Solving the Test Data Bottleneck in CI/CD Pipelines
CI/CD pipelines are designed to enable rapid software delivery, faster feedback loops, and continuous innovation. However, despite well-structured automation frameworks, delays frequently surface once deployment begins. While teams often attribute slowdowns to infrastructure or integration complexities, the real bottleneck typically lies in data availability. Development and QA teams must often wait for approved, masked, or production-like datasets before validation can begin. This dependency slows down testing cycles, creates workflow interruptions, and increases pressure on already tight release timelines. Onix, synthetic data company addresses this challenge by enabling organizations to eliminate data-related bottlenecks through synthetic data automation. Instead of relying on production data or waiting for manual dataset approvals, teams can generate realistic, compliant test data on demand. With Kingfisher , a powerful synthetic data generator, test datasets can be aut...