local PoC Setup - Detailed Workflow
Complete step-by-step process for setting up a local OpenTelemetry stack for Claude Code telemetry.
Overview
Goal: Create a complete local telemetry monitoring stack Time: 5-7 minutes Prerequisites: Docker Desktop, Claude Code, 2GB+ free disk space Output: Running Grafana dashboard with Claude Code metrics
Phase 0: Prerequisites Verification
Step 0.1: Check Docker Installation
# Check if Docker is installed
docker --version
# Expected: Docker version 20.10.0 or higher
If not installed:
Docker is not installed. Please install Docker Desktop:
- Mac: https://docs.docker.com/desktop/install/mac-install/
- Linux: https://docs.docker.com/desktop/install/linux-install/
- Windows: https://docs.docker.com/desktop/install/windows-install/
Stop if: Docker not installed
Step 0.2: Verify Docker is Running
# Check Docker daemon
docker ps
# Expected: List of containers (or empty list)
# Error: "Cannot connect to Docker daemon" means Docker isn't running
If not running:
Docker Desktop is not running. Please:
1. Open Docker Desktop application
2. Wait for the whale icon to be stable (not animated)
3. Try again
Stop if: Docker not running
Step 0.3: Check Docker Compose
# Modern Docker includes compose
docker compose version
# Expected: Docker Compose version v2.x.x or higher
Note: We use docker compose (not docker-compose)
Step 0.4: Check Available Ports
# Check if ports are available
lsof -i :3000 -i :4317 -i :4318 -i :8889 -i :9090 -i :3100
# Expected: No output (ports are free)
If ports in use:
The following ports are required but already in use:
- 3000: Grafana
- 4317: OTEL Collector (gRPC)
- 4318: OTEL Collector (HTTP)
- 8889: OTEL Collector (Prometheus exporter)
- 9090: Prometheus
- 3100: Loki
Options:
1. Stop services using these ports
2. Modify port mappings in docker-compose.yml (advanced)
Stop if: Critical ports (3000, 4317, 9090) are in use
Step 0.5: Check Disk Space
# Check available disk space
df -h ~
# Minimum: 2GB free (for Docker images ~1.5GB + data volumes)
# Recommended: 5GB+ free for comfortable operation
If low disk space:
Low disk space detected. Setup requires:
- Initial: ~1.5GB for Docker images (OTEL, Prometheus, Grafana, Loki)
- Runtime: 500MB+ for data volumes (grows over time)
- Minimum: 2GB free disk space required
Please free up space before continuing.
Phase 1: Directory Structure Creation
Step 1.1: Create Base Directory
mkdir -p ~/.claude/telemetry/{dashboards,docs}
cd ~/.claude/telemetry
Verify:
ls -la ~/.claude/telemetry
# Should show: dashboards/ and docs/ directories
Phase 2: Configuration File Generation
Step 2.1: Create docker-compose.yml
Template: templates/docker-compose-template.yml
services:
# OpenTelemetry Collector - receives telemetry from Claude Code
otel-collector:
image: otel/opentelemetry-collector-contrib:0.115.1
container_name: claude-otel-collector
command: ["--config=/etc/otel-collector-config.yml"]
volumes:
- ./otel-collector-config.yml:/etc/otel-collector-config.yml
ports:
- "4317:4317" # OTLP gRPC receiver
- "4318:4318" # OTLP HTTP receiver
- "8889:8889" # Prometheus metrics exporter
networks:
- claude-telemetry
# Prometheus - stores metrics
prometheus:
image: prom/prometheus:v2.55.1
container_name: claude-prometheus
command:
- '--config.file=/etc/prometheus/prometheus.yml'
- '--storage.tsdb.path=/prometheus'
- '--web.console.libraries=/etc/prometheus/console_libraries'
- '--web.console.templates=/etc/prometheus/consoles'
- '--web.enable-lifecycle'
volumes:
- ./prometheus.yml:/etc/prometheus/prometheus.yml
- prometheus-data:/prometheus
ports:
- "9090:9090"
networks:
- claude-telemetry
depends_on:
- otel-collector
# Loki - stores logs
loki:
image: grafana/loki:3.0.0
container_name: claude-loki
ports:
- "3100:3100"
command: -config.file=/etc/loki/local-config.yaml
volumes:
- loki-data:/loki
networks:
- claude-telemetry
# Grafana - visualization dashboards
grafana:
image: grafana/grafana:11.3.0
container_name: claude-grafana
ports:
- "3000:3000"
environment:
- GF_SECURITY_ADMIN_USER=admin
- GF_SECURITY_ADMIN_PASSWORD=admin
- GF_USERS_ALLOW_SIGN_UP=false
volumes:
- grafana-data:/var/lib/grafana
- ./grafana-datasources.yml:/etc/grafana/provisioning/datasources/datasources.yml
networks:
- claude-telemetry
depends_on:
- prometheus
- loki
networks:
claude-telemetry:
driver: bridge
volumes:
prometheus-data:
loki-data:
grafana-data:
Write to: ~/.claude/telemetry/docker-compose.yml
Note on Image Versions:
- Versions are pinned to prevent breaking changes from upstream
- Current versions (tested and stable):
- OTEL Collector: 0.115.1
- Prometheus: v2.55.1
- Loki: 3.0.0
- Grafana: 11.3.0
- To update: Change version tags in docker-compose.yml and run
docker compose pull
Step 2.2: Create OTEL Collector Configuration
Template: templates/otel-collector-config-template.yml
CRITICAL: Use debug exporter, not deprecated logging exporter
receivers:
otlp:
protocols:
grpc:
endpoint: 0.0.0.0:4317
http:
endpoint: 0.0.0.0:4318
processors:
batch:
timeout: 10s
send_batch_size: 1024
resource:
attributes:
- key: service.name
value: claude-code
action: upsert
memory_limiter:
check_interval: 1s
limit_mib: 512
exporters:
# Export metrics to Prometheus
prometheus:
endpoint: "0.0.0.0:8889"
namespace: claude_code
const_labels:
source: claude_code_telemetry
# Export logs to Loki via OTLP HTTP
otlphttp/loki:
endpoint: http://loki:3100/otlp
tls:
insecure: true
# Debug exporter (replaces deprecated logging exporter)
debug:
verbosity: normal
service:
pipelines:
metrics:
receivers: [otlp]
processors: [memory_limiter, batch, resource]
exporters: [prometheus, debug]
logs:
receivers: [otlp]
processors: [memory_limiter, batch, resource]
exporters: [otlphttp/loki, debug]
telemetry:
logs:
level: info
Write to: ~/.claude/telemetry/otel-collector-config.yml
Step 2.3: Create Prometheus Configuration
Template: templates/prometheus-config-template.yml
global:
scrape_interval: 15s
evaluation_interval: 15s
scrape_configs:
- job_name: 'otel-collector'
static_configs:
- targets: ['otel-collector:8889']
Write to: ~/.claude/telemetry/prometheus.yml
Step 2.4: Create Grafana Datasources Configuration
Template: templates/grafana-datasources-template.yml
apiVersion: 1
datasources:
- name: Prometheus
type: prometheus
access: proxy
url: http://prometheus:9090
isDefault: true
editable: true
- name: Loki
type: loki
access: proxy
url: http://loki:3100
editable: true
Write to: ~/.claude/telemetry/grafana-datasources.yml
Step 2.5: Create Management Scripts
Start Script:
#!/bin/bash
# start-telemetry.sh
echo "🚀 Starting Claude Code Telemetry Stack..."
# Check if Docker is running
if ! docker info > /dev/null 2>&1; then
echo "❌ Docker is not running. Please start Docker Desktop."
exit 1
fi
cd ~/.claude/telemetry || exit 1
# Start containers
docker compose up -d
# Wait for services to be ready
echo "⏳ Waiting for services to start..."
sleep 5
# Check container status
echo ""
echo "📊 Container Status:"
docker ps --filter "name=claude-" --format "table {{.Names}}\t{{.Status}}"
echo ""
echo "✅ Telemetry stack started!"
echo ""
echo "🌐 Access URLs:"
echo " Grafana: http://localhost:3000 (admin/admin)"
echo " Prometheus: http://localhost:9090"
echo " Loki: http://localhost:3100"
echo ""
echo "📝 Next steps:"
echo " 1. Restart Claude Code to activate telemetry"
echo " 2. Import dashboards into Grafana"
echo " 3. Use Claude Code normally - metrics will appear in ~60 seconds"
Write to: ~/.claude/telemetry/start-telemetry.sh
chmod +x ~/.claude/telemetry/start-telemetry.sh
Stop Script:
#!/bin/bash
# stop-telemetry.sh
echo "🛑 Stopping Claude Code Telemetry Stack..."
cd ~/.claude/telemetry || exit 1
docker compose down
echo "✅ Telemetry stack stopped"
echo ""
echo "Note: Data is preserved in Docker volumes."
echo "To start again: ./start-telemetry.sh"
echo "To completely remove all data: ./cleanup-telemetry.sh"
Write to: ~/.claude/telemetry/stop-telemetry.sh
chmod +x ~/.claude/telemetry/stop-telemetry.sh
Cleanup Script (Full Data Removal):
#!/bin/bash
# cleanup-telemetry.sh
echo "⚠️ WARNING: This will remove ALL telemetry data including:"
echo " - All containers"
echo " - All Docker volumes (Grafana, Prometheus, Loki data)"
echo " - Network configuration"
echo ""
read -p "Are you sure you want to proceed? (yes/no): " -r
echo
if [[ ! $REPLY =~ ^[Yy][Ee][Ss]$ ]]; then
echo "Cleanup cancelled."
exit 0
fi
echo "Performing full cleanup of Claude Code telemetry stack..."
cd ~/.claude/telemetry || exit 1
docker compose down -v
echo ""
echo "✅ Full cleanup complete!"
echo ""
echo "Removed:"
echo " ✓ All containers (otel-collector, prometheus, loki, grafana)"
echo " ✓ All volumes (all historical data)"
echo " ✓ Network configuration"
echo ""
echo "Preserved:"
echo " ✓ Configuration files in ~/.claude/telemetry/"
echo " ✓ Claude Code settings in ~/.claude/settings.json"
echo ""
echo "To start fresh: ./start-telemetry.sh"
Write to: ~/.claude/telemetry/cleanup-telemetry.sh
chmod +x ~/.claude/telemetry/cleanup-telemetry.sh
Phase 3: Start Docker Containers
Step 3.1: Start All Services
cd ~/.claude/telemetry
docker compose up -d
Expected output:
[+] Running 5/5
✔ Network claude_claude-telemetry Created
✔ Container claude-loki Started
✔ Container claude-otel-collector Started
✔ Container claude-prometheus Started
✔ Container claude-grafana Started
Step 3.2: Verify Containers are Running
docker ps --filter "name=claude-" --format "table {{.Names}}\t{{.Status}}"
Expected: All 4 containers showing "Up X seconds/minutes"
If OTEL Collector is not running:
# Check logs
docker logs claude-otel-collector
Common issue: "logging exporter deprecated" error
Solution: Config file uses debug exporter (already fixed in template)
Step 3.3: Wait for Services to be Healthy
# Give services time to initialize
sleep 10
# Test Prometheus
curl -s http://localhost:9090/-/healthy
# Expected: Prometheus is Healthy.
# Test Grafana
curl -s http://localhost:3000/api/health | jq
# Expected: {"database": "ok", ...}
Phase 4: Update Claude Code Settings
Step 4.1: Backup Existing Settings
cp ~/.claude/settings.json ~/.claude/settings.json.backup
Step 4.2: Read Current Settings
# Read existing settings
cat ~/.claude/settings.json
Step 4.3: Merge Telemetry Configuration
Add to settings.json env section:
{
"env": {
"CLAUDE_CODE_ENABLE_TELEMETRY": "1",
"OTEL_METRICS_EXPORTER": "otlp",
"OTEL_LOGS_EXPORTER": "otlp",
"OTEL_EXPORTER_OTLP_PROTOCOL": "grpc",
"OTEL_EXPORTER_OTLP_ENDPOINT": "http://localhost:4317",
"OTEL_METRIC_EXPORT_INTERVAL": "60000",
"OTEL_LOGS_EXPORT_INTERVAL": "5000",
"OTEL_LOG_USER_PROMPTS": "1",
"OTEL_METRICS_INCLUDE_SESSION_ID": "true",
"OTEL_METRICS_INCLUDE_VERSION": "true",
"OTEL_METRICS_INCLUDE_ACCOUNT_UUID": "true",
"OTEL_RESOURCE_ATTRIBUTES": "environment=local,deployment=poc"
}
}
Template: templates/settings-env-template.json
Note: Merge with existing env vars, don't replace entire settings file
Step 4.4: Verify Settings Updated
cat ~/.claude/settings.json | grep CLAUDE_CODE_ENABLE_TELEMETRY
# Expected: "CLAUDE_CODE_ENABLE_TELEMETRY": "1"
Phase 5: Grafana Dashboard Import
Step 5.1: Detect Prometheus Datasource UID
Option A: Via Grafana API
curl -s http://admin:admin@localhost:3000/api/datasources | \
jq '.[] | select(.type=="prometheus") | {name, uid}'
Expected:
{
"name": "Prometheus",
"uid": "PBFA97CFB590B2093"
}
Option B: Manual Detection
- Open http://localhost:3000
- Go to Connections → Data sources
- Click Prometheus
- Note the UID from the URL:
/datasources/edit/{UID}
Step 5.2: Fix Dashboard with Correct UID
Read dashboard template: dashboards/claude-code-overview-template.json
Replace all instances of:
"datasource": {
"type": "prometheus",
"uid": "prometheus"
}
With:
"datasource": {
"type": "prometheus",
"uid": "PBFA97CFB590B2093"
}
Use detected UID from Step 5.1
Step 5.3: Verify Metric Names
CRITICAL: Claude Code metrics use double prefix: claude_code_claude_code_*
Verify actual metric names:
curl -s 'http://localhost:9090/api/v1/label/__name__/values' | \
grep claude_code
Expected metrics:
claude_code_claude_code_active_time_seconds_totalclaude_code_claude_code_commit_count_totalclaude_code_claude_code_cost_usage_USD_totalclaude_code_claude_code_lines_of_code_count_totalclaude_code_claude_code_token_usage_tokens_total
Dashboard queries must use these exact names
Step 5.4: Save Corrected Dashboard
Write to: ~/.claude/telemetry/dashboards/claude-code-overview.json
Step 5.5: Import Dashboard
Option A: Via Grafana UI
- Open http://localhost:3000 (admin/admin)
- Dashboards → New → Import
- Upload JSON file:
~/.claude/telemetry/dashboards/claude-code-overview.json - Click Import
Option B: Via API
curl -X POST http://admin:admin@localhost:3000/api/dashboards/db \
-H "Content-Type: application/json" \
-d @~/.claude/telemetry/dashboards/claude-code-overview.json
Phase 6: Verification & Testing
Step 6.1: Verify OTEL Collector Receiving Data
Note: Claude Code must be restarted for telemetry to activate!
# Check OTEL Collector logs for incoming data
docker logs claude-otel-collector --tail 50 | grep -i "received"
Expected: Messages about receiving OTLP data
If no data:
Reminder: You must restart Claude Code for telemetry to activate.
1. Exit current Claude Code session
2. Start new session: claude
3. Wait 60 seconds
4. Check again
Step 6.2: Query Prometheus for Metrics
# Check if any claude_code metrics exist
curl -s 'http://localhost:9090/api/v1/label/__name__/values' | \
jq '.data[] | select(. | startswith("claude_code"))'
Expected: List of claude_code metrics
Sample query:
curl -s 'http://localhost:9090/api/v1/query?query=claude_code_claude_code_lines_of_code_count_total' | \
jq '.data.result'
Expected: Non-empty result array
Step 6.3: Test Grafana Dashboard
- Open http://localhost:3000
- Navigate to imported dashboard
- Check panels show data (or "No data" if Claude Code hasn't been used yet)
If "No data":
- Normal if Claude Code hasn't generated any activity yet
- Use Claude Code for 1-2 minutes
- Refresh dashboard
If "Datasource not found":
- UID mismatch - go back to Step 5.1
If queries fail:
- Metric name mismatch - verify double prefix
Step 6.4: Generate Test Data
To populate dashboard quickly:
Use Claude Code to:
1. Ask a question (generates token usage)
2. Request a code modification (generates LOC metrics)
3. Have a conversation (generates active time)
Wait 60 seconds, then refresh Grafana dashboard
Phase 7: Documentation & Quickstart Guide
Step 7.1: Create Quickstart Guide
Write to: ~/.claude/telemetry/docs/quickstart.md
Include:
- URLs and credentials
- Management commands (start/stop)
- What metrics are being collected
- How to access dashboards
- Troubleshooting quick reference
Template: data/quickstart-template.md
Step 7.2: Provide User Summary
✅ Setup Complete!
📦 Installation:
Location: ~/.claude/telemetry/
Containers: 4 running (OTEL Collector, Prometheus, Loki, Grafana)
🌐 Access URLs:
Grafana: http://localhost:3000 (admin/admin)
Prometheus: http://localhost:9090
OTEL Collector: localhost:4317 (gRPC), localhost:4318 (HTTP)
📊 Dashboards Imported:
✓ Claude Code - Overview
📝 What's Being Collected:
• Session counts and active time
• Token usage (input/output/cached)
• API costs by model
• Lines of code modified
• Commits and PRs created
• Tool execution metrics
⚙️ Management:
Start: ~/.claude/telemetry/start-telemetry.sh
Stop: ~/.claude/telemetry/stop-telemetry.sh (preserves data)
Cleanup: ~/.claude/telemetry/cleanup-telemetry.sh (removes all data)
Logs: docker logs claude-otel-collector
🚀 Next Steps:
1. ✅ Restart Claude Code (telemetry activates on startup)
2. Use Claude Code normally
3. Check dashboard in ~60 seconds
4. Review quickstart: ~/.claude/telemetry/docs/quickstart.md
📚 Documentation:
- Quickstart: ~/.claude/telemetry/docs/quickstart.md
- Metrics Reference: data/metrics-reference.md
- Troubleshooting: data/troubleshooting.md
Cleanup Instructions
Remove Stack (Keep Data)
cd ~/.claude/telemetry
docker compose down
Remove Stack and Data
cd ~/.claude/telemetry
docker compose down -v
Remove Telemetry from Claude Code
Edit ~/.claude/settings.json and remove the env section with telemetry variables, or set:
"CLAUDE_CODE_ENABLE_TELEMETRY": "0"
Then restart Claude Code.
Troubleshooting
See data/troubleshooting.md for detailed solutions to common issues.
Quick fixes:
- Container won't start → Check logs:
docker logs claude-otel-collector - No metrics → Restart Claude Code
- Dashboard broken → Verify datasource UID
- Wrong metric names → Use double prefix:
claude_code_claude_code_*