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"Drone CI/CD for Cloud-Native Workflows"
"Drone CI/CD for Cloud-Native Workflows" is a comprehensive guide that delves deeply into the modern evolution of Continuous Integration and Continuous Delivery (CI/CD) in cloud-native environments. Through a clear exploration of core CI/CD concepts, the book establishes the importance of streamlined pipelines amidst the paradigm shifts brought by microservices, containers, and orchestration technologies. Readers are guided through the rapidly changing tools landscape, comparing Drone to other leading platforms, and are introduced to best practices for cloud-native DevOps, security, compliance, and continuous feedback essential for today’s high-velocity teams.
Moving beyond the fundamentals, the book offers a meticulous breakdown of the Drone platform’s architecture, extensibility, and operational design. From defining robust, YAML-driven pipelines to orchestrating complex workflows that scale across cloud providers, each chapter is structured to provide actionable guidance and architectural insight. Topics such as secure identity management, container sandboxing, plugin development, threat modeling, observability, and performance optimization are treated in depth, catering to practitioners aiming to build resilient, maintainable, and secure delivery systems.
As organizations face increasing complexity in enterprise and multi-cloud operations, the book addresses advanced strategies for scalability, governance, cost control, and disaster recovery, all while surveying the horizon for upcoming innovations. Future-forward chapters examine AI-driven optimization, serverless and zero-trust architectures, and the next generation of GitOps and event-driven automation. Whether you are a platform engineer, DevOps practitioner, or an architect shaping CI/CD at scale, this book equips you with both the technical foundations and visionary knowledge needed to unlock the full potential of Drone in the cloud-native era.
© 2025 HiTeX Press (E-bok): 6610000974177
Utgivelsesdato
E-bok: 24. juli 2025
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