Filling the Data Gap in DevOps with Database Continuous Delivery
Going no where fast.
While many IT teams have been successful in automating many of the manual processes in modern software development, the same has not held true for the data underpinning the system. Provisioning, versioning, and aligning data to database code is still a largely a manual process today that adds considerable friction to application projects, slowing the pace of innovation.
As companies have adopted faster development methodologies a new constraint has emerged in the journey to digital transformation: data. Data has long been the neglected discipline, the weakest link in the tool chain, with provisioning times still counted in days, weeks, or even months. In addition, most companies—even those are using the latest DevOps automation tools—are still managing and deploying database changes manually, further anchoring development teams. Put differently, most organizations attempt to support modern, agile development environments with half-century-old database and data management processes and procedures—a result that can be likened to mounting a modern Ferrari on Model T tires. It’s a great way to get nowhere fast.
It’s time to focus on the database
Keeping both data and database schema changes up-to-date with application releases has always been a challenging task. In an environment where speed counts every day, it is no longer adequate to add more people and infrastructure to solve these challenges. There is a pressing and increasing need for a mechanism to bring the same agile methods and DevOps tooling to the database to deliver high-fidelity, usable data in a fast and repeatable manner.
It’s time focus automation on the data and the database and enable database continuous delivery. The ability to quickly provision, refresh and tear down environments—automating both the management of both data and database code—is a fast, simple, and non-disruptive way to pave the way for not only DevOps, but more broadly, digital transformation. By taking a data-first strategy, companies can break the log-jam in development, enabling teams to achieve faster time-to-market.
In parallel, database releases should be automated and managed by development teams the same way application code is managed. This will transform schema management into a consistent, repeatable database continuous delivery process that is more routine and less risky.
Two is usually better than one
Sometimes a providential pairing delivers outstanding benefits. That certainly happened when Harry Reese first tinkered with combining chocolate and peanut butter in the 1920s. And it happened again with combination of solutions from Datical and Delphix.
Delphix plus Datical unlocks the full potential of DevOps and enables database continuous delivery. Delphix makes it easy to create instant masked and unmasked copies of data from a data time machine, and Datical enables the seamless integration of schema changes across those data copies.
Datical and Delphix can be combined to accelerate data delivery and automate database releases, increasing the speed and quality of the total build environment process. By further providing self-service controls through a continuous integration layer with tools such as Jenkins, Delphix and Datical can enable developers to version both their data and their database schema changes like code—alongside application changes—which means more autonomy, less dependence on infrastructure teams, and faster releases.
Fill the Data Gap
There are many reasons to address the automation of data and database schema management. For organizations taking a DevOps approach and considering continuous integration and delivery, it is crucial to fill the data gap. Even for companies that are new to DevOps, it can be advantageous to start with data. Changing how developers code, manage builds, perform migrations and deploy code can create great value, but not without the initial hurdle of fundamentally changing an existing process. Solving for data and database schema management with Delphix and Datical is the opposite. By partnering with the Datical and Delphix, IT teams can transform a highly-manual process and unlock immediate value without the disruption, paving the way for DevOps and digital transformation.
To learn more read our white paper, Filling the Data Gap in DevOps.