Logging and monitoring in Serverless architecture are key to ensuring application observability and stability:
Log management:
1. Log collection
- CloudWatch Logs: AWS native log service, automatically collects Lambda logs
- Structured logging: Use JSON format to record structured logs for easy query and analysis
- Log levels: Reasonably set log levels (DEBUG, INFO, WARN, ERROR)
2. Log analysis
- Log querying: Use CloudWatch Logs Insights to query and analyze logs
- Log aggregation: Aggregate logs from multiple functions to a unified platform
- Log alerting: Set log alert rules to detect anomalies in time
3. Logging best practices
- Context information: Record context information such as request ID, user ID
- Sensitive information: Avoid recording sensitive information in logs
- Log rotation: Configure log retention policies to control storage costs
Monitoring metrics:
1. Basic metrics
- Invocation count: Number of times the function is called
- Error rate: Ratio of function execution failures
- Execution time: Average, maximum, and minimum function execution time
- Concurrency: Number of function instances executing simultaneously
2. Business metrics
- Response time: End-to-end response time
- Throughput: Number of requests processed per unit time
- Success rate: Ratio of successful requests
3. Resource metrics
- Memory usage: Function memory usage
- CPU usage: Function CPU usage
- Network traffic: Inbound and outbound traffic
Monitoring tools:
1. CloudWatch
- Features: AWS native monitoring service
- Advantages: Deep integration with AWS services
- Applicable scenarios: Applications within AWS ecosystem
2. Datadog
- Features: Third-party monitoring platform
- Advantages: Supports multi-cloud platforms, rich visualization
- Applicable scenarios: Multi-cloud environments, need for advanced visualization
3. Prometheus + Grafana
- Features: Open source monitoring solution
- Advantages: Flexible and customizable, controllable costs
- Applicable scenarios: Need for custom monitoring solutions
Candidates should be able to share log monitoring experience and best practices from actual projects.