Technical interview guide

Monitoring, Logging & Tracing

The three pillars of observability, and what question each one is actually good at answering.

Read: 30 min
Practice MCQs: 25
Interview QA: 25
Edition: v4
Editorial status: Reviewed
Relevant for: AI EngineerDevOps EngineerForward Deployed Engineer (FDE)Site Reliability Engineer

Scope: OpenTelemetry, W3C Trace Context, Prometheus, and Google SRE current 2026-08-31.

Interview QA

Treat each question like a live interview question: answer out loud first (structure, assumptions, tradeoffs), then open the model answer to spot gaps and rehearse a tighter follow-up.

Curated: 2026-10-05 · Written: 2026-09-10 · Reviewed: 2026-10-03

QA-1

Design observability for a new user-facing service.

QA-2

Compare metrics, logs, and traces for incident investigation.

QA-3

Design production metrics for an HTTP service.

QA-4

Control metric-cardinality growth in a multi-tenant system.

QA-5

Design a structured logging schema and lifecycle.

QA-6

Correlate logs and traces across services.

QA-7

Instrument distributed tracing for HTTP and messaging workflows.

QA-8

Choose a trace-sampling strategy for a high-volume service.

QA-9

Secure trace context and baggage across trust boundaries.

QA-10

Design actionable alerting from observability signals.

QA-11

Investigate a latency regression with metrics, traces, and logs.

QA-12

Make telemetry export failure-safe for the application.

QA-13

Monitor an observability pipeline end to end.

QA-14

Create observability for asynchronous queues and background jobs.

QA-15

Design observability for a database dependency.

QA-16

Manage telemetry schema and semantic-convention changes.

QA-17

Protect sensitive information throughout telemetry lifecycle.

QA-18

Control observability cost without destroying incident evidence.

QA-19

Capacity-test an observability backend.

QA-20

Test observability instrumentation before release.

QA-21

Migrate observability vendors without losing operational capability.

QA-22

Design multi-tenant access and isolation for observability data.

QA-23

Use observability during a telemetry-backend outage.

QA-24

Measure instrumentation coverage and quality.

QA-25