5 Hidden Database Deployment Costs
Database deployments that change schema and logic are often performed via a lengthy and costly manual process. It is important to remember: a task that is expensive does not just cost the amount of money paid in resources and time. There are unintended costs that are hidden and 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 do not receive new features, enhancements, and bug fixes quickly. This time to market delay can result in a decrease in revenue, savings or even job security. In today’s market, competition is only a swipe away on a mobile device. Because of this, companies cannot afford to have the general state of database deployments delay the delivery of new application features to market.
With manual database deployment processes, there are often mistakes. These mistakes lead to the need for further repairs. Had the manual deployment process been completed correctly with no errors, you would have saved 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.
3. Finger Pointing and Blame Shifting
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.
Application developers and DBAs are often siloed off from each other. Because of this, feedback on DB changes are not provided to the dev team until the DBAs review the change. That review happens late in the release cycle. 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 interrupt to the current dev cycle and delays to new features.
5. Quality of life
Poor performing products, out-of-band changes, finger pointing, and interrupts 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.