Important Microsertvice Metrics

1. Latency

• Average response time
• 95th and 99th percentile response times
• Dependency latency
• Establish acceptable latency ranges for different services

2. Throughput

• Number of successful requests processed per unit of time
• Requests per second
• Transactions per second

3. Error rates

• Percentage of failed requests
• Exception rates
• Dependency failure rates
• HTTP error codes (4xx and 5xx)

4. Resource utilization

• CPU and Memory Utilization
• Disk I/O and network I/O

5. Service availability and uptime

• Service uptime percentage
• Downtime incidents
• Health check status

6. Request tracing and dependency mapping

• Dependency Metrics
• Trace ID propagation
• Service dependency graphs
• Slow request paths
• Queue length, database query latency, or API call response time
• Inter-Service Communication

7. Network Metrics

• Network Traffic
• Network latency
• Bandwidth usage
• Network error rates

8. Container and orchestration metrics

• Container CPU and memory limits
• Pod restarts
• Node resource utilization
• Deployment frequency
• Rollback occurrences
• Deployment failure rates

9. Business KPIs

• Link operational metrics to business outcomes

Best Practices

• Define clear Service Level Objectives and Agreements for performance and reliability targets
• Centralised Logging and Metrics
• Using Distributed Tracing
• Set Up Alerts and Notifications
• Automate Monitoring Processes
• Continuous Review and Optimization

Reference

• Essential metrics for robust microservices performance monitoring
• Mastering Microservices Monitoring
• Key Metrics to Monitor in a Microservices Application