Why Continuous Delivery for the Database Matters
Automating database deployments is an intimidating task as companies are releasing application updates with higher frequency. To meet this demand for increased performance, it is critical to focus on both application code and database code. Teams need to fill the gap in DevOps with Database continuous delivery. This involves improving processes and closing the DevOps feedback loop. Put simply, application teams need to create an end-to-end process that covers application and database development for efficient CD.
Today’s businesses are struggling to keep pace with consumer demand. Not so much the demand for goods and services, but demand for the ideal customer experience. Consumers want to interact with their favorite companies on their preferred platform. And if they don’t receive the experience they’re looking for, the competition is only a click away. Chances to capitalize on market opportunities appear to be dwindling. This is because of customer expectations, fierce competition, and rapid innovation.
In response, businesses increase the pressure on IT teams to step up. This demands that IT deliver products and services faster and more often. IT teams developed and now leverage practices like Agile Development, Continuous Delivery, and DevOps.
Teams and organizations are adopting database automation and application release automation tools to support these practices. Tools that aim to help IT deliver stable high-quality software faster. These include source control systems, continuous integration servers, automated testing infrastructure and more.
Continuous Delivery, as a philosophy, is gaining rapid adoption among today’s enterprises. It borrows lean manufacturing concepts and applies them to software creation and delivery. It coaches us to view the entire SDLC as one process and map it out to understand how value flows through the system. Once understood, Continuous Delivery offers clear advantages. It allows us to identify inefficiencies and leverage standardizing and automating workflows.
Standardizing a workflow makes it repeatable. Once a workflow is repeatable, it becomes a good candidate for automation. With automation, workflows become faster and human error decreases. Continuous Delivery aims to automate the process from development, test, and even production. By leveraging automation, a highly-efficient pipeline is achievable.
Continuous Delivery works. With correct implementation, IT organizations can deliver features faster and with fewer errors. Organizations can go to market quicker and reduce operating expenses. This gives businesses a competitive advantage.
This phenomenon is now causing a problem for the Database Team. They aim to provide a safe, high-performance environment for the company’s data. That mandate is being threatened by the speed of innovation in development. DBAs must sort how to maintain the pace of application release without hurting the data.
That is the challenge. That is why Continuous Delivery for the Database matters.
The 2018 State of DevOps Report noted databases are often a major source of risk and delay in application release cycles and teams that do well at continuous delivery store database changes as scripts in version control and manage these changes in the same way as production application changes.
See how Datical approaches Database Continuous Delivery. Download our white paper Database Continuous Delivery: Agile Database Best Practices.