SINGAPORE, July 3, 2025 /PRNewswire/ -- Arcfra has released Arcfra Kubernetes Engine (AKE) 1.4, a production-ready platform that makes Kubernetes simpler, more secure, and more efficient. The update adds major improvements in observability, O&M, and multi-tenant management to help enterprises run Kubernetes at scale with ease.

Smarter Team Collaboration with Multi-Tenancy

Integrated with Arcfra Operation Center, AKE 1.4 introduces project-level permission control, allowing teams to securely share a single cluster while maintaining clear boundaries. Role-based access ensures only the right users have access to the right resources.

Unified Security Policies Across VMs and Containers

With a flat network plugin AIC and Arcfra Network Service distributed firewall, enterprises can now define and enforce consistent, unified security policies across both virtual machines and containers—dramatically improving security and access control.

Visualized Application Deployment

AKE 1.4 streamlines the deployment experience with support for selecting local YAML directories via file chooser. Kubernetes resource objects are auto-recognized, enabling one-click creation and real-time status monitoring—perfect for deploying from core components to business applications.

Improved Observability and High Availability

AKE now offers deep visibility into cluster status, system performance bottlenecks, and workload health. Real-time dashboards track usability, availability, resource usage, latency, and system. Alerts via email, SNMP traps, or webhooks ensure rapid incident response. Monitoring has expanded to etcd, Harbor, and Contour, helping users pinpoint root causes faster.

Network traffic visualization offers unified monitoring for VM and container traffic, enhancing security analysis and allowing admins to preview policy impacts before enforcing changes.

Direct Console Access for Faster Troubleshooting

AKE offers built-in console access for clusters, nodes, and pods directly in the UI, enabling admins to run kubectl commands, configure core components, view logs, and debug applications—all without leaving the dashboard.

Enhanced with syntax highlighting, autocomplete, and pagination, this makes daily operations much faster and less error-prone.

Flexible Infrastructure for AI Training & Inference

AKE supports Kubernetes on both bare metal for high-performance AI training and VMs for scalable, multi-tenant inference. Advanced scheduling, tenant isolation, and visual tools make AKE an optimal foundation for enterprise-grade AI pipelines.

AKE  is already trusted in production by leading enterprises like ConnectWave, powering AI model training, and Foxconn, streamlining container management across DevTest and manufacturing systems to boost efficiency and service quality.