Introduction
The recent 30% drop in Panther's log ingestion rate for AWS CloudTrail logs is a critical issue that demands immediate attention. This analysis will systematically investigate the root cause, considering technical, user behavior, and external factors. We'll follow a structured approach to identify, validate, and address the underlying issues while balancing short-term fixes with long-term solutions.
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 minor update to CloudTrail API. Impact on approach: If confirmed, we'd focus on the update's impact on log ingestion.
Why it matters: Changes in log generation could explain ingestion rate drops. Expected answer: Log volume has remained consistent. Impact on approach: If true, we'd shift focus to Panther's ingestion process rather than source data.
Why it matters: Infrastructure changes can significantly impact performance. Expected answer: No major changes, but there was a routine scaling policy adjustment. Impact on approach: We'd investigate how the policy adjustment might have affected ingestion capacity.
Why it matters: External service issues could explain the ingestion rate drop. Expected answer: No major AWS incidents reported. Impact on approach: If confirmed, we'd focus more on internal factors and Panther's systems.
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