Wide World of Workflows: control

The text discusses advanced techniques for controlling workflows in job orchestration, specifically through the use of branch and tag filtering and approval options. It explains that filtering helps deploy or run tests selectively, based on defined criteria, to avoid unnecessary builds—particularly useful for managing large repositories or deploying from specific branches. The article provides examples from companies like DataDog, Google Cloud, Aeternity, and Azure, illustrating various implementations of these techniques. DataDog uses tags to manage release versions, Google Cloud employs regular expressions for tag matching, Aeternity schedules jobs at specific times to optimize resources, and Azure uses manual approval for jobs, especially in resource-intensive environments. These strategies help optimize workflow efficiency and resource allocation while maintaining precise control over job execution.