Distributed Tracing and Events
Round out your observability toolkit with distributed tracing for request flows and Kubernetes Events for cluster-level signals.
Distributed Tracing and Events is a free DevOps Bootcamp lesson on CoddyKit — lesson 4 of 4. You can read the complete lesson below for free — then practise it hands-on in the browser with a built-in code editor and a 24/7 AI tutor. It is part of the DevOps Bootcamp learning path, one of 4 lessons in the course, and your progress syncs across the web and the CoddyKit app.
The Three Pillars of Observability
Observability rests on three pillars: logs, metrics, and traces. You have seen logs and metrics; this lesson adds tracing, plus Kubernetes Events.
What Is Distributed Tracing?
Distributed tracing follows a single request as it travels across multiple services. It shows where time is spent and which service caused an error.
Spans and Traces
A trace is the full journey of a request. Each step is a span with a start time, duration, and metadata. Spans nest to form a tree.
# A trace for one checkout request
# trace_id: abc123
# span: api-gateway (40ms)
# span: order-service (25ms)
# span: db-query (15ms)
# span: payment-service (10ms)Context Propagation
For tracing to work, services pass a trace context in request headers so each hop links to the same trace.
# W3C Trace Context header
traceparent: 00-abc123def456-00f067aa0ba902b7-01OpenTelemetry
OpenTelemetry (OTel) is the standard for instrumenting apps and exporting traces. An OTel Collector can run in the cluster to receive and forward spans.
Tracing Backends
Spans are sent to a backend like Jaeger or Tempo, which stores and visualizes traces so you can drill into slow requests.
# deploy a collector that exports to Jaeger
kubectl get pods -n observability -l app=otel-collectorKubernetes Events
Separate from app traces, Kubernetes emits Events describing what the cluster is doing: scheduling, pulling images, failing probes, and more.
kubectl get events --sort-by=.lastTimestampReading Events for a Resource
kubectl describe shows the Events tied to a specific object, which is often the fastest way to see why a Pod is stuck.
kubectl describe pod my-app
# Events:
# Warning FailedScheduling no nodes available
# Normal Scheduled assigned to node-2
# Warning BackOff restarting failed containerEvents Are Short-Lived
Events expire after about an hour by default. For long-term cluster history, export them to a logging or events backend so you do not lose the signal.
Correlating Signals
The real power comes from correlating all sources: a spike in a metric leads you to a trace, the trace points to a service, and its logs plus Events explain the root cause.
When to Reach for Tracing
- A request is slow but you do not know which service is to blame
- Errors appear deep in a chain of microservices
- You need to understand cross-service dependencies
Quick Check
Test your tracing knowledge.
Recap
You added the third observability pillar: distributed tracing follows requests across services using spans and context propagation, often via OpenTelemetry into Jaeger or Tempo. You also learned to read short-lived Kubernetes Events for cluster-level diagnostics, and to correlate logs, metrics, traces, and events together.
Frequently asked questions
Is the “Distributed Tracing and Events” lesson free?
Yes — the full text of “Distributed Tracing and Events” is free to read here on the web, and the DevOps Bootcamp course includes 4 lessons in total. To practise it interactively (a built-in code editor and a 24/7 AI tutor) and unlock the rest of the DevOps Bootcamp course, upgrade to CoddyKit PRO.
What will I learn in “Distributed Tracing and Events”?
Round out your observability toolkit with distributed tracing for request flows and Kubernetes Events for cluster-level signals. You practise DevOps Bootcamp with hands-on code you run directly in the browser, and a 24/7 AI tutor answers your questions as you work through the lesson.
Do I need any experience to start DevOps Bootcamp?
No prior experience is required. DevOps Bootcamp on CoddyKit is structured for beginners through advanced learners; this is — lesson 4 of 4, so you can start here or from the beginning and move at your own pace.
How long does the “Distributed Tracing and Events” lesson take?
Most CoddyKit lessons take about 5–10 minutes. Each one is bite-sized and interactive, so you make steady progress and pick up exactly where you left off across the web and the app.
Can I write and run code in this DevOps Bootcamp lesson?
Yes. Every DevOps Bootcamp lesson includes a built-in code editor, so you write and run real code right in your browser and get instant AI feedback — no local setup required.
All lessons in this course
- Logging with kubectl logs
- Metrics with Prometheus & Grafana
- Health Checks: Liveness & Readiness Probes
- Distributed Tracing and Events