Build a reliable data management application your customers can trust
Databases, data storage, and data analytics are mission-critical applications to the businesses that run on them. So ensuring data integrity, security, performance, and availability are key requirements.
Build a reliable data management application your customers can trust
Databases, data storage, and data analytics are mission-critical applications to the businesses that run on them. So ensuring data integrity, security, performance, and availability are key requirements.
Move at pace whilst ensuring product quality and stability
Business challenges
If quality goes out of hand, questions come your way
A defect in a data management system can turn into a serious production incident: data loss, security breach, business downtime.
The ensuing customer disruption usually leads to stressful internal escalation, and well as disruption to your engineering team (which is already under a lot of time pressure!).
Solution
Ensure product quality and stability
Leading data management vendors have already integrated Undo into their Continuous Integration pipeline.
By doing so, they are enabling their engineering team to proactively catch and fix defects early by reducing the number of defects bypassing testing – ensuring consistent product quality and stability and improved customer experience.
TRUSTED BY LEADERS
According to a recent research report, 82% of software vendors have experienced issues in production related to a previously seen, but unfixed, test failure. Usually, that’s because a test failure could not be reproduced.
With Undo, engineers can record a program run – capturing an exact replica of that failed process. The recording provides a complete picture of what the software did, and why.
Engineers simply analyze the recording by stepping forward and backward through the program’s execution, just as they would with a video player. This process allows engineers to swiftly identify the root cause of the defect, and fix it.
This workflow significantly improves engineering efficiency, since no time is wasted trying to reproduce the failure.