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How an IT service provider optimized software delivery using QALIPSIS

What if every pull request caught performance regressions automatically?

About the company

A leading IT service provider building complex, high-demand applications for clients across finance, healthcare, and retail — managing dozens of active projects with distinct technology stacks and release cadences.
How an IT service provider optimized software delivery using QALIPSIS

Industry

IT Services

Key challenge

Resource-intensive, manual performance testing that detected bottlenecks too late in the development cycle; limited insight into root causes

Stack under test

Jenkins, GitHub Actions and technologies depending on client project

QALIPSIS deployment

Bootstrap project, Gradle plugin, CI/CD integration, JUnit reporting, email notifications

Challenges

Why are bottlenecks found only weeks before delivery?

  • Engineers ran load tests manually against staging in the final weeks before release.
  • Test scripts lived outside the codebase and quickly drifted from the application.
  • Reports showed aggregate failures but lacked detail to pinpoint the problem location.
  • Performance testing needed to become continuous and developer-owned, not a late gate.

Results

shorter testing cycles
cost reduction in testing
faster issue resolution
higher test frequency

Solution: how QALIPSIS was used

How to keep test scenarios in sync with the application?

  • Bootstrap project initialised each client project with the QALIPSIS test structure.
  • Scenarios written in Kotlin, stored in the same Git repository as application code.
  • Developers updated scenarios in the same commit as application changes.

How to automate execution in CI/CD pipelines?

  • Smoke tests ran as nightly builds; full suites ran weekly.
  • JUnit-format reports published as pipeline artefacts for every run.
  • Any breach of response-time or error-rate thresholds failed the build automatically.
  • Regressions introduced midweek were flagged by the next morning’s nightly build.

How to get actionable reporting across teams?

  • Per-step breakdowns showed which step failed and the type of error — execution or verification.
  • Email notifications on build failures alerted development, operations, and management.

Conclusion

Challenge

Manual performance testing detected bottlenecks too late, with test scripts drifting from the application and reports lacking root-cause detail.

Solution

QALIPSIS scenarios versioned alongside application code, executed through Gradle tasks in CI/CD pipelines with JUnit reporting and email notifications.

Gains

55% less testing time, 60% cost savings, 50% more test iterations, and regressions caught within hours instead of weeks before delivery.

More use cases to explore

Looking to streamline your software testing process and reduce costs?

Request a demo of QALIPSIS today!