Distributed Tracing captures the complete journey of every request as it flows through your microservices architecture. Flame graphs visualize the time spent in each service and function call. Service dependency maps show how services communicate in real time. Latency breakdowns pinpoint exactly where slowness occurs. SLA alerts notify you when endpoint performance violates your defined thresholds.
Flame graphs provide a hierarchical visualization of every span in a trace. The width of each bar represents the duration, making it immediately obvious where the bottleneck is. Hover over any span to see metadata: service name, operation, duration, status code, and custom tags. Click to drill into child spans or jump to the corresponding logs. Compare flame graphs side-by-side to understand performance regressions.
The service dependency map is generated directly from trace data, showing which services call which other services, how frequently, and with what latency. Edges are color-coded by health: green for normal latency, yellow for elevated, red for error rates above threshold. The map updates in real time so you can watch traffic patterns shift during deployments, load tests, or incidents.
The latency breakdown view decomposes end-to-end latency into per-service contributions. For any endpoint, you can see what percentage of total latency is spent in the API gateway, application logic, database queries, and external API calls. SLA alerts let you define latency and error rate thresholds per endpoint, with configurable notification channels and escalation policies.
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