Features and Benefits

Features

  • SSD Storage: Supports swift data retrieval and reliable data storage.

  • Storage Size: The cluster size ranges from 2 TiB to 42 TiB, with all provisioned capacity fully usable—no space is reserved for system overhead or performance headroom.

  • No data transfer charges: Traffic between Network File Storage and your VMs is not metered or billed.

  • NFSv4.2: The latest NFS protocol version, NFSv4.2, allows standard read and write operations directly to storage.

  • Encryption at rest: Provides encryption at rest, by default.

  • Squash security: Network File Storage's built-in security mechanism reduces the risk of unauthorized root-level access from the client machine to the NFS server. Next to squash security, enabling the root squash security feature prevents superuser privileges to the root user on a client machine. It also prevents potential attacks on the NFS server when the client machine is compromised.

Benefits

  • High Performance and Reliability: NFSv4.2 protocol provides high availability and durability and the following benefits:

    • Reduced protocol overhead with compound operations and caching.

    • Efficient file operations with minimal server interaction.

    • Live data movement without interruption.

    • Detailed file-level access and performance telemetry in the Activity Logsarrow-up-right.

  • Seamless Management: Benefit from proactive IT infrastructure management and maintenance with IONOS’s managed Network File Storage.

  • Efficient Data Sharing: Distribute and manage data across multiple VMs within a VDC, with centralized data organization and fine-grained POSIX access control.

Use Case

Suitability

Shared configuration / static assets

Recommended

Media serving / content delivery origin

Recommended

Backup target / archival

Recommended

Log aggregation / event ingestion

Suitable

Kubernetes RWX persistent volumes

Suitable

CI/CD artifact storage (mixed read/write)

Evaluate first-performance varies with mixed read or write patterns; test with your workload.

Databases or transactional writes

Not recommended - write latency may exceed transactional requirements

Synchronous write workloads with tight timeouts

Not recommended - synchronous commit latency is not configurable

For detailed performance specifications, latency measurements, and limitation details, see Technical Specification and Limitationsarrow-up-right.

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