Filling the Data Gap in DevOps with Database Continuous Delivery
Going nowhere fast.
Many IT teams have successfully automated many manual processes in 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 manual process. It adds considerable friction to application projects, slowing the pace of innovation.
As companies adoption application release automation, digital transformation is constrained by data. Data is oftentimes neglected and the weakest link in the toolchain. This is why leveraging continuous delivery database matters. Even now, database provisioning times are still counted in days, weeks or even months. Most companies – even those with the latest DevOps tools- still manage and deploy DB changes manually. This only serves to anchor and delay development teams. In other words, most organizations aim to move to agile dev environments. However, they want to achieve this with old data management processes and procedures. The result is like mounting a modern Ferrari on wagon wheels. It is a great way to get nowhere fast. There are several advantages to creating a continuous delivery database. One of them being a faster, streamlined integration, delivery and deployment pipeline.
It’s time to focus on the database
Keeping data and database schema changes current with application releases is a challenging task. It is no longer adequate to add more people and infrastructure to solve these challenges. There is an increasing need to bring the agile methods and DevOps database automation tools to the database, allowing teams to get access to 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.
It is important to be able to provision, refresh and tear down environments as fast as possible. This provides a quick, simple, and non-disruptive way to pave the way for DevOps and digital transformation. By taking a data-first strategy, companies can break the log-jam in development. With this approach, companies can achieve faster time-to-market.
In parallel, database releases should be automated and managed by development teams in the same way the application code is managed. This will transform schema management into a reliable database continuous delivery process.
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 a combination of solutions from Datical and Delphix.
Delphix plus Datical unlocks the full potential of DevOps. Leveraging both solutions enables database continuous delivery.
Delphix simplifies the creation of masked and unmasked copies of data. Datical enables the seamless integration of schema changes across those data copies.
Using Datical and Delphix allows for acceleration of data delivery, as well as the automation of database releases, increasing the speed and quality of the total build environment process. Delphix and Datical provide self-service controls through a continuous integration layer. This enables developers to use tools, such as Jenkins, to version data and database schema changes like code. Meaning, there is 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 considering continuous integration and delivery, it is crucial to fill the data gap. Even for companies that are new to DevOps, it can be beneficial to start with data. Changing how developers code and deploy, manage builds, and perform migrations is profitable. However, there is the initial hurdle of changing an existing process. Solving for data and database schema management with Delphix and Datical is the opposite. IT teams can transform a highly-manual process without disruption, unlocking immediate value.
Learn more about DevOps databases. Read our white paper: Filling the Data Gap in DevOps.