The article discusses an approach to safely introduce new pricing rules in software applications without causing operational issues or negatively impacting users. This is achieved through a combination of health checks, metrics, and logging. Here's a summary of the key points:
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Health Check: A simple endpoint (
/healthz) that returns200 OKif the service is available. This ensures basic availability without invoking complex logic. -
Metrics Collection: Metrics are collected to observe how the new pricing rules perform in terms of latency and outcome (accepted or rejected quotes). The metrics help understand the impact of the new rules on system performance and decision-making accuracy.
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Logging: Detailed logs capture information about each request, including whether a quote is accepted or rejected, the revision of the rule used, and the duration of processing. This helps in diagnosing issues if they arise during testing.
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Testing Strategy:
- Run known fixtures through both the old and new rules to ensure expected behavior.
- Enable the new rules for a controlled cohort and compare metrics and logs between revisions.
- If any issue is detected, such as crossing release bounds or unexpected behavior, hold or disable the flag and investigate further.
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**Limit
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