Overview

GandiCloud Block Storage is a flexible and scalable storage solution designed to extend cloud server capacity with high-performance block-level storage. It provides users with the ability to create additional storage volumes that can be attached to virtual machines, enabling seamless data expansion without compromising speed or reliability. This service is optimized for workloads requiring fast read/write access and persistent data storage, such as databases, applications, and file systems. GandiCloud ensures secure and durable storage, making it suitable for various cloud-based environments.

Features and Capabilities

• **Scalability: **Easily create and resize block storage volumes from small to large capacities to match evolving storage needs without downtime.
• **High Performance: **Delivers low latency and high throughput for demanding applications, supporting fast read/write operations essential for databases and real-time processing.
• **Flexibility: **Volumes can be attached or detached from cloud servers as needed, enabling efficient storage management and resource allocation.
• **Data Durability and Security: **Provides reliable data storage with built-in redundancy and protection mechanisms to prevent data loss.
• **Compatibility: **Supports attachment to GandiCloud Compute instances, enabling integration with existing cloud infrastructure.
• **Persistent Storage: **Data remains intact even if the associated server instance is stopped or restarted, ensuring persistent availability.
• **Backup and Snapshots: **Allows snapshot creation for backup or cloning purposes, facilitating data recovery and replication workflows.
• **Multiple Volume Management: **Users can manage multiple storage volumes per instance, improving organization and segmentation of data storage.
• **API Access and Automation: **Full API support allows automation of volume creation, attachment, and management within user workflows or DevOps pipelines.
• **Multi-Region Availability: **Volumes can be provisioned in different geographical locations for redundancy and compliance with data residency requirements.