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Block Storage - High-Performance Block Storage with Hyperdisk

Google Cloud Block Storage offers Persistent Disk and Hyperdisk for VMs with flexible performance and EU regions.

Storage
Pricing Model Pay-per-use (per GB provisioned)
Availability Global with EU regions
Data Sovereignty EU regions available
Reliability 99.9% or higher SLA

High-performance block storage for VMs with Persistent Disk and Hyperdisk for flexible performance scaling.

What is Google Cloud Block Storage?

Google Cloud Block Storage encompasses the block storage product family consisting of Persistent Disk and Hyperdisk. Both provide network-based block storage volumes for Compute Engine VMs but differ in their scaling architecture. Persistent Disk scales performance proportionally to disk size, while Hyperdisk allows IOPS, throughput, and capacity to be adjusted independently.

Hyperdisk is the latest generation of block storage in Google Cloud. With Hyperdisk Balanced, Extreme, ML, and Throughput, the product family covers all performance requirements. Hyperdisk Balanced is suited for general production workloads, Extreme for latency-sensitive databases, ML for machine learning training with high throughput, and Throughput for sequential batch processing.

Both product lines offer encryption-at-rest, incremental snapshots, and integration with Google Kubernetes Engine. Volumes can be moved between VMs and attached to multiple VMs simultaneously in read-only mode.

Core Features

  • Flexible Performance: Hyperdisk enables independent scaling of IOPS, throughput, and capacity
  • Snapshots: Incremental, globally available snapshots for backup and disaster recovery
  • Encryption: Standard encryption-at-rest with optional Customer-Managed Keys (CMEK)
  • Multi-Attach: Read-only attachment to multiple VMs for shared storage scenarios

Typical Use Cases

Database Workloads with Variable Requirements

Databases with changing load profiles benefit from Hyperdisk Balanced or Extreme. IOPS and throughput can be dynamically adjusted without stopping the VM or resizing the disk. This reduces costs and enables on-demand performance.

ML Training with High Throughput

Machine learning training requires high sequential throughput for loading large datasets. Hyperdisk ML is specifically optimized for these workloads and offers up to 1,200 MB/s throughput per volume.

Benefits

  • Independent scaling of performance and capacity with Hyperdisk
  • Wide selection of storage tiers for every workload type
  • Seamless integration with Compute Engine and GKE
  • Automatic replication and snapshots for data protection

Integration with innFactory

As a Google Cloud partner, innFactory supports you with Block Storage: storage architecture design, migration from existing block storage solutions, performance optimization, and cost management.

Typical Use Cases

Block storage volumes for Compute Engine VMs
High-performance database workloads with Hyperdisk
Dynamically scalable storage volumes for containers

Frequently Asked Questions

What is Google Cloud Block Storage?

Google Cloud Block Storage includes Persistent Disk and Hyperdisk, providing block storage volumes for Compute Engine VMs. Persistent Disk offers Standard, Balanced, Performance, and Extreme tiers, while Hyperdisk enables independently scalable IOPS and throughput values.

What is the difference between Persistent Disk and Hyperdisk?

Persistent Disk scales performance with disk size. Hyperdisk decouples performance from capacity and allows independent adjustment of IOPS, throughput, and storage. Hyperdisk is ideal for workloads with variable performance requirements.

What Hyperdisk types are available?

Hyperdisk Balanced for general workloads, Hyperdisk Extreme for highest IOPS requirements, Hyperdisk ML for ML training workloads with high throughput, and Hyperdisk Throughput for sequential workloads with high throughput.

Google Cloud Partner

innFactory is a certified Google Cloud Partner. We provide expert consulting, implementation, and managed services.

Google Cloud Partner

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