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Troubleshoot a production incident end-to-end

Last updated: Mar 29, 2026

Quick Overview

This question evaluates a candidate's incident response and operational troubleshooting skills, including observability-driven root-cause analysis, dependency isolation, and mitigation decision-making in a microservices transfer flow.

  • hard
  • Instacart
  • System Design
  • Software Engineer

Troubleshoot a production incident end-to-end

Company: Instacart

Role: Software Engineer

Category: System Design

Difficulty: hard

Interview Round: Onsite

You are on call for a microservices-based banking platform and users report intermittent failures and elevated latency on transfers starting at a specific time. Walk through your troubleshooting approach end-to-end: which dashboards, metrics, logs, and traces you would inspect first; how you would form and test hypotheses; how you would isolate whether the issue is in the client, network, service, database, or external dependency; what short-term mitigations you would apply safely; and how you would verify the fix and drive postmortem actions to prevent recurrence.

Quick Answer: This question evaluates a candidate's incident response and operational troubleshooting skills, including observability-driven root-cause analysis, dependency isolation, and mitigation decision-making in a microservices transfer flow.

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Instacart logo
Instacart
Aug 1, 2025, 12:00 AM
Software Engineer
Onsite
System Design
7
0

Incident Troubleshooting: Intermittent Failures and Elevated Latency in Transfers

Context

A microservices-based banking platform begins experiencing intermittent failures and elevated latency for transfer operations starting at a specific time. Assume you have standard observability and deployment tooling (dashboards for metrics, logs, tracing; feature flags; canary/rollback; cloud infrastructure; message queues) and that transfer requests flow through an API gateway to service(s) that interact with a database and at least one external payment partner.

Task

Describe your end-to-end troubleshooting approach:

  1. Which dashboards, metrics, logs, and traces you would inspect first, and why.
  2. How you would form and test hypotheses to pinpoint the cause.
  3. How you would isolate whether the issue is in the client, network/edge, service/application, database, message queue, or an external dependency.
  4. What short-term, safe mitigations you would apply to limit user impact while investigating.
  5. How you would verify the fix and execute postmortem actions to prevent recurrence.

Solution

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