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What is the difference between monitoring and tracing in the context of DevOps?

sobes.tech AI

Answer from AI

Monitoring focuses on collecting metrics and the overall system health (CPU, memory, network traffic, HTTP errors) to understand its performance and availability. This is aggregated information.

Tracing (distributed request tracing) tracks the path of a single request or transaction through various services in a distributed system. It helps understand how the request is processed, identify bottlenecks, and errors in a specific interaction chain.

Characteristic Monitoring Tracing
Purpose System health and performance Request path, service interactions
Focus area The system as a whole Individual requests/transactions
Data Aggregated metrics, logs Detailed request spans
Examples of metrics/data CPU load, 5xx error count, throughput Processing time in each service, correlation ID
Problem identification Detecting system-wide issues Identifying specific service/stage causing the problem
Example tools Prometheus, Nagios, Zabbix Jaeger, Zipkin, OpenTelemetry

Thus, monitoring provides a "bird's-eye view," while tracing allows diving into the details of specific operations. They are complementary: monitoring can show where there is a problem, and tracing helps find out why and where exactly.