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Why You Should Adopt CI for the Database (and How to Do It)

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Why You Should Adopt CI for the Database (and How to Do It)

In an article where DevOps meets the database, see how you can optimize your data storage with some best practices for continuous integration.

· Database Zone
Free Resource

Traditional relational databases weren’t designed for today’s customers. Learn about the world’s first NoSQL Engagement Database purpose-built for the new era of customer experience.

Data delivery can be risky. Mistakes can be time-consuming and costly to fix. Refining Database Lifecyle Management techniques can ease the process of development, release, maintenance, and deployment, reducing cost and increasing quality.

One method to go about doing this is with continuous integration. With database continuous integration (CI), database changes need to be integrated into a shared repository or environment multiple times a day, or as often as possible, to ease change and quickly identify problems while they are still manageable.

While CI does not get rid of errors in code, it allows for rapid error detection and easy error location detection. This means that if a developer introduced an error in the code, or if the new code causes an already working piece of code to fail, the team is notified immediately and no further integrations occur until the issue is fixed. This streamlined process makes for safer and more rapid deployment of changes, because errors can be easily traced back to its source, the previous integration, shortening the time between integrations and offering substantial cost-savings in development.

The following best practices must be in place for continuous integration to run seamlessly:

  • Maintain a single source of truth
  • Build automation
  • Rapid, self-testing builds
  • Deployment automation
  • Visibility into the development cycle for all team members
  • Testing in a close of the production environment

Obviously, during active development, all components are liable to be tinkered with or updated. When any part of an application changes, a complete integration, as well as integration tests, must be implemented. Integration must be continuous at this stage because change is constant, and to continuously prove that all code has stayed intact throughout the changes, integration tests must be run.

Once it is proven that all database access methods perform correctly, the same process occurs again following another change, prompting a fresh build, followed by integration and its tests. This method will best guarantee a working version of the database at every stage of the development cycle.

Continuous integration within database development is harder to come by than CI in application development. It is for this reason that later stage integration of code into the database has more potential for unpleasant surprises such as errors in manual scripting, which could lead to costly and unnecessary delays. Database CI handles this problem and exponentially minimizes the element of risk, leading to more reliable deployment and more frequent releases.

Learn how the world’s first NoSQL Engagement Database delivers unparalleled performance at any scale for customer experience innovation that never ends.

Topics:
continuous integration ,integration tests ,database ,best practices

Published at DZone with permission of Yaniv Yehuda, DZone MVB. See the original article here.

Opinions expressed by DZone contributors are their own.

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