Master Layered Test Automation and Build Integrate and Deploy with ConfidenceKey Features● Implement automated testing across UI, API, and backend for robust coverage● Seamlessly integrate test automation with CI/CD pipelines for efficiency● Master advanced testing strategies for microservices and distributed systemsBook DescriptionIn today’s fast-paced software development landscape, ensuring application quality requires a strategic approach to test automation. Mastering Design Patterns for Layered Testing empowers you with the knowledge and tools to design, implement, and optimize automation across UI, API, and backend layers using Python’s powerful ecosystem.Starting with foundational concepts like test design patterns and the Test Pyramid, the book delves into practical implementations of unit testing, integration testing, API testing, and contract testing. You’ll learn how to integrate automated tests into CI/CD pipelines using GitHub Actions, generate detailed test reports with Allure, and address modern testing challenges such as microservices and containerized environments. Real-world case studies illustrate how to apply these techniques in production settings.A dedicated chapter on Generative AI in testing explores its applications in test case generation and test data creation. Whether you're an intermediate tester looking to enhance your automation skills or an experienced professional seeking to learn advanced strategies, this book provides the expertise needed to build scalable and reliable test automation frameworks that drive software quality and efficiency. Stay ahead of the curve—master next-gen test automation before it’s too late!What you will learn● Design and implement scalable test automation across all application layers● Build robust test frameworks using Python’s advanced testing ecosystem● Seamlessly integrate automated tests into modern CI/CD pipelines● Apply advanced testing patterns for APIs, microservices, and UI components● Utilize contract testing and performance testing for reliable applications● Leverage Generative AI to enhance test coverage and efficiencyTable of Contents1. Introduction to Strategic Test Design2. Understanding Test Design Patterns3. Unit Testing Strategies4. Integration Testing Approaches5. API Testing Techniques6. Contract Testing7. Distributing Tests Across UI, API, and Backend Layers8. Integrating Tests into CI/CD Pipelines9. Advanced CI/CD Strategies10. Future of Test Automation11. Leveraging Generative AI in Testing IndexAbout the AuthorsManish Saini is a seasoned Lead SDET Consultant with over a decade of expertise in software quality assurance and test automation. His technical prowess spans multiple programming languages including Python, JavaScript, Golang, and Java, which he has leveraged to architect robust automation frameworks and implement sophisticated testing solutions for complex software systems. Through his work with industry leaders such as DigitalOcean and Akamai, he has gained deep expertise in cloud infrastructure, Kubernetes, and API performance testing. He consistently delivers high-impact testing solutions for cloud-based applications and microservices architectures.As an active leader in the BrowserStack QA Community, Manish is passionate about knowledge sharing and community building. He regularly organizes meetups, bug bash events, and technical sessions, delivering keynote talks on QA strategies, automation best practices, and CI/CD integration.a