Many tech organizations have advanced deployment mechanisms but tend to ship changes in bulk due to validation issues. The inability to trust individual changes limits the potential benefits of microservices and efficient deployment processes.
Tech teams commonly showcase their sophisticated deployment methods, such as progressive rollouts and feature flags. They highlight capabilities like one-command rollbacks and a decade's worth of investment in delivery tooling.
Despite these tools, many teams do not deploy changes individually. Instead, they merge multiple changes into a shared branch, waiting for a release manager to oversee batch rollouts. This practice raises risks of unforeseen interactions between changes.
The central issue is not the ability to deploy changes but rather to validate them. While the mechanical aspect of deploying a single change can be managed, the challenge lies in establishing confidence in that change's behavior independently of the complete system.
Organizations often lack the capacity to trust individual changes, resulting in a preference for bulk shipping. A reliance on a 'release train' system indicates insufficient confidence in isolated changes, suggesting a need for improvement in validation processes.
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Many tech organizations have advanced deployment mechanisms but tend to ship changes in bulk due to validation issues. The inability to trust individual changes limits the potential benefits of microservices and efficient deployment processes.