"KNative Functions for Cloud-Native Deployments"

Unlock the full potential of serverless computing with "KNative Functions for Cloud-Native Deployments," a comprehensive guide for engineers and architects building next-generation cloud-native applications. Beginning with the fundamentals of cloud-native architecture, this book explores the evolution from monolithic systems to microservices and serverless models, emphasizing the operational and business benefits that KNative brings to the Kubernetes ecosystem. Through a methodical progression, readers are introduced to the strategic motivations for adopting KNative, exploring foundational principles, key components, and the unique capabilities that set it apart in today’s dynamic IT landscapes.

Delving deeper, the book offers an in-depth analysis of KNative’s architecture, examining core elements like Serving, Eventing, and Build, and their seamless integration with Kubernetes primitives. It addresses advanced topics such as traffic management, revision strategies, networking, service mesh integration, and robust security and policy enforcement. Practical chapters guide readers through efficient CI/CD pipelines, observability, scaling strategies, resilient event-driven architectures, and comprehensive operational monitoring—ensuring high availability, cost efficiency, and compliance in real-world deployments.

With a strong focus on future-proofing applications, "KNative Functions for Cloud-Native Deployments" presents actionable patterns for authoring, testing, securing, and orchestrating functions within complex enterprise environments. Case studies from finance, healthcare, IoT, and the web illustrate successful industry adoption, while forward-looking discussions examine KNative’s positioning alongside emerging technologies like edge computing and AI-driven orchestration. This book serves as an indispensable resource for teams embracing cloud-native paradigms, offering both foundational knowledge and advanced practices to thrive in the evolving world of serverless computing.

© 2025 HiTeX Press (E-Book): 6610001023096

Erscheinungsdatum

E-Book: 19. August 2025