 We bring together teams of specialists to build end-to-end workflow patterns. But even then, once a pattern is created, tested, promoted to production, it's still not repeatable. Each organization must start the process over. There's no consistency from one architecture to the next, and the patterns are not shared. So what we really need is a simplified, repeatable, tested way to create and deploy distributed architectures while maintaining the life cycle of the deployment. Red Hat is leading an initiative to do just that. Validated patterns are being created based on data engineering patterns that Red Hat's portfolio architecture team and others have been developing for customer use cases over the years. Best practices and a deep understanding of how organizations are actually running patterns in their environments are the basis for validated patterns. Then, by using CI CD tools, Red Hat's able to operationalize these distributed architectures. Blueprints are built into code, so parts of the solution are built together, deployed together, and maintained together. This also allows us to create a framework that makes it easier to create new patterns. And since the pattern is now reproducible, it can be scaled as required, both within a core data center or public cloud, and out to multiple edge locations. It can be repeated for other organizations modified for differentiation and extended for different workloads and use cases. And since these architectures are based on actual workflows, operationalizing the code allows us to accelerate a project from proof of concept to an actual production-ready deployment.