Introduction
Increased error rates in Pegasystems's Pega Robotic Process Automation (RPA) deployments this month present a critical challenge that demands immediate attention. As we delve into this issue, 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.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Recent changes often correlate with performance issues. Expected answer: Yes, there was a recent update to the deployment pipeline. Impact on approach: If confirmed, we'd focus on rollback options and thorough testing of the new pipeline.
Why it matters: Helps narrow down if it's a global issue or specific to certain use cases. Expected answer: The issue is more prevalent in large-scale deployments. Impact on approach: We'd prioritize investigating scalability issues and large deployment configurations.
Why it matters: Identifies if it's a systemic issue or related to a specific functionality. Expected answer: There's an increase in timeout errors during process execution. Impact on approach: We'd focus on performance optimization and resource allocation.
Why it matters: External system changes can impact RPA performance. Expected answer: Some clients have recently upgraded their ERP systems. Impact on approach: We'd investigate compatibility issues and potential updates needed in our RPA scripts.
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