ISBN: 9798172786921 - High-availability Node.js Backend Design: Kubernetes Orchestration for Mission-critical Ai Applications Leif Thornqvist (6 results)

Taschenbuch. Condition: Neu. Neuware - 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 GitOpsFrom 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.>Build for failure. Design for recovery.Engineer AI systems that stay available.…

Paperback. Condition: new. Paperback. 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 zonesBuild resilient Docker containers and Kubernetes workloadsConfigure liveness, readiness, resource limits, and Pod Disruption BudgetsScale AI workloads with HPA, VPA, custom metrics, and intelligent traffic managementProtect AI APIs with TLS, WAFs, RBAC, network policies, and secure secretsBuild fault-tolerant systems using circuit breakers, graceful degradation, and chaos engineeringMonitor AI infrastructure with Prometheus, Grafana, Jaeger, and OpenTelemetryPlan disaster recovery, multi-region deployments, backups, RTO, and RPODeploy AI services safely using canary releases, blue-green deployments, and GitOpsFrom 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Paperback. Condition: new. Paperback. 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 zonesBuild resilient Docker containers and Kubernetes workloadsConfigure liveness, readiness, resource limits, and Pod Disruption BudgetsScale AI workloads with HPA, VPA, custom metrics, and intelligent traffic managementProtect AI APIs with TLS, WAFs, RBAC, network policies, and secure secretsBuild fault-tolerant systems using circuit breakers, graceful degradation, and chaos engineeringMonitor AI infrastructure with Prometheus, Grafana, Jaeger, and OpenTelemetryPlan disaster recovery, multi-region deployments, backups, RTO, and RPODeploy AI services safely using canary releases, blue-green deployments, and GitOpsFrom 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…