NKE Features
Everything you need to run production Kubernetes — managed, secured, and optimized.
Managed Control Plane
Free, highly available, and auto-upgraded Kubernetes control plane. We handle etcd, API server, scheduler, and controller manager so you can focus on workloads.
Auto-Scaling Node Pools
Automatically scale worker nodes up or down based on pod resource demands. Configure min/max nodes per pool and scale to zero during off-peak hours.
Built-in Monitoring
Pre-configured Prometheus metrics collection and Grafana dashboards for cluster health, pod performance, and resource utilization out of the box.
Container Registry
Private, fully integrated container registry with vulnerability scanning, geo-replication, and seamless authentication with your NKE clusters.
Persistent Storage
CSI integration for reliable, high-performance persistent volumes. Support for ReadWriteOnce, ReadWriteMany, and dynamic provisioning.
Networking
Calico and Cilium CNI support with built-in ingress controllers, network policies, and load balancer integration for production-grade networking.
Managed K8s Services
24/7 monitoring and management for your Kubernetes clusters. Choose the level of support that fits your needs.
| Feature | Essential Custom pricing | Popular Advanced Custom pricing | Elite Custom pricing |
|---|---|---|---|
| 24x7 Cluster Health Monitoring | |||
| Workload Availability Checks | |||
| Alerting on Cluster Events | |||
| Standard Incident Response | |||
| Proactive Cluster Monitoring | |||
| Performance Alerting | |||
| Routine Operational Support | |||
| Incident Response & Escalation | |||
| Performance Optimization | |||
| Priority Incident Response | |||
| Continuous Cluster Health Management |
Supported Versions
Run the latest stable Kubernetes releases with automated patch management and seamless upgrades.
1.30
1.29
1.28
1.27
Architecture
Enterprise-grade Kubernetes architecture with high availability across every layer.
Control Plane
- API Server (HA)
- Controller Manager
- Scheduler
- Cloud Controller
etcd Cluster
- 3-node HA cluster
- Encrypted at rest
- Automated backups
- Cross-AZ replication
Worker Nodes
- Auto-scaling pools
- Multi-AZ placement
- Spot instance support
- GPU node pools
Networking
- Calico/Cilium CNI
- Ingress controllers
- Load balancers
- Network policies
Storage
- CSI driver
- Dynamic provisioning
- Volume snapshots
- Storage classes
Use Cases
NKE powers diverse workloads — from microservices to machine learning.
Microservices
Deploy and manage hundreds of microservices with service discovery, load balancing, and automated rollouts.
CI/CD Pipelines
Run build agents, test suites, and deployment pipelines natively on Kubernetes with auto-scaling runners.
ML Workloads
Train and serve machine learning models with GPU node pools, distributed training, and model serving infrastructure.
Multi-tenant SaaS
Isolate tenants with namespaces, resource quotas, and network policies for secure multi-tenant architectures.
Questions about NKE
Managed Kubernetes the way it should be — free control plane, fast node provisioning, and integrated observability.
Our solutions team typically replies within an hour during business hours.
Talk to a Kubernetes architect- Yes, the NKE (Neon Kubernetes Engine) control plane is completely free. Neon Cloud manages the API server, etcd cluster, scheduler, and controller manager at no cost. Worker nodes are billed at ₹640 per vCPU/month plus ₹288 per GB of RAM/month, with persistent storage billed separately.
- NKE supports Kubernetes versions 1.27 through 1.30. Version 1.30 is the latest release, 1.29 is the stable recommended version, 1.28 is fully supported, and 1.27 is in maintenance mode. Automated patch management and seamless version upgrades are included.
- NKE includes built-in monitoring with pre-configured Prometheus metrics collection and Grafana dashboards for cluster health, pod performance, and resource utilization. For advanced monitoring, managed K8s monitoring is available in three tiers — Essential, Advanced, and Elite — with increasing levels of proactive support and incident response.
- Yes, NKE supports GPU node pools for machine learning training, inference, and other GPU-accelerated workloads. You can configure dedicated GPU node pools alongside standard CPU pools, with auto-scaling to optimize costs during varying workload demands.
- NKE supports Calico and Cilium CNI plugins for advanced networking. Built-in features include ingress controllers, network policies for micro-segmentation, load balancer integration, and service mesh support for production-grade container networking.
- Yes, NKE is designed for multi-tenant architectures. You can isolate tenants using Kubernetes namespaces, enforce resource quotas per tenant, apply network policies for traffic isolation, and use RBAC for fine-grained access control across your SaaS platform.
- NKE provides auto-scaling at both pod and node levels. Horizontal Pod Autoscaler adjusts pod replicas based on CPU, memory, or custom metrics. Cluster Autoscaler automatically adds or removes worker nodes based on pod scheduling demands. You can configure min/max nodes per pool and even scale to zero during off-peak hours.