5 Hidden Costs of Manual Database Deployments
Many organizations deal with database schema and logic changes using a lengthy and often costly manual process. It’s important to remember that a task that is expensive doesn’t just cost organizations resources and time. There are unintended costs that are hidden and often ignored.
Here are the 5 hidden costs associated with today’s approach to deploying database changes.
1. Time-to-Market Delays
When production application releases are delayed due to manual database deployments, it impacts time-to-market. Customers aren’t receiving new features, enhancements, and bug fixes quickly. This delay results in decreased revenue and even job security. In today’s market, competition is only a swipe away on a mobile device. Because of this, companies can’t afford to be stagnant in their approach to the database pipeline. The delay in the delivery of new application features to the market will mean that you’ll lose to your competition.
With manual database deployment processes, there are always mistakes. To err is human, after all. These mistakes lead to the need for further repairs. When the database deployment process is completed with no errors, you save time spent diagnosing failed deployments and resolving them. Instead of delivering new features, your teams are fixing unforced errors. This is an unnecessary cost that wastes precious resources and time.
3. Finger-Pointing and Shifting Blame
Covering for one’s mistakes is time-consuming and takes away from far more valuable activities. However, being forced to defend the correctness of database deployments when something goes wrong is even worse.
Finger-pointing often happens with database deployments during a failed environment push. Teams will point to the DB change as the most likely source of the failure. When this happens, it’s left to the data team to prove they did the database deployment correctly, which costs time and money.
4. Interruptions and Task-Switching
Application developers and DBAs are often walled off from each other in their own silos. Because of this, feedback on DB changes is not provided to the dev team until the DBAs review the change. Reviews happen late in the release cycle. Devs are in a hurry up and wait situation. Thus, the feedback loop is too long. By the time the DBAs provide feedback and request for change, the dev team has moved onto the next sprint. This requires an interruption to the current dev cycle and delays to new features. Not to mention a lot of frustration.
5. Quality of life
Poor performing products, out-of-band changes, finger-pointing, and interruptions impact the entire team’s quality of life. In turn, that can lead to staff turnover, in-fighting, and inwardly focused technical teams. These problems distract from creating and delivering great products that benefit the company.
All these elements show that database deployments hidden costs are large and impactful. To improve your processes, you must get rid of friction in database deployments and align database code changes with application code changes to guarantee best practices for database deployment. This gets rid of massive costs and helps the company win against the competition.
To learn more about the benefits of database deployment automation and removing these hidden costs read our white paper, The ROI of Automating Database Deployments.