Cloudflare's recent outage highlighted significant flaws in their root cause analysis. The issue stemmed from a database query that lacked proper filtering, allowing unintended data duplication. Specifically, a query meant to retrieve metadata from the “http_requests_features” table inadvertently included metadata from the r0 database, due to changes in user permissions. This oversight caused a cascade of errors across Cloudflare's core systems, leading to a crash loop. The application code couldn't handle the unexpected data, which resulted in widespread service disruption. Cloudflare's proposed solutions focus on hardening their systems, such as tightening the ingestion of configuration files and implementing more global kill switches. However, these measures might not address the deeper issues. The problem lies in how they perceive logical vs. physical failures. While they have eliminated single points of failure at the physical level, they still face logical vulnerabilities due to the interaction between application logic and database schema. The author argues that this disconnect is a common pattern in tech outages and suggests that Cloudflare needs to rethink its approach. To prevent future outages, the article advocates for stricter database design principles, such as eliminating nullable fields and ensuring full normalization. These practices aim to enforce logical consistency and correctness, which are often overlooked in favor of speed or efficiency. Formal verification of application code is also recommended to catch issues before they escalate. Without adopting these foundational changes, Cloudflare risks repeating the same mistakes, leaving their systems vulnerable to similar failures in the future.