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Cover for Efficient Build Automation with Gradle: Definitive Reference for Developers and Engineers

Efficient Build Automation with Gradle: Definitive Reference for Developers and Engineers

Language
English
Format
Category

Non-Fiction

"Efficient Build Automation with Gradle"

"Efficient Build Automation with Gradle" is a comprehensive guide designed for software engineers, build specialists, and DevOps practitioners seeking to master the complexities of modern software delivery with Gradle. Beginning with core principles of build automation, the book meticulously explores the motivations, evolution, and architecture behind Gradle’s robust build system. It offers an in-depth comparison of Groovy and Kotlin DSLs, practical strategies for reproducible and deterministic builds, and seamless integration techniques for development and DevOps workflows.

The book seamlessly progresses into advanced Gradle authoring, unraveling best practices for maintainable scripts, scalable multi-module builds, and sophisticated dependency management. Readers are equipped with expert techniques for debugging, performance optimization, parallel execution, and continuous profiling to maximize build efficiency. Special emphasis is placed on the challenges and solutions for large-scale projects, including custom plugins, caching strategies, and the avoidance of common scalability pitfalls, ensuring teams can deliver reliable software at speed.

From automated testing and quality gates to CI/CD integration and secure artifact management, the text provides actionable knowledge across the entire software lifecycle. Lastly, the book illuminates critical topics such as supply chain security, organizational governance, and compliance, supported by real-world case studies and emerging trends in build automation. "Efficient Build Automation with Gradle" stands as an authoritative resource for transforming build pipelines into resilient, scalable, and future-ready systems.

© 2025 HiTeX Press (Ebook): 6610000848874

Release date

Ebook: 11 June 2025

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