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Product Management Root Cause Analysis Question: Investigating increased error rates in Informatica Cloud data integration jobs
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Nextsprints

Updated Jan 22, 2025

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What factors are contributing to the increased error rates in Informatica Cloud data integration jobs over the last month?

Problem-Solving Data Analysis Technical Troubleshooting Cloud Services Data Management Enterprise Software
Performance Optimization Root Cause Analysis Cloud Computing Data Integration Informatica

Introduction

Increased error rates in Informatica Cloud data integration jobs over the last month present a critical challenge that requires immediate attention. This issue not only impacts data reliability but also affects downstream processes and potentially business decisions. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term fixes and long-term solutions.

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 timing, I'm thinking there might be a recent change in the system. Has there been any significant update or modification to the Informatica Cloud environment in the past 1-2 months?

Why it matters: Recent changes often correlate with performance issues. Expected answer: Yes, there was a major version upgrade. Impact on approach: If confirmed, I'd focus on post-upgrade issues and compatibility.

  • Considering the nature of data integration, I'm curious about data volume trends. Have you noticed any significant increase in data volume or complexity being processed by these jobs recently?

Why it matters: Increased load could strain system resources. Expected answer: Data volume has grown by 20% month-over-month. Impact on approach: I'd investigate scalability and resource allocation.

  • Given the specificity of "error rates," I'm wondering about the error types. What are the most common error messages or codes you're seeing in these failed jobs?

Why it matters: Different error types point to different root causes. Expected answer: Mostly timeout errors and connection failures. Impact on approach: I'd focus on network issues and job execution limits.

  • Thinking about the broader ecosystem, have there been any changes in the source or target systems that these Informatica jobs interact with?

Why it matters: External system changes can disrupt integrations. Expected answer: A major source system underwent an API change. Impact on approach: I'd investigate compatibility issues with external systems.

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