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Product Management Root Cause Analysis Question: Investigating sudden increase in Google Cloud Storage read latency

Asked at Google

15 mins

Why has Google Cloud storage read latency increased by 200%?

Technical Analysis Problem-Solving Data Interpretation Cloud Computing Enterprise Software Data Management
Performance Optimization Root Cause Analysis Cloud Infrastructure Google Cloud Data Storage

Introduction

The sudden 200% increase in Google Cloud storage read latency is a critical issue that demands immediate attention and a thorough root cause analysis. This significant performance degradation could severely impact user experience, application functionality, and overall system reliability. I'll approach this problem systematically, considering various factors that could contribute to such a drastic latency increase.

Framework overview

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

Step 1

Clarifying Questions (3 minutes)

  • Looking at the magnitude of the increase, I'm thinking this might be a recent and sudden change. Has this 200% increase occurred within the last 24-48 hours, or has it been a gradual increase over time?

Why it matters: The timeline helps determine if this is an acute issue or a chronic problem. Expected answer: It's a sudden increase within the last 24 hours. Impact on approach: A sudden increase would point towards a recent change or event, while a gradual increase might suggest a scaling or capacity issue.

  • Considering the complexity of cloud storage systems, I'm wondering if this latency increase is uniform across all types of read operations. Are we seeing this 200% increase consistently across all read operations, or is it more pronounced in specific scenarios (e.g., large file reads, frequent small reads)?

Why it matters: This helps isolate the problem to specific components or use cases. Expected answer: The increase is more pronounced for large file reads. Impact on approach: If it's specific to certain operations, we'd focus on those particular components or data access patterns.

  • Given that cloud services often have multiple geographical regions, I'm curious about the scope of this issue. Is this latency increase observed across all regions, or is it limited to specific geographical areas?

Why it matters: This information helps determine if it's a global infrastructure issue or localized to certain data centers. Expected answer: The issue is primarily affecting two specific regions. Impact on approach: If it's region-specific, we'd investigate regional infrastructure or network issues.

  • Considering recent product updates, I'm thinking there might have been a recent deployment or configuration change. Have there been any significant updates, patches, or configuration changes to the Google Cloud storage system in the past week?

Why it matters: Recent changes are often the culprit in sudden performance degradations. Expected answer: There was a minor security patch applied 48 hours ago. Impact on approach: This would lead us to investigate the impact of the recent patch on read operations.

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