Database DevOps Implementation
Deliver value faster while maximizing ROI
What is DevOps?
DEVeloper + OPerationS
DevOps is a set of practices combining software development and IT operations to deliver more features, fixes, and updates faster, in alignment with business objectives, continually providing value to customers
The Benefits Of DevOps
Teams that adopt DevOps culture, practices, and tools become high-performing, building better products faster for greater customer satisfaction.
DevOps And Microsoft’s SSDT
Microsoft’s SSDT Suite (SQL Server Data Tools) provides a complete solution for every facet of the software development lifecycle – brought right to the DBA’s doorsteps. This suite of tools gives the database developers everything they need to integrate their development lifecycle into the application development lifecycle. Errors can be discovered immediately before they reach any actual database. Difficult and time-consuming tasks can become easier than ever (and even automated!).
Database DevOps Implementation is based on the SSDT Suite, along with a proven database DevOps methodology.
This solution is all about training and mentoring your team so that they can operate the whole process by themselves. We provide training and consulting to your team along the way.
Ready to take the next step or have any questions? Talk to one of our experts
A few years ago, it was common to have the database development lifecycle completely separate from the main application development lifecycle. While the application development team enjoyed modern lifecycle techniques, such as source control, version history, unit tests, code review, continuous integration/deployment/delivery, and more... On the other hand, the database developers had to implement their own partisan methodologies on a seemingly separate development path.
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As a result, both DBA and application development teams find themselves fighting to “align” between database schemas and application versions. In the end, we are left with poor communication between the application and database teams, longer development cycles, longer or even non-existent testing cycles, many errors during deployment (most of which are sometimes quite embarrassing, other times downright dangerous), high cost, and times of fixing bugs, and more.
We all know the database is a critical element of your software product. It’s high time for that fact to be reflected in your development lifecycle! And we are here to guide you through all the steps necessary to make this a reality in your organization.
5 Steps To Database DevOps Implementation
Kickoff Meeting
We interview key role members in your organization, such as the CTO, lead developer, senior DBA, DevOps, etc. We collect information about the current product development lifecycle, the current database structure and SQL features in use, etc.
Create a Database Project
We create an SSDT project to represent your database. In most cases, this first phase will result in a lot of compilation and reference errors in your project, which we’ll then need to resolve one-by-one.
Finding these compilation and referential errors brings great benefit to us because we can clean out outdated and unused code which only hinders and slows down our database operations.
We also make any customizations necessary to solve any edge cases inherent in your specific use case.
By the end of this, we will have a database project that will function as a single source of truth.
Integrate Source Control
We integrate SSDT with your preferred source control repository, such as GitHub or TFS. We add the database project to source control, create the required branches, and prepare everything for the new development methodology.
Implement CI/CD
We integrate the database project to your existing CI/CD process using your preferred tools. in case you don't have any existing CI/CD process, we will create it for you
Develop a Database Unit Test
Using the SSDT Unit Testing framework, we create a unit test for one of the modules and add them to the CI/CD process for automatic unit testing.
