Why NeonIO Is the Ideal Cloud‑Native Storage Solution for Kubernetes

Introduction

With the rapid adoption of cloud‑native technologies, running stateless applications on Kubernetes is mature, but stateful applications still face significant challenges in persistent storage.

Challenges of Cloud‑Native Storage

The CNCF survey highlights four main challenges:

Usability – complex deployment and low cloud‑native integration.

Performance – high IOPS and low latency requirements.

High Availability – production use demands fault‑tolerance.

Agility – fast PV creation, deletion, scaling, and migration.

Common Cloud‑Native Storage Solutions

Rook‑Ceph provides Ceph cluster management via an Operator, leveraging container orchestration.

OpenEBS runs storage controllers as containers, with volumes composed of micro‑service containers.

Advantages

Deep integration with native orchestration systems.

Fully open‑source with active community support.

Disadvantages

Rook‑Ceph suffers from poor performance and high maintenance complexity.

OpenEBS‑hostpath lacks high‑availability, and OpenEBS‑zfs‑localpv also lacks HA, limiting their use to testing environments.

Why NeonIO Fits Cloud‑Native Storage

NeonIO Overview

NeonIO is an enterprise‑grade distributed block storage system designed for containerized deployment, offering dynamic provisioning, cloning, snapshots, restores, and resizing of Persistent Volumes.

Key service components include:

zk/etcd – cluster discovery and coordination.

MySQL – metadata storage for PVs.

Center – logical management (PV creation, snapshots).

Monitor – metrics exposed to Prometheus.

Store – handles application I/O.

Portal – UI interface.

CSI – standard storage interface.

Usability

All components, CSI, and portal are containerized.

Native CSI support enables static and dynamic PV creation.

UI simplifies operations, monitoring, and QoS management.

Deep Cloud‑Native Integration

Metrics exported to Prometheus via ServiceMonitor; UI integrates with Grafana.

Operations (expansion, upgrade, disaster recovery) are performed with simple Kubernetes commands.

Service discovery and distributed coordination use etcd and CRDs.

One‑Click Deployment

Deploy with Helm:

helm install neonio ./neonio --namespace kube-system

Performance

NeonIO achieves up to 100K IOPS per PV with sub‑millisecond latency.

All‑flash distributed architecture scales linearly with node count.

NVMe SSDs and optional RDMA provide high throughput.

Ultra‑short I/O path by bypassing traditional file systems.

High Availability

Service components run with three replicas by default, with health probes for automatic failover.

Data is sharded, each shard replicated three times across distinct nodes, ensuring strong consistency and configurable replica counts.

Agility

Fast pod‑level rebuild: 2000 PV mount/unmount in 16 seconds.

Bulk PV creation: 2000 PVs in 5 minutes.

NeonIO Performance Results

Testing on a three‑node hyper‑converged cluster using NVMe SSDs (1 TiB volumes) shows NeonIO consistently outperforms competitors in IOPS and latency for both single‑replica and three‑replica configurations.

Typical Use Cases

DevOps – rapid bulk PV creation/destruction (2000 PV in 5 min).

Databases – stable, high‑IOPS storage for MySQL back‑ends.

Big Data – scalable volumes up to 100 TB for analytics workloads.