Best Practices¶
This guide outlines best practices for using TelcoAPI in production environments.
Architecture Guidelines¶
High Availability¶
- Load Balancing
- Deploy multiple instances behind a load balancer
- Use round-robin or least-connections algorithms
- Implement health checks
from telcoapi.ha import HAClient
client = HAClient(
peers=[
{"host": "peer1.example.com", "port": 3868},
{"host": "peer2.example.com", "port": 3868}
],
strategy="round-robin"
)
- Failover
- Configure backup peers
- Implement automatic failover
- Monitor peer health
telcoapi:
diameter:
primary_peer:
host: peer1.example.com
port: 3868
backup_peers:
- host: peer2.example.com
port: 3868
- host: peer3.example.com
port: 3868
Performance Optimization¶
- Connection Pooling
- Reuse connections
- Configure optimal pool size
- Monitor pool metrics
from telcoapi.pool import ConnectionPool
pool = ConnectionPool(
min_size=5,
max_size=20,
idle_timeout=300
)
- Caching
- Cache frequently used data
- Use appropriate TTL values
- Implement cache invalidation
Security Best Practices¶
Authentication & Authorization¶
- TLS Configuration
- Use strong TLS versions (1.2+)
- Configure secure cipher suites
- Implement certificate validation
from telcoapi.security import TLSConfig
tls_config = TLSConfig(
cert_file="client.pem",
key_file="client.key",
ca_file="ca.pem",
min_version="TLSv1.2",
verify_peer=True
)
- API Security
- Use API keys
- Implement rate limiting
- Monitor for suspicious activity
from telcoapi.security import APISecurityConfig
security_config = APISecurityConfig(
rate_limit=100, # requests per second
max_concurrent=50,
api_key_header="X-API-Key"
)
Network Security¶
- Firewall Configuration
- Allow only necessary ports
- Implement IP whitelisting
- Use secure protocols
- Protocol Security
- Validate all input
- Sanitize responses
- Handle protocol attacks
from telcoapi.security import ProtocolValidator
validator = ProtocolValidator(
validate_avps=True,
sanitize_output=True,
max_message_size=65535
)
Monitoring & Logging¶
Metrics Collection¶
- Key Metrics
- Request/response latency
- Error rates
- Connection pool status
- Protocol-specific metrics
from telcoapi.metrics import MetricsCollector
metrics = MetricsCollector(
service_name="telcoapi",
labels={
"environment": "production",
"region": "us-east-1"
}
)
- Alerting
- Set up thresholds
- Configure notifications
- Define escalation paths
from telcoapi.monitoring import AlertManager
alerts = AlertManager(
error_threshold=0.1, # 10% error rate
latency_threshold=500, # 500ms
notification_channels=["email", "slack"]
)
Logging¶
- Log Levels
- DEBUG: Detailed debugging information
- INFO: General operational information
- WARNING: Warning messages
- ERROR: Error conditions
- CRITICAL: Critical conditions
from telcoapi.logging import setup_logging
setup_logging(
level="INFO",
file="telcoapi.log",
format="json",
rotate_size="100MB",
retain_days=30
)
- Log Management
- Implement log rotation
- Use structured logging
- Forward logs to central system
from telcoapi.logging import LogManager
log_manager = LogManager(
backend="elasticsearch",
retention_days=90,
compression=True
)
Error Handling¶
Retry Strategies¶
- Exponential Backoff
- Start with short delays
- Increase delay exponentially
- Set maximum retries
from telcoapi.retry import RetryStrategy
retry_strategy = RetryStrategy(
initial_delay=0.1,
max_delay=5.0,
max_retries=3,
backoff_factor=2.0
)
- Circuit Breaker
- Prevent cascade failures
- Allow system recovery
- Monitor breaker status
from telcoapi.circuit import CircuitBreaker
breaker = CircuitBreaker(
failure_threshold=5,
reset_timeout=60,
half_open_timeout=30
)
Testing¶
Unit Testing¶
- Mock Dependencies
- Use mock objects
- Test edge cases
- Validate responses
from unittest.mock import Mock
from telcoapi.testing import MockDiameterPeer
peer = MockDiameterPeer(
responses={
"CCR": {"result_code": 2001},
"AAR": {"result_code": 2001}
}
)
- Integration Testing
- Test with real peers
- Validate end-to-end flows
- Monitor performance
from telcoapi.testing import IntegrationTest
test = IntegrationTest(
peer="test.example.com",
scenarios=["auth", "charging"],
concurrent_users=10
)
Deployment¶
Container Guidelines¶
- Docker Configuration
- Use official base images
- Implement health checks
- Configure resource limits
FROM python:3.9-slim
WORKDIR /app
COPY requirements.txt .
RUN pip install -r requirements.txt
COPY . .
HEALTHCHECK CMD curl -f http://localhost/health
CMD ["python", "main.py"]
- Kubernetes Deployment
- Use StatefulSets for stateful components
- Configure readiness/liveness probes
- Implement proper scaling
apiVersion: apps/v1
kind: StatefulSet
metadata:
name: telcoapi
spec:
replicas: 3
selector:
matchLabels:
app: telcoapi
template:
spec:
containers:
- name: telcoapi
image: telcoapi:latest
resources:
limits:
cpu: "1"
memory: "1Gi"
livenessProbe:
httpGet:
path: /health
port: 8080
Documentation¶
Code Documentation¶
- Inline Documentation
- Document all public interfaces
- Include examples
- Explain complex logic
def send_request(self, command: str, avps: List[AVP]) -> Response:
"""
Send a Diameter request with the specified command and AVPs.
Args:
command: The command code (e.g., "CCR", "AAR")
avps: List of AVPs to include in the request
Returns:
Response object containing result code and AVPs
Raises:
ConnectionError: If connection to peer fails
ProtocolError: If protocol error occurs
"""
pass
- API Documentation
- Keep documentation up-to-date
- Include request/response examples
- Document error conditions
Maintenance¶
Version Management¶
- Dependency Updates
- Regularly update dependencies
- Test updates thoroughly
-
Maintain changelog
-
Database Management
- Regular backups
- Index optimization
- Data archival strategy
Monitoring & Alerts¶
- System Health
- Monitor resource usage
- Track error rates
-
Alert on anomalies
-
Performance Metrics
- Response times
- Throughput
- Resource utilization