Introduction
RDS connection limits can cause application failures during traffic spikes. Understanding max_connections and implementing pooling is critical for reliability.
Symptoms
- 'Too many connections' errors
- Intermittent connection failures
- Application timeouts during peak load
- RDS showing high connection count
Step-by-Step Fix
- 1.Check current connection usage:
- 2.```sql
- 3.SHOW STATUS LIKE 'Threads_connected';
- 4.SHOW STATUS LIKE 'Max_used_connections';
- 5.SHOW VARIABLES LIKE 'max_connections';
- 6.
` - 7.Configure RDS Proxy:
- 8.```bash
- 9.aws rds create-db-proxy \
- 10.--db-proxy-name my-proxy \
- 11.--engine-family MYSQL \
- 12.--auth ProxyAuthConfig={UserName=myuser} \
- 13.--role-arn arn:aws:iam::account:role/RDSProxyRole \
- 14.--vpc-subnet-ids subnet-xxx subnet-yyy
- 15.
` - 16.Tune connection pool settings:
- 17.```python
- 18.# SQLAlchemy example
- 19.engine = create_engine(
- 20.DATABASE_URL,
- 21.pool_size=5,
- 22.max_overflow=10,
- 23.pool_timeout=30,
- 24.pool_recycle=3600,
- 25.pool_pre_ping=True
- 26.)
- 27.
`