Master Layered Test Automation and Build Integrate and Deploy with Confidence
Key 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 systems
Book Description
In 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 efficiency
Table of Contents
1. Introduction to Strategic Test Design
2. Understanding Test Design Patterns
3. Unit Testing Strategies
4. Integration Testing Approaches
5. API Testing Techniques
6. Contract Testing
7. Distributing Tests Across UI, API, and Backend Layers
8. Integrating Tests into CI/CD Pipelines
9. Advanced CI/CD Strategies
10. Future of Test Automation
11. Leveraging Generative AI in Testing
Index
About the Authors
Manish 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.
