What testing tool is used at Flipkart?
Flipkart, being one of the largest e-commerce platforms, uses a combination of open-source and in-house testing tools to ensure high-quality software. Some of the key testing tools used at Flipkart include:
Why Quality Thought is Best for Testing Tools Training?
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Comprehensive Course Coverage – Offers training on manual testing, automation testing (Selenium, Appium), API testing (Postman, Rest Assured), performance testing (JMeter, LoadRunner), and security testing.
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Expert Trainers – Industry professionals with real-time experience in software testing and automation frameworks.
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Hands-on Learning – Live projects and practical sessions ensure in-depth understanding.
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Updated Curriculum – Covers latest testing trends, tools, and methodologies (e.g., Agile, DevOps Testing).
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Mock Interviews & Placement Support – Guidance for certifications, interview preparation, and job placements.
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Flexible Learning Options – Online and classroom sessions with recorded lectures for revision.
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Industry Recognized Certification – Certification that adds value to job applications.
1. Automation Testing Tools:
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Selenium – For web automation testing.
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Appium – For mobile app testing (Android & iOS).
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TestNG & JUnit – For structuring and running automated test cases.
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Cypress – For fast, modern web application testing.
2. Performance & Load Testing:
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JMeter – For load and performance testing.
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Gatling – To test large-scale user traffic scenarios.
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Locust – Python-based tool for distributed load testing.
3. API Testing Tools:
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Postman – For API testing and automation.
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Rest Assured – For testing RESTful APIs.
4. Security Testing:
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Burp Suite – For penetration testing.
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OWASP ZAP – To detect security vulnerabilities.
5. Continuous Integration (CI) & DevOps Testing:
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Jenkins – Automated CI/CD pipelines.
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GitLab CI/CD – Continuous testing and deployment.
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Docker & Kubernetes – Containerized test environments.
6. In-house Testing Frameworks:
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Flipkart has developed custom testing frameworks to optimize testing for its large-scale applications, including AI-driven testing and self-healing automation frameworks.
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