Speeding up testing and deployment with automation
Zextras is a software company that develops Carbonio, a secure platform that provides business tools such as email, file sharing, chat, and calendars. As Carbonio expanded, Zextras began to face delays in testing and releasing new updates. Manual testing slowed the release process and created bottlenecks when introducing new features. At the same time, installing and updating Carbonio for partners required manual steps, which increased the risk of errors and made deployments less predictable.
To address these issues, Innowise introduced automated testing and deployment processes. Automated tests now run whenever developers make changes to the code, which reduces the time required for testing and helps detect problems earlier. These tests were integrated into the DevOps pipeline so they run as part of the build process. In addition, the setup and installation process for partners was automated, which made deployments faster and more reliable. Teams also receive clear reports from the automated system, which helps them quickly identify and resolve issues during development and release cycles.
Challenge
The client needed a strategic partner to address key business objectives and deliver measurable outcomes in their market.
Solution
Our team developed and executed a comprehensive strategy tailored to the client's specific needs, leveraging industry expertise and proven methodologies to deliver results.
Results
Automation transformed the testing and release process for Carbonio. Testing that previously took about 35 hours now completes in roughly 20 minutes, while production bugs dropped by nearly 98 %. The automated system detected more than 240 critical issues before they could reach users. At the same time, deployments became 10 times faster and overall release cycles accelerated threefold. The installation process for partners also became simpler and quicker. With clearer automated reports, teams gained faster insight into system performance and issues, which supported quicker decisions. Engineers could then focus more time on developing new features instead of running manual tests.
