Barriers to Database Deployment Automation and How to Overcome Them
Barriers to Database Deployment Automation and How to Overcome Them
Rapid fixes and changes are often needed within any organization's deployment pipeline, but these can be risky at any stage, especially for database changes.
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Dissimilar Database and Application Development Methods Pose Challenges to Database Deployment Automation
Developers are under increasing pressure to rapidly implement necessary changes to the database to rectify bugs and meet customer demands. This need for increased agility often leads developers to introduce changes directly to the QA environment in order to save time and ready changes for deployment more quickly.
But introducing changes directly to the QA environment is a risky practice, according to more than 80 percent of IT professionals surveyed in a recent study conducted by DBmaestro. Still, 43 percent say that they do introduce changes directly to the QA environment, despite knowing that this process could create changes later in the development pipeline.
Having no alignment between database changes and application code, from a source control perspective, is a problem that nearly all IT professionals (nearly 100% of respondents) associate with risk. Only 47 percent of IT professionals surveyed say that they have full alignment between database changes and application code.
That means more than half of respondents are faced with risks associated with this misalignment between database changes and their application code, which, if not fully in sync, can create serious problems, including application crashes that may cost hundreds of thousands of dollars to rectify.
There’s a simple solution to solve the problems associated with out-of-process changes. Database Lifecycle Management solutions that utilize a simple check-in, check-out process allow development teams to leverage a Single Source of Truth and prevent out-of-process changes, thus avoiding developers working in tandem introducing changes that may override or revert important changes introduced by another team or developer. Database Enforced Source Control solutions provide complete, trusted source control for both database objects and data and provides complete history tracking by merging development information and change history from several branches or servers to create a single, trusted source of control.
Chaos in Emergency Times Demands Rapid, but Precise Remedies
With today’s rapid development cycles and the need to be increasingly agile, introducing rapid changes and quick fixes to rectify errors, remediate bugs, and keep the pace of customer demand is commonplace in the database development world. It’s not all that surprising that many development teams are, at times, in a state of chaos. During these turbulent times, pressure is rising and often, urgent hot fixes are tested in pre-production.
More than 90 percent of IT professionals surveyed associate the practice of testing urgent hot-fixes in pre-production with risks, yet among them, 53 percent do just that. By leveraging a Database Merge and Build Automation solution combined with Database Release Automation, developers can take advantage of a highly effective database safety net that ensures safe migration to production.
Merge and Build Automation processes are designed to meet the needs of today’s IT professionals. These solutions can be so effective that organizations taking advantage of true automation capabilities can realize up to a 95 percent reduction in deployment costs, simply by speeding safe delivery while reducing time spent backtracking and fixing errors that many times aren’t discovered until it is too late.
Often, such issues aren’t obvious until the changes have been deployed, which can cost companies hundreds of thousands of dollars to rectify, not to mention application downtime that can damage customer satisfaction. By achieving Database Deployment Automation, you’ll break down the silos that exist between development and operations, enabling your organization to leverage the same continuous delivery best practices for your database that you’re already using for your applications.
The Biggest Barriers Standing in the Way of DevOps for Database Implementation Are Conquerable
Implementing DevOps for the database is the ideal goal for most development teams. But the path to achieving this goal is rife with obstacles. More than half (62%) of survey respondents say that unstructured processes prevent them from implementing DevOps for the database, while 42 percent say that budget constraints are a primary obstacle. Additionally, most organizations have a need for:
- Education and creating awareness of the benefits of DevOps for the database, such as the ability to bring database development in-sync with the continuous delivery processes already proven effective for application development.
- Analyzing current processes, risks, and pitfalls, which can then be presented to management to build a case for a DevOps for database solutions.
- Naming an executive sponsor, although executive-level support does exist when executives are made aware of the time savings and cost reductions possible through effective DevOps for the database.
While these challenges may seem insurmountable, the reality is that development teams face increasing pressure to build more efficiency into the development cycle, while simultaneously mitigating risks. When automation isn’t trustworthy, manual processes are used to reduce the risk of blindly automating processes without effective tools — yet these same manual processes slow down the development cycle and introduce risks of their own.
Only a complete Database Continuous Delivery solution, such as the one offered by DBmaestro, can effectively alleviate these concerns and bridge the silos between development and operations, providing the first opportunity for true Database Deployment Automation. Using a simple, yet highly effective set of solutions that leverage logic and intuitive workflows, facilitating continuous delivery for the database isn’t only achievable, but so effective that it results in dramatic reductions in development costs while simultaneously streamlining workflows and enhancing collaboration across developers, teams, and departments.
Published at DZone with permission of Yaniv Yehuda , DZone MVB. See the original article here.
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