Introduction
The sudden spike in failed builds on CloudBees CI/CD pipelines across multiple customer accounts yesterday is a critical issue that demands immediate attention and thorough analysis. As we delve into this problem, we'll follow a systematic approach to identify the root cause, validate our hypotheses, and develop both short-term fixes and long-term solutions.
Our analysis will cover the entire spectrum of potential causes, from technical glitches to user behavior changes, ensuring we leave no stone unturned. We'll prioritize data-driven decision-making and consider the broader implications for our product ecosystem and customer satisfaction.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: This helps determine if it's a global system issue or a more localized problem. Expected answer: Affected accounts span multiple regions and account types. Impact on approach: If global, we'd focus on core infrastructure; if localized, we'd investigate regional or account-specific factors.
Why it matters: Recent changes are often culprits in sudden performance shifts. Expected answer: A minor update was deployed 12 hours before the incident. Impact on approach: If confirmed, we'd prioritize investigating the recent deployment for potential issues.
Why it matters: Pinpointing the failing stage narrows down potential root causes. Expected answer: Failures are predominantly occurring during the testing phase. Impact on approach: We'd focus our investigation on test environment issues or test script problems.
Why it matters: External dependencies can cause cascading failures in CI/CD systems. Expected answer: No major outages reported, but some latency issues with a popular artifact repository. Impact on approach: We'd investigate how external service performance impacts our pipeline stability.
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