FaaS-netes Deployment and Operations: The Complete Guide for Developers and Engineers

"FaaS-netes Deployment and Operations"

"FaaS-netes Deployment and Operations" is the definitive guide to deploying, managing, and optimizing serverless workloads on Kubernetes. Designed for cloud engineers, architects, and DevOps professionals, this comprehensive resource demystifies the fundamentals of Function-as-a-Service (FaaS) in the Kubernetes landscape, bridging the gap between commercial FaaS offerings and open-source, cloud-native implementations like Knative, OpenFaaS, Kubeless, and Fission. Through expert explanations, the book systematically covers architectural components, event-driven programming models, and real-world workload patterns, equipping readers with a deep understanding of how serverless paradigms are evolving within enterprise and multi-cloud environments.

The book delves into the practicalities of execution environments, autoscaling, function lifecycle management, and multi-tenancy—all essential for building robust, secure, and resilient serverless platforms. Readers learn to architect efficient deployment pipelines using tools like Helm, Kustomize, Terraform, and Crossplane; they explore advanced networking, ingress management, and observability enabled by contemporary service mesh, monitoring, and tracing solutions. Emphasis is placed on security and policy enforcement—covering runtime secrets, RBAC, artifact integrity, compliance, and tenant isolation—to ensure that serverless workloads remain trusted, compliant, and auditable at scale.

Beyond operational best practices, "FaaS-netes Deployment and Operations" confronts the frontiers of performance optimization, cost management, and hybrid cloud integration in FaaS-netes, addressing challenges such as cold starts, multi-cluster deployments, edge FaaS, and emerging trends like WebAssembly. The book culminates with in-depth case studies and forward-looking perspectives, offering invaluable lessons from real-world implementations, integration of AI/ML in serverless workflows, and future projections for the Kubernetes-powered serverless ecosystem. This authoritative reference is essential for anyone interested in driving innovation with serverless technologies across dynamic, cloud-native infrastructures.

© 2025 HiTeX Press (E-bog): 6610000974351

Release date

E-bog: 24. juli 2025