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Kubernetes Production Operations Running Containerized Workloads at Scale: Cluster Architecture, Autoscaling, and Reliability Engineering for Cloud-Na
Paperback
General ComputersOperating SystemsProgramming
Publisher: Independently Published
Published: May 20 2026
Pages: 390
Weight: 1.36
Height: 0.80 Width: 6.69 Depth: 9.61
Language: English
The book also confronts unresolved scaling tensions. Kubernetes was originally optimized for clusters of thousands of nodes; modern environments routinely exceed that boundary, forcing painful choices between vertical cluster growth and multi-cluster coordination. It traces the shift from treating clusters as permanent infrastructure to viewing them as disposable scheduling domains-a conceptual change that redefines reliability engineering for cloud-native systems.
What You Will Learn - Why Kubernetes rejected Mesos's two-level scheduling-and how that centralized decision created today's fairness and preemption challenges - How CRI, CNI, and CSI abstractions solved vendor politics while fragmenting operational predictability - The real reason production postmortems blame interaction patterns, not individual components - Why autoscaling, resource quotas, and network overlays form a hidden feedback loop that can destabilize utilization - The architectural entropy created by admission controllers, custom resource definitions, and policy engines - When to scale vertically versus distributing across clusters, and why hybrid federation is becoming the dominant pattern
If your team runs production Kubernetes at scale, this book delivers the architectural clarity and operational rigor to build systems that fail gracefully rather than catastrophically. Read it before your next postmortem.
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