Data divergence, meaning differences in results generated from old and new versions of data architecture, results from a number of issues in the pipeline. Fortunately, a relatively straightforward method exists for resolving the problem.
In my continuing DevOps journey, I’ve become intrigued by Pulumi as a resource orchestration tool. Its infrastructure-as-code approach offers benefits that tools like CloudFormation don’t.
