Filestore

Fully managed, high-performance file storage for Google Cloud workloads

What is Filestore?

Filestore is a fully managed Network Attached Storage (NAS) service on Google Cloud that provides scalable, high-performance file storage for applications requiring a file system interface and shared access to data. Designed to integrate seamlessly with Google Compute Engine, Google Kubernetes Engine (GKE), and other Google Cloud services, Filestore delivers persistent storage that supports multiple concurrent clients using the NFS protocol.

Filestore is ideal for workloads such as high-performance computing, content management, media processing, and machine learning, where low-latency, high-throughput, and consistent performance are critical. With its managed nature, Filestore eliminates the operational overhead of provisioning, scaling, patching, and maintaining file servers, allowing teams to focus on building and running applications.

Architecture

Key Components

Filestore Instance

A managed NFS file server that provides scalable, persistent storage for your workloads. Each instance is provisioned with a specific capacity and performance tier.

Clients (VMs & GKE)

Compute Engine VMs, Google Kubernetes Engine clusters, and other clients connect to Filestore via the NFS protocol for shared file access.

Service Tiers

Filestore offers multiple service tiers (Basic, High Scale, Zonal, Regional) to match different performance, capacity, and availability needs.

Key Capabilities

High Performance & Scalability

Supports high throughput and IOPS, with low latency for demanding workloads. Scales from hundreds of GBs to 100+ TBs per instance.

Security & Compliance

Data is encrypted at rest and in transit. Supports VPC Service Controls, IAM, and integration with Google Cloud security tools.

Managed Backups & Snapshots

Automated and on-demand backups, snapshots, and easy restore options for disaster recovery and data protection.

Seamless Cloud Integration

Integrates with Compute Engine, GKE, Cloud Storage, and other Google Cloud services for end-to-end workflows.

Common Use Cases

High-Performance Computing (HPC)

Media Processing & Content Management

Machine Learning & AI Workloads

Web Serving & CMS

Data Analytics Pipelines

Enterprise Application Data

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