High-Availability Node.js Backend Design: Kubernetes Orchestration for Mission-Critical AI Applications Leif Thornqvist
Language: English
Published by Independently published, 2026
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- New

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- Title
- High-Availability Node.js Backend Design: Kubernetes Orchestration for Mission-Critical AI Applications Leif Thornqvist
- Author
- Thornqvist, Leif
- Publisher
- Independently published
- Publication year
- 2026
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 13
- 9798172786921
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:
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.
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
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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