The traditional approach to software deployment was the "big bang" method, where new versions were shipped infrequently, often every two to three years. This led to high stakes and risks, as even small bugs could cost millions. Today, with continuous improvement and integration testing, deployments can be made more frequently, but this also introduces its own set of problems. The goal is to find the "Goldilocks Gauge" - a pace and size of deployment that is just right, keeping the engineering team in flow, with minimal cognitive load and complexity. This requires breaking down code into smaller pieces, making teams smaller, and increasing the velocity of innovation. By finding this sweet spot, companies can increase productivity, reduce downtime, and get new code and features to users faster, while eliminating fear of deployment.