Definition
Distributed Tracing
Distributed tracing follows a single request as it travels across the many services that handle it, stitching each hop into one end-to-end timeline. Each unit of work is a span; spans share a trace ID and nest into a tree. Tracing reveals where time is spent and which service failed in a system too distributed to debug from logs alone.
Key takeaways
- Distributed tracing follows a single request as it travels across the many services that handle it, stitching each hop into one end-to-end timeline. Each unit of work is a span; spans share a trace ID and nest into a tree. Tracing reveals where time is spent and which service failed in a system too distributed to debug from logs alone.
- In a microservices or serverless architecture, one user action may touch a dozen services, queues, and databases.
- Planoda propagates trace context across its services and reports it to Sentry, so a slow or failed request can be inspected as one timeline rather than scattered, disconnected log lines.
In a microservices or serverless architecture, one user action may touch a dozen services, queues, and databases. A plain log line from any single service tells you nothing about the whole journey. Distributed tracing solves this by assigning every request a trace ID at the edge and propagating it through every downstream call, so each service's work can be reassembled into a single causal timeline.
The atomic unit is the span: a named, timed operation with a start, a duration, attributes, and a parent reference. Spans form a tree rooted at the inbound request, and the tree exposes the critical path — the chain of operations that actually determined total latency — versus work that ran in parallel and didn't matter.
Standardization matters here: OpenTelemetry has become the common vocabulary for emitting and propagating trace context, freeing teams from per-vendor instrumentation. The hard part in practice is context propagation across async boundaries — message queues, background jobs, retries — where the trace can break if the ID isn't carried forward deliberately.
Planoda propagates trace context across its services and reports it to Sentry, so a slow or failed request can be inspected as one timeline rather than scattered, disconnected log lines.
Related terms
- ObservabilityObservability is the degree to which you can understand a system's internal state from the data it emits — logs, metrics, and traces. A system is observable when you can answer new questions about its behavior without shipping new code, letting you debug unknown failures in production rather than only the ones you anticipated.
- TelemetryTelemetry is the automatic collection and transmission of data about how a system behaves — performance metrics, error events, usage signals, and traces — from where it runs to where it can be analyzed. It is the raw material of observability: without telemetry flowing out of a system, you cannot see inside it or reason about its health.
- Incident ManagementIncident management is the coordinated process of detecting, responding to, and resolving unplanned disruptions to a service, then restoring normal operation as fast as possible. It defines roles (incident commander, communications lead), severity levels, escalation paths, and a status-communication cadence, with the goal of minimizing impact and learning from every failure.
- Circuit BreakerA circuit breaker is a resilience pattern that stops an application from repeatedly calling a failing dependency. After errors cross a threshold, the breaker trips open and fails calls fast instead of waiting on timeouts, giving the struggling service room to recover. It periodically tries again, closing once the dependency is healthy — preventing one failure from cascading into a system-wide outage.
- Graceful DegradationGraceful degradation is designing a system so that when a component fails, the system continues operating with reduced functionality rather than collapsing entirely. A non-essential feature going down should produce a smaller, contained loss — a disabled widget or a cached fallback — not a total outage. It keeps the core experience available even as parts of the system fail.