A fundamental part of keeping your company on the cutting edge is managing continuous database changes, which are crucial to producing results as quickly and seamlessly as possible.
Yet, there are many issues that can occur concurrently with continuous database changes, some of which can can be quite costly and detrimental. In fact, around 80% of unplanned database downtime is due to these changes. This is because our systems have become increasingly complex as they work to handle data from large corporations and organizations.
Thus, any small change needs to be able to run smoothly across this wide system, which likely includes web, cloud, and mobile environments. For these reasons, it's extremely important to stay on top of continuous database changes to ensure that transitions and revisions occur without causing damage.
3 Common Challenges in Managing Continuous Database Changes
While it's becoming more common for core applications to use agile database development, there are three common challenges that tend to show up when implementing continuous database changes with agile methodologies. These include:
- An inability to accurately capture all configuration changes.
- Having too many errors in deployment or production.
- The inability to rollback.
When these challenges are left unaddressed, agile methodologies slow down processes instead of speed them up. This is because the development process and tools were originally created in order to handle a system that was making 2-3 changes per year using a waterfall system, instead of continuous changes.
Continuous database changes require a new set of skills that might have atrophied or never been there to begin with in a waterfall system. For example, continuous testing and tagging each change cycle are necessary steps that must now be done extremely fast. It's therefore crucial to establish some manner of deployment automation with a high level of visibility and manageability.
DB Change Management Best Practices
The best way to navigate through this complex process is by organizing these changes during the development stage. This includes:
- Code changes
- Continuous database changes
- Configuration changes
- Metadata changes
This is important so that all the relevant requirements are identified for each piece of code and each change. This way, in the testing an staging environments, you can differentiate between the changes to determine which are ready to be deployed and which are not.
It's important to note that there's a myth that asserts that lumping all the changes together and deploying them at once saves time. More often than not, the opposite is true, with more mistakes as a result of individual changes not being taken into account before deployment.
While the development stage has adapted, and is able to pump out changes quickly, the operations department needs more time to monitor each change before publishing and deploying them. This is the problem that many organizations run into.
DevOps and Error-Free Continuous Database Changes
This is where DevOps comes in. Instead of the development and operations teams only communicating when introducing a change, the philosophy of DevOps insists that development and operations unite as a single team and work together from the onset.
While there is still a bit of apprehension regarding embracing DevOps for the database, database tools such as enforced database source control, database build automation tools, and database verification processes help transform the database into a stable resource in the DevOps tool chain.
This allows for development to introduce continuous database changes in collaboration with operations, greatly diminishing the chances that these revisions would cause costly damage.