We’ve written a ton of content about how to unlock the value of frequent deployments for your database as well as applications, from improved coding patterns to strategies for architecting smaller deployments. But the multi-million-dollar question for you and your business is something else entirely: what is the real business value of frequent deployments? That’s the question I’m going to address in this series of three posts.

Digital transformation seems to be on the to-do list of every organization at the moment. Alongside it, DevOps is one of those buzzwords that gets lumped in, with some vague intention of having things automated. If you’re championing a DevOps implementation in your organization, or wish to see where your current processes measure up against your peers, read on.

Database DevOps has come of age. Now seen as a key technical practice which can contribute to the successful implementation of DevOps, it stops the database being a bottleneck and makes releases faster and easier. Conversely, perhaps, the automation and audit trails it introduces can help to protect personal data within databases and make compliance part of the same process rather than an additional time-consuming step outside it.