NFS Storage Triggers I/O Failures in Air-Gapped Kubernetes Cluster

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A self-managed Kubernetes cluster operating in an air-gapped private datacenter is facing critical storage failures due to its sole reliance on NFS as the primary StorageClass. Applications like Elasticsearch and Camunda's Zeebe engine require POSIX semantics — including atomic rename, fsync, and file locking — which NFS cannot reliably provide because of its stateless protocol and network latency. These limitations cause race conditions, data inconsistencies, and write amplification that degrade cluster reliability. Local storage alternatives such as Longhorn are ruled out because Elasticsearch data already exceeds the 100GB SSD capacity of each server, while cloud-based block storage options are unavailable in the isolated environment. The DevOps team must transition to a block storage solution that satisfies POSIX requirements to prevent continued data integrity risks and potential downtime.

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