High-Availability Node.js Backend Design: Kubernetes Orchestration for Mission-Critical AI Applications Leif Thornqvist - Softcover

Thornqvist, Leif

9798172786921: High-Availability Node.js Backend Design: Kubernetes Orchestration for Mission-Critical AI Applications Leif Thornqvist

Softcover

ISBN 13: 9798172786921

Publisher: Independently published, 2026

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When an AI application cannot afford downtime, reliability must be designed—not hoped for.
High-Availability Node.js Backend Design: Kubernetes Orchestration for Mission-Critical AI Applications is a practical guide to building resilient AI backends that can withstand failures, handle unpredictable workloads, and recover gracefully when infrastructure goes wrong.
Designed for Node.js developers, AI engineers, DevOps professionals, and platform engineers, this book explores how Kubernetes orchestration can turn fragile AI services into scalable, fault-tolerant systems.
Inside, you’ll explore how to:

Design highly available Node.js services across multiple availability zones
Build resilient Docker containers and Kubernetes workloads
Configure liveness, readiness, resource limits, and Pod Disruption Budgets
Scale AI workloads with HPA, VPA, custom metrics, and intelligent traffic management
Protect AI APIs with TLS, WAFs, RBAC, network policies, and secure secrets
Build fault-tolerant systems using circuit breakers, graceful degradation, and chaos engineering
Monitor AI infrastructure with Prometheus, Grafana, Jaeger, and OpenTelemetry
Plan disaster recovery, multi-region deployments, backups, RTO, and RPO
Deploy AI services safely using canary releases, blue-green deployments, and GitOps

From GPU failures and traffic spikes to service outages and regional disasters, the focus stays on one goal: keeping mission-critical AI applications available when failure is not an option.
If you’re ready to move beyond basic Kubernetes deployments and engineer AI infrastructure for real-world reliability, this guide gives you a focused path forward.

Build for failure. Design for recovery.
Engineer AI systems that stay available.

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