Customer Success
How Yellow.ai Employs HyperTest to Achieve 95% API Coverage and Ensure a Flawless Production Environment
The Yellow.ai platform is built with several independent services, which creates many interdependencies and leads to integration issues. They needed a mechanism to quickly identify and correct the root cause of these issues, ensuring the system runs smoothly without interruptions.
Pain Points:
Time-intensive maintenance of automation test suites with low API coverage.
Difficulty in maintaining automation suites amid rapid development and frequent updates.
Integration bugs due to complex interdependencies among microservices.
Results:
Reduced integration bugs by 75%, enhancing system reliability.
Accelerated time-to-market for new features, boosting competitiveness.
Achieved bug-free production, ensuring a seamless user experience.
About:
Founded: 2016
Employees: 1000+
Industry: Conversational AI Platform
Users: 1100+ enterprises across 85 countries
Yellow.ai, headquartered in San Mateo, is at the forefront of the conversational AI platform industry, revolutionizing customer service and sales automation worldwide. Since 2016, they have expanded rapidly to serve over 1,100 enterprises across 85 countries. Yellow.ai is recognized as a Challenger in the 2023 Gartner® Magic Quadrant™ for Enterprise Conversational AI Platforms.
Yellow.ai’s Requirements:
Enhanced control over automation processes to reduce the operational burden.
Increased automation coverage to ensure comprehensive testing across all updates and development cycles.
A robust testing framework to handle the complexities of microservices and prevent integration bugs.
Challenge:
As a no-code platform reducing operational costs by 60%, Yellow.ai recognized the essential need for robust automation to ensure the reliability of their microservices.
Despite using advanced tools like Rest Assured and Karate, comprehensive coverage remained elusive, and maintaining the test suite became increasingly cumbersome.
The complexity and frequency of updates to their system introduced persistent integration bugs, particularly due to the interdependencies within their extensive use of microservices.
The challenges of keeping up with the fast-paced development cycle highlighted the urgent need for a more adaptive and powerful automation strategy to align with Yellow.ai’s dynamic technical environment.
Solution:
The introduction of HyperTest marked a turning point for Yellow.ai. This powerful tool minimized the labor-intensive aspects of maintaining a test suite and introduced unprecedented efficiency in the testing process:
HyperTest’s capability to automatically generate targeted test cases and precisely identify errors shortened testing cycles by 50%.
The reduction in time and effort required for backend testing was substantial, with a 60% decrease in labor hours, thanks to HyperTest’s rapid reporting features enabling preemptive detection of contract failures before production.
By ensuring 95% API coverage with each test run without extensive manual input, HyperTest redefined Yellow.ai’s testing protocols, instilling confidence and enhancing the reliability of software releases.
With the help of the Hypertest tool, we can automate new features while doing the first round of testing only. We don't have to spend extra time in the sprint doing automation & helping us in releasing bug-free features to production. -Nirzar Goswami, Senior Software Development Engineer
