Database consistency models and isolation levels are crucial concepts in ensuring the security, performance, and correctness of data transactions, yet they are often overlooked by developers. This article highlights a webinar discussion featuring Cockroach Labs' solutions engineers, Tim Veil and John Sheaffer, who admit that even experienced developers may neglect these aspects due to their complexity and the assumption that if a database is operational, isolation levels are irrelevant. The discussion emphasizes the importance of understanding ACID transactions—atomicity, consistency, isolation, and durability—and how they guarantee reliable data transactions despite potential errors. However, while atomicity, isolation, and durability are straightforward, consistency is more complex and involves various models that developers must understand. Isolation levels, such as serializability, read committed, read uncommitted, and repeatable reads, dictate how transactions interact and the anomalies that may arise, with implications for data integrity. Research has shown that weak isolation can lead to real-world bugs, underscoring the importance of choosing appropriate isolation levels for applications, as exemplified by CockroachDB's model that balances serializability and linearizability.