Summary
In this chapter, we have learned a lot about how to interpret monitoring data in microservices in Node.js using several principles and tools.
Interpreting monitoring data in microservices involves analyzing metrics, logs, and traces collected from various services to gain insights into the health, performance, and behavior of the system. Here are key aspects to consider when interpreting monitoring data in a microservices architecture:
- Metrics analysis:
- Response times: Analyze response time metrics to understand the latency of services. Identify any spikes or deviations from the baseline.
- Throughput: Monitor the throughput of services to ensure they are handling the expected load. Sudden drops may indicate issues.
- Error rates: Track error rates to identify services experiencing issues. Focus on services with abnormal error rates.
- Logs analysis:
- Error logs: Investigate error logs for details about specific errors. Look for patterns or recurring issues that may need...
