Case Study: KAYAK achieves optimized, cost-efficient release cycles with LambdaTest

A LambdaTest Case Study

Preview of the KAYAK Case Study

LambdaTest Optimizes KAYAK's Release Cycles with Streamlined Testing Efficiency

KAYAK, the global travel search engine, was struggling with multiple local device labs that caused connectivity problems, node failures, unpredictable downtimes and scalability limits as release frequency increased. After evaluating cloud providers, KAYAK selected LambdaTest and adopted products including Manual Automation on Real Devices, Native App Automation and Smart UI Cloud to replace its maintenance-heavy device farms and support both mobile and web automation testing.

LambdaTest delivered a cloud-based real-device and automation testing platform with high concurrency, detailed reporting and responsive support (including Slack access), which KAYAK integrated into its existing stack. The move cut time spent on user and device-lab management, produced significant cost savings, improved test coverage (tracked via pass/fail ratios and device coverage), increased adoption across the org and helped deliver a better end‑user experience.


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KAYAK

Richa Bamb

Senior Quality Manager


LambdaTest

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