Scaling QA Velocity

At a Glance

The Challenge

A US-based software-defined storage company running the Illumos/OpenSolaris kernel was simultaneously releasing new features, certifying new hardware configurations, and maintaining a legacy product line. Their QA team was stretched across all of it. Release cycles were under pressure, test coverage gaps were growing, and the cost and time to hire engineers fluent in open-source storage tooling made internal scaling impractical.

The Mindteck Approach 

• Deployed a specialist QA and sustenance team trained across the client's full technology surface: open-source tool stacks, Linux/Illumos internals, Google Cloud and Amazon S3 APIs, agile testing methodologies, and the client's proprietary protocol implementations

• Structured the team to operate across time zones — enabling the US development team to hand off test runs at end of day and receive results by morning

• Took on end-to-end product testing for new feature releases while running sustenance and regression coverage for legacy versions in parallel

• Built reusable test frameworks and documentation to reduce future onboarding time and preserve institutional knowledge

Outcome

The client's development team regained the bandwidth to focus on product innovation. New releases moved through QA more quickly with higher confidence across both new and legacy product lines. The follow-the-sun model eliminated bottlenecks that had previously delayed release cycles. The engagement also gave the client a scalable, cost-effective QA model that could flex with their roadmap — expanding for major releases and contracting during quieter periods.