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Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

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Michelin, an e2open customer evaluated Oracle Transportation Management

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Michelin, an e2open customer evaluated Oracle Transportation Management

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

List of SauceLabs Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight Insight Source
insightsoftware Professional Services 2600 $510M United States Sauce Labs SauceLabs Test Automation Platform 2018 n/a In 2018, insightsoftware implemented SauceLabs, deploying the Test Automation Platform to centralize automated UI and API validation across its engineering organization. The implementation activity was driven by a Senior QA Automation Engineer who built maintainable automation scripts using Java, Maven, TestNG and Page Factory and who focused on end to end UI and API test coverage. The technical design integrated a Selenium Grid with Docker and Jenkins continuous integration pipelines, enabling orchestration of automated smoke and regression suites as part of build and deployment workflows. SauceLabs was used alongside on prem grid components to provide cross browser execution and remote session management, and automation scripts were instrumented with TestNG for test orchestration and Maven for dependency and build management. Toolchain integrations included Applitools for visual validation, TestRail for test case management, and Allure for results reporting, with OkHttp and GSON used in API test implementations. Operational scope covered regression testing on new builds and ongoing collaboration with developers in the United States and globally, ensuring automated suites were incorporated into regular development cycles. Governance and process work emphasized test reporting and traceability, with the QA lead providing status updates, preparing test reports, participating in functional and non functional requirement reviews, and recommending iterative improvements to the automation process and test suite.
Wunderkind Professional Services 800 $148M United States Sauce Labs SauceLabs Test Automation Platform 2018 n/a In 2018, Wunderkind implemented SauceLabs as its Test Automation Platform to centralize cross-browser and device testing across engineering and quality functions. The deployment supported Testing as a Service frameworks that enabled more than 10 agile teams and three departments to incorporate automated testing into CI CD pipelines, executing upwards of 30k tests per week. SauceLabs was configured to support functional, API, user-flow, and performance and stress testing across three distinct testing environments, with test orchestration driven by WebdriverIO and Selenium for front end suites, and PyTest and Postman for API and back-end validation. Automation patterns emphasized end-to-end pipelines and prioritized high impact scenarios to optimize test coverage and execution time. The implementation integrated SauceLabs with Dockerized test runners hosted in Google Cloud Platform and orchestrated in Kubernetes, leveraging Python-based service mocks to increase the number of testable services. SauceLabs integration into CI CD gates allowed unit to end-to-end tests to run automatically during release pipelines, enabling coordinated releases across quality engineering and product teams. Governance and operational controls around the SauceLabs rollout included incident management, release automation, and reliability measurement programs such as SLI SLO and SLA monitoring that worked alongside Prometheus and Grafana. Reported outcomes tied to the implementation included a 50% reduction in cross-browser testing cost, approximately 20% fewer production bugs through automated large scale releases, and validated capacity for large scale stress testing that supported the companys high throughput event volumes.
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