Detailed exploration of cloud block storage technology its architecture performance characteristics and optimal use cases for high-performance database and application workloads requiring low latency
This document provides an overview of cloud block storage in cloud computing, explaining its benefits, use cases, and considerations for provisioning. Cloud block storage allows you to store data files in the cloud, with some storage types requiring attachment to a compute node, while others can be accessed directly via the Internet or a private network. Cloud providers manage and maintain the storage infrastructure, ensuring data availability and scalability. The document also covers different types of cloud block storage, detailing their characteristics, advantages, and typical use cases. Additionally, it discusses IOPS (Input/Output Operations Per Second) capacity and its role in determining storage performance.
Block storage breaks files into chunks (or blocks) of data and stores each block separately under a unique address. Like direct attached storage and file storage, block storage must be attached to a compute node before it can be utilized for workloads. Block storage can be mounted from remote storage appliances, making it extremely resilient to failure and keeping data secure through encryption in transit and at rest.
Block storage is mounted as a volume to compute nodes using a dedicated network of fibers, which allows signals to move at the speed of light. These fibre optic networks are more expensive to build than the ethernet ones used for file storage, which is one reason why block storage tends to have a higher price-point. However, the faster and more consistent speed makes block storage perfect for workloads that need low-latency storage to work effectively.
Unlike file storage, which can be mounted onto multiple compute nodes, block storage is typically mounted onto only one compute node at a time. This makes block storage ideal for workloads that need consistently fast storage, such as databases and mail servers. However, it is not suitable for workloads that require disk sharing between compute nodes.
When provisioning block storage, it is important to consider the IOPS (Input/Output Operations Per Second) capacity. Most cloud providers allow you to specify IOPS characteristics when you provision storage and, in some cases, adjust the IOPS as needed. This flexibility allows you to adapt to changing application requirements or usage behaviour.
| Feature | Block Storage | File Storage |
|---|---|---|
| Data Storage Method | Breaks files into chunks (blocks) and stores each block separately | Stores files as a whole |
| Attachment | Must be attached to a compute node | Must be attached to a compute node |
| Network Type | Dedicated fiber optic network | Ethernet network |
| Speed | Faster and more consistent | Variable speed |
| Cost | Higher price-point due to fiber optic network | Generally lower cost |
| Resilience | Extremely resilient to failure, encryption in transit and at rest | Highly available, encryption in transit and at rest |
| Mounting | Mounted as a volume to a single compute node | Can be mounted to multiple compute nodes |
| Ideal Use Cases | Low-latency storage needs (e.g., databases, mail servers) | File shares, web hosting, collaborative spaces |
| IOPS Consideration | Important to consider IOPS capacity when provisioning | Not typically specified |
| Flexibility | IOPS characteristics can often be adjusted as needed | Less flexibility in performance adjustments |
Both block and file storage are taken from appliances maintained by the service provider. They are highly available and resilient, often including data encryption at rest and in transit. File storage is attached to a compute node using an ethernet network, sometimes called Network Attached Storage (NAS) or NFS Storage. While reliable, the speed of the connecting network can vary based on load.
Block storage, on the other hand, is attached via a high-speed fiber network, which is very reliable and consistent. File storage can be attached to multiple compute nodes at once, whereas block storage can only be attached to one node at a time. File storage is a good choice for file shares, workloads that do not require extremely fast connectivity, or where cost is a factor. Block storage is suitable for applications that need consistent fast access to disk, such as databases.
graph LR;
A[Block Storage] -->|Attached via| B[High-speed Fiber Network]
A -->|Mounted to| C[Single Compute Node]
A -->|Ideal for| D[Low-latency Workloads]
A -->|Consistent Speed| E[Databases, Mail Servers]
F[File Storage] -->|Attached via| G[Ethernet Network]
F -->|Mounted to| H[Multiple Compute Nodes]
F -->|Suitable for| I[File Shares, Web Hosting]
F -->|Variable Speed| J[Collaborative Spaces]
K[Commonalities] -->|Highly Available| A
K -->|Highly Available| F
K -->|Data Encryption| A
K -->|Data Encryption| F
When deciding between block and file storage, consider the specific needs of your application. For example, block storage is ideal for VMware configurations with multiple virtual servers needing boot volumes, or for transactional and relational databases requiring low latency and high performance. File storage is better for web hosting servers with a mix of structured and unstructured data, or for collaborative spaces where multiple users need simultaneous access.
Block and file storage are traditional types of storage that remain relevant and useful for various workloads, whether on-premise or in the cloud.
Block storage is a type of storage where data is stored in blocks and attached to a compute node. It is ideal for workloads that require low-latency storage, such as databases and mail servers. Block storage is mounted from remote storage appliances, making it highly resilient to failure and secure through encryption in transit and at rest. When provisioning block storage, it is important to consider the IOPS (Input/Output Operations Per Second) capacity, which indicates the speed at which disks can read and write data.