Docker Compose depends_on Doesn’t Wait for Service Ready — Race Condition at Startup
Symptom
- Agent container fails immediately on startup:
Connection refusedto database docker-compose upstarts all containers but agent fails before DB is ready- Works if you start database first, wait 10 seconds, then start agent
depends_on: postgresin docker-compose.yml doesn’t help- Fails intermittently — sometimes works, sometimes doesn’t (timing-dependent)
Root Cause
depends_on only waits for the container to start, not for the service inside to be ready to accept connections. PostgreSQL takes 2–5 seconds to initialize after the container starts. Redis takes 1–2 seconds. The agent tries to connect immediately and fails.
Fix
Option 1: Add healthchecks to services + condition in depends_on
# docker-compose.yml
services:
agent:
build: .
depends_on:
postgres:
condition: service_healthy # Wait for healthcheck to pass
redis:
condition: service_healthy
environment:
- DATABASE_URL=postgresql://user:pass@postgres:5432/agentdb
- REDIS_URL=redis://redis:6379
postgres:
image: postgres:16
environment:
POSTGRES_PASSWORD: password
POSTGRES_DB: agentdb
healthcheck:
test: ["CMD-SHELL", "pg_isready -U postgres -d agentdb"]
interval: 5s # Check every 5 seconds
timeout: 5s # Fail if check takes more than 5s
retries: 10 # Allow 10 failures before marking unhealthy
start_period: 10s # Don't start checking for 10s after container starts
redis:
image: redis:7-alpine
healthcheck:
test: ["CMD", "redis-cli", "ping"]
interval: 5s
timeout: 3s
retries: 5
start_period: 5s
mongodb:
image: mongo:7
healthcheck:
test: ["CMD", "mongosh", "--eval", "db.adminCommand('ping')"]
interval: 10s
timeout: 5s
retries: 5
start_period: 15s
Option 2: Wait-for-it script in entrypoint
# Dockerfile
FROM python:3.12-slim
# Add wait-for-it utility
ADD https://raw.githubusercontent.com/vishnubob/wait-for-it/master/wait-for-it.sh /wait-for-it.sh
RUN chmod +x /wait-for-it.sh
COPY . /app
WORKDIR /app
RUN pip install -r requirements.txt
# Wait for postgres to be ready, then start agent
ENTRYPOINT ["/wait-for-it.sh", "postgres:5432", "--timeout=60", "--", "python", "agent.py"]
# Or in docker-compose command
services:
agent:
image: my-agent
command: >
sh -c "
until nc -z postgres 5432; do
echo 'Waiting for postgres...'
sleep 2
done
echo 'Postgres is ready!'
python agent.py
"
Option 3: Retry logic in the agent itself (resilient startup)
import asyncpg, asyncio, os, time
async def connect_with_retry(dsn: str, max_attempts: int = 30, delay: float = 2.0):
"""Connect to database, retrying until successful or max_attempts exceeded"""
for attempt in range(1, max_attempts + 1):
try:
conn = await asyncpg.connect(dsn)
print(f"Database connected on attempt {attempt}")
return conn
except (asyncpg.CannotConnectNowError, ConnectionRefusedError, OSError) as e:
if attempt == max_attempts:
raise RuntimeError(f"Could not connect after {max_attempts} attempts: {e}")
print(f"Attempt {attempt}/{max_attempts}: {e}. Retrying in {delay}s...")
await asyncio.sleep(delay)
async def main():
db = await connect_with_retry(os.environ["DATABASE_URL"])
# Now safe to start agent
await run_agent(db)
Option 4: Healthcheck for your own agent
from fastapi import FastAPI
import asyncpg, redis.asyncio as redis
app = FastAPI()
@app.get("/health")
async def health():
"""Liveness + readiness probe"""
checks = {}
# Check database
try:
conn = await asyncpg.connect(os.environ["DATABASE_URL"])
await conn.fetchval("SELECT 1")
await conn.close()
checks["database"] = "ok"
except Exception as e:
checks["database"] = f"error: {e}"
# Check Redis
try:
r = redis.from_url(os.environ["REDIS_URL"])
await r.ping()
await r.aclose()
checks["redis"] = "ok"
except Exception as e:
checks["redis"] = f"error: {e}"
all_ok = all(v == "ok" for v in checks.values())
status_code = 200 if all_ok else 503
return {"status": "healthy" if all_ok else "unhealthy", "checks": checks}
# Use your agent's own healthcheck in docker-compose
services:
agent:
build: .
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:8080/health"]
interval: 10s
timeout: 5s
retries: 5
start_period: 30s
Option 5: Kubernetes equivalent — readinessProbe
# k8s deployment.yaml
spec:
containers:
- name: agent
image: my-agent
readinessProbe:
httpGet:
path: /health
port: 8080
initialDelaySeconds: 10
periodSeconds: 5
failureThreshold: 10 # 50 seconds total
livenessProbe:
httpGet:
path: /health
port: 8080
initialDelaySeconds: 30
periodSeconds: 10
Healthcheck Commands by Service
| Service | Healthcheck command |
|---|---|
| PostgreSQL | pg_isready -U $POSTGRES_USER -d $POSTGRES_DB |
| MySQL | mysqladmin ping -h localhost |
| Redis | redis-cli ping |
| MongoDB | mongosh --eval "db.adminCommand('ping')" |
| Elasticsearch | curl -f http://localhost:9200/_health |
| RabbitMQ | rabbitmq-diagnostics -q ping |
| Kafka | kafka-topics.sh --bootstrap-server localhost:9092 --list |
Expected Token Savings
Debugging intermittent startup race condition: ~6,000 tokens Healthcheck + condition: prevents the race entirely
Environment
- Any Docker Compose setup with multiple services that depend on each other
- Source: direct experience; depends_on confusion is one of the most common Docker mistakes
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