What factors are causing the increased error rates in AVEVA's PI System data collection modules this month?

Introduction

The increased error rates in AVEVA's PI System data collection modules this month present a critical issue that requires immediate attention and a systematic approach to resolution. As we delve into this product root cause analysis, we'll employ a structured framework to identify, validate, and address the underlying factors contributing to this performance degradation.

Our approach will involve a thorough examination of both internal and external factors, data analysis, and hypothesis generation. We'll prioritize swift action while also considering long-term implications for the PI System and AVEVA's broader product ecosystem.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be a recent change in the system. Has there been any significant update or deployment to the PI System in the past month?

Why it matters: Recent changes often correlate with performance issues. Expected answer: Yes, there was a minor update. Impact on approach: If yes, we'd focus on regression testing and rollback considerations.

• Considering the nature of data collection, I'm wondering about the scale. Has there been any sudden increase in data volume or new data sources added recently?

Why it matters: Increased load can strain system resources and lead to errors. Expected answer: Data volume has been steadily increasing. Impact on approach: If yes, we'd look into scaling solutions and performance optimization.

• Given the specificity of "data collection modules," I'm curious about the error distribution. Are these errors concentrated in specific modules or spread across all?

Why it matters: Localized issues suggest module-specific problems, while widespread issues indicate systemic concerns. Expected answer: Errors are primarily in two modules. Impact on approach: Focused investigation on affected modules if localized, or system-wide analysis if widespread.

• Thinking about external factors, have there been any changes in the network infrastructure or third-party integrations used by the PI System?

Why it matters: External dependencies can significantly impact system performance. Expected answer: No major changes reported. Impact on approach: If yes, we'd coordinate with network teams or third-party providers for joint troubleshooting.