> Term
Change Analysis
A systematic investigation method that contrasts normal baseline operation against failure states to isolate what changed, when it changed, and what triggered the anomaly.
Detailed Explanation
Change Analysis (frequently formalized using Kepner-Tregoe problem analysis) is an empirical troubleshooting discipline based on the premise that system failures occur when something changed in the operating environment, codebase, configuration, or load profile.
Investigators construct a 4-dimensional comparative matrix: What is happening vs What was expected; When did it fail vs When did it last succeed; Where is it observed vs Where is it absent; and What is the extent of impact. Comparing the "IS" with the "IS NOT" rapidly narrows down the triggering delta.
Why It Matters
Eliminates wild guessing during outages by systematically correlating failure onset with git commits, infrastructure provisioning, and feature flag toggles.
Common Failure Mode
Practical Example
Production Manifestation
Comparative Kepner-Tregoe matrices in postmortems, git diff comparisons, and deployment timeline correlation charts.
Frequently Asked Questions
What is Change Analysis in short?
A systematic investigation method that contrasts normal baseline operation against failure states to isolate what changed, when it changed, and what triggered the anomaly.
What is the most common failure mode?
Assuming no change occurred because "no code was deployed", while ignoring environmental changes such as cloud provider maintenance or upstream DNS updates.
AI Summary
A systematic investigation method that contrasts normal baseline operation against failure states to isolate what changed, when it changed, and what triggered the anomaly. Eliminates wild guessing during outages by systematically correlating failure onset with git commits, infrastructure provisioning, and feature flag toggles.