SonarQube Systems and Automation (eBook, ePUB)
Definitive Reference for Developers and Engineers
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"SonarQube Systems and Automation" "SonarQube Systems and Automation" is the definitive guide for architects, DevOps engineers, and technical leaders who strive to build and maintain robust, scalable code quality management solutions. The book begins with a comprehensive architectural exploration of SonarQube, dissecting its server, database, scanner engines, and extensible ecosystem. Readers gain a practical understanding of how code quality is modeled through rules, metrics, and customized analysis profiles, and how SonarQube's distinct approach compares with other leading quality systems in...
"SonarQube Systems and Automation"
"SonarQube Systems and Automation" is the definitive guide for architects, DevOps engineers, and technical leaders who strive to build and maintain robust, scalable code quality management solutions. The book begins with a comprehensive architectural exploration of SonarQube, dissecting its server, database, scanner engines, and extensible ecosystem. Readers gain a practical understanding of how code quality is modeled through rules, metrics, and customized analysis profiles, and how SonarQube's distinct approach compares with other leading quality systems in the marketplace.
Step by step, the book navigates complex deployment scenarios-from single-node installations to resilient distributed clusters and cloud-native environments. It arms readers with proven strategies for provisioning, automation, monitoring, and disaster recovery, using modern Infrastructure-as-Code practices with Ansible and Terraform. Each chapter details automation-oriented best practices, including advanced API usage, CI/CD pipeline integration, administrative scripting, and feedback loops to optimize developer productivity and enable continuous improvement.
Beyond operational excellence, this work emphasizes extensibility and security, covering everything from custom rule and plugin development to advanced security, compliance, and data protection frameworks. Forward-looking chapters investigate AI-driven code analysis, policy-as-code automation, and real-world case studies, offering inspiration and reference architectures for organizations of any size. "SonarQube Systems and Automation" is an essential resource for anyone seeking to master automated code quality control and foster organizational excellence in software delivery.
"SonarQube Systems and Automation" is the definitive guide for architects, DevOps engineers, and technical leaders who strive to build and maintain robust, scalable code quality management solutions. The book begins with a comprehensive architectural exploration of SonarQube, dissecting its server, database, scanner engines, and extensible ecosystem. Readers gain a practical understanding of how code quality is modeled through rules, metrics, and customized analysis profiles, and how SonarQube's distinct approach compares with other leading quality systems in the marketplace.
Step by step, the book navigates complex deployment scenarios-from single-node installations to resilient distributed clusters and cloud-native environments. It arms readers with proven strategies for provisioning, automation, monitoring, and disaster recovery, using modern Infrastructure-as-Code practices with Ansible and Terraform. Each chapter details automation-oriented best practices, including advanced API usage, CI/CD pipeline integration, administrative scripting, and feedback loops to optimize developer productivity and enable continuous improvement.
Beyond operational excellence, this work emphasizes extensibility and security, covering everything from custom rule and plugin development to advanced security, compliance, and data protection frameworks. Forward-looking chapters investigate AI-driven code analysis, policy-as-code automation, and real-world case studies, offering inspiration and reference architectures for organizations of any size. "SonarQube Systems and Automation" is an essential resource for anyone seeking to master automated code quality control and foster organizational excellence in software delivery.
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