Debug and mitigate a CPU spike incident

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Quick Overview

This question evaluates on-call incident response skills, focusing on production debugging, CPU spike mitigation, root-cause analysis, and verification in a microservice environment and is categorized under software engineering fundamentals.

Debug and mitigate a CPU spike incident

Company: Discord

Role: Software Engineer

Category: Software Engineering Fundamentals

Difficulty: medium

Interview Round: Onsite

## Production Debugging: CPU Spike Incident (Open-Ended) You are on-call for a backend service. An alert fires: **CPU usage suddenly spikes** on the service’s hosts/pods and stays high. You can ask for any information you want (dashboards, time series metrics, logs, traces, recent deploys, config changes). The interviewer will provide whatever graphs/logs you request. ### Tasks 1. **Immediate mitigation:** What do you do first to reduce user impact? 2. **Triage plan:** What key questions do you ask and what metrics/logs do you inspect? 3. **Root cause analysis:** Walk through how you narrow down hypotheses to a likely root cause. 4. **Fix + verification:** How do you validate the fix and prevent regression? Assume this is a typical microservice environment (Kubernetes or VM autoscaling, load balancer, centralized logging/metrics).

Overview: This question evaluates on-call incident response skills, focusing on production debugging, CPU spike mitigation, root-cause analysis, and verification in a microservice environment and is categorized under software engineering fundamentals.

Read the full Discord Software Engineer interview experience this question came from

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Oct 25, 2025
mediumSoftware EngineerOnsiteSoftware Engineering Fundamentals
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Production Debugging: CPU Spike Incident (Open-Ended)

You are on-call for a backend service. An alert fires: CPU usage suddenly spikes on the service’s hosts/pods and stays high.

You can ask for any information you want (dashboards, time series metrics, logs, traces, recent deploys, config changes). The interviewer will provide whatever graphs/logs you request.

Tasks

  1. Immediate mitigation: What do you do first to reduce user impact?
  2. Triage plan: What key questions do you ask and what metrics/logs do you inspect?
  3. Root cause analysis: Walk through how you narrow down hypotheses to a likely root cause.
  4. Fix + verification: How do you validate the fix and prevent regression?

Assume this is a typical microservice environment (Kubernetes or VM autoscaling, load balancer, centralized logging/metrics).

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