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Product Management Root Cause Analysis Question: Investigating Docker Hub image pull failures
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Nextsprints

Updated Jan 22, 2025

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Asked at Docker

15 mins

What caused the sudden spike in failed Docker image pulls from Docker Hub last week?

Problem Solving Technical Analysis Data Interpretation Cloud Computing DevOps Software Development
Root Cause Analysis DevOps Cloud Services Infrastructure Docker

Introduction

The sudden spike in failed Docker image pulls from Docker Hub last week presents a critical issue that demands immediate attention and thorough analysis. As we delve into this problem, we'll employ a systematic approach to identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.

Our analysis will follow a structured framework, beginning with clarifying questions to establish context, followed by a comprehensive examination of potential causes, data analysis, and hypothesis formation. We'll then move into root cause analysis, validation steps, and finally, a robust resolution plan.

Framework overview

This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.

Step 1

Clarifying Questions (3 minutes)

  • I'm noticing the term "sudden spike." Would you say this increase occurred within a matter of hours or over several days?

Why it matters: The timeframe helps narrow down potential causes and urgency of response. Expected answer: Within 24 hours. Impact on approach: A rapid spike suggests a more acute, possibly technical issue rather than a gradual shift in user behavior.

  • Considering the scale, are we looking at a 10% increase in failed pulls or something more significant like 50% or higher?

Why it matters: The magnitude informs the severity and potential impact on users and systems. Expected answer: Around 30-40% increase. Impact on approach: A substantial increase would prioritize immediate mitigation strategies.

  • Has there been any correlation noticed between specific image types or sizes and the failed pulls?

Why it matters: This could point to issues with particular image configurations or storage systems. Expected answer: Larger images seem more affected. Impact on approach: Would focus investigation on storage and network capacity for larger files.

  • Were there any recent updates to Docker Hub or related infrastructure in the days leading up to this spike?

Why it matters: Recent changes are often culprits in sudden performance issues. Expected answer: A minor update was pushed 48 hours before the spike. Impact on approach: Would prioritize reviewing the recent update and its potential impacts.

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