Technical Specifications
Storage Type
HDD
IOPS
500
Maximum Storage
5TB per volume
Resiliency
Triplicated data blocks
Self-healing
Enabled
API Access
Available
How it works
01
Create New Volume
Order a new block storage volume via Client Portal, CLI, or API.
02
Attach the Volume
Attach the new volume to your selected server.
03
Configure Volume
Configure your newly attached volume on the server side.
Popular use cases
Containers
Block storage is a perfect solution to host persistent data for containerized applications. It allows developers to manage and migrate containers as needed, keeping the data intact.
Storage Area Networks
Block storage volumes can be used to build a storage area network (SAN) architecture and present storage devices to multiple servers via a network connection.
Transactional Workloads
Developers choose Block Storage to host redundant and easy to scale transactional databases for storing mission critical data such as sales transactions, or operation logs.
Big Data Analytics
Block Storage is often used with Hadoop Distributed File System (HDFS) to store data as independently distributed units and achieve better performance.
Frequently asked questions
What is Elastic Block Storage?
Block Storage Service is a technology that divides data into bocks of equal sizes and stores them on a redundant physical infrastructure configured for fast data retrieval.
How does Elastic Block Storage work?
Elastic Block Storage service provides you with block storage volumes that you can attach and re-attach to any server within a region. Such volumes are presented to the operating system as locally attached devices.
What are the differences between block storage vs object storage?
Object storage is used for storing data in an unstructured format called objects. Each object can be accessed via HTTP protocol and has its own metadata that describes the stored content. While both block and object storage solutions are benefitial for cloud-native applications, developers typically use object storage to store unstructure data, and block storage for structured database storage, file system volumes, and other use cases where low latency and high redundancy is required.
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