Debug and mitigate a CPU spike incident

Read the full interview experience this question came from →

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

Discord logo
Discord
Oct 25, 2025
mediumSoftware EngineerOnsiteSoftware Engineering Fundamentals
43
0

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).